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The main result is that willingness to take risks decreases over the life course, linearly until approximately age 65 after which the slope becomes flatter. age,cohort,period,risk attitudes http://www.ssrn.com/abstract=2731612 3143388382 1556-5068 10.2139/ssrn.2731612 Thomas J.Dohmen FalkArmin BartGolsteyn DavidHuffman UweSunde article MR3514407 Constr. Approx. 2016 44 1 121--139 https://doi.org/10.1007/s00365-015-9318-y 10.1007/s00365-015-9318-y MichaelGriebel PeterOswald article MR3430826 Proc. Amer. Math. Soc. 2016 144 2 459--471 https://doi.org/10.1090/proc/12667 10.1090/proc/12667 NathanBowler StefanGeschke article MR3451928 Adv. Math. 2016 290 364--452 https://doi.org/10.1016/j.aim.2015.09.038 10.1016/j.aim.2015.09.038 ChristofGeiÃ? DanielLabardini-Fragoso JanSchröer incollection MR3534727 2016 9682 126--137 https://doi.org/10.1007/978-3-319-33461-5_11 Springer, [Cham] Lecture Notes in Comput. Sci. 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Anal. 2015 49 5 1463--1487 https://doi.org/10.1051/m2an/2015036 10.1051/m2an/2015036 SergioConti JanuszGinster MartinRumpf article ContiGladbach2015 Mechanics of Materials 2015 90 140--147 Dislocations in crystals can be studied by a Peierls-Nabarro type model, which couples linear elasticity with a nonconvex term modeling plastic slip.In the limit of small lattice spacing, and for dislocations restricted to planes, we show that it reduces to a line-tension model, with an energy depending on the local orientation and Burgers vector of the dislocation. This model predicts,for specific geometries, spontaneous formation of microstructure, in the sense that straight dislocations are unstable towards a zig-zag pattern.Coupling between dislocations in different planes can lead to microstructures over several length scales. /fileadmin/AppAna2/publications/preprints/ContiGladbach2015.pdf 10.1016/j.mechmat.2015.01.013 SergioConti PeterGladbach article MR3379022 SIAM J. Matrix Anal. Appl. 2015 36 3 1164--1179 https://doi.org/10.1137/140954647 10.1137/140954647 MeikDörpinghaus NorbertGaffke Lorens A.Imhof RudolfMathar article Griebel.Klitz:2015 2015 Accepted by Journal of Heat and Mass Transfer. Also available as INS Preprint No. 1505. M.Griebel M.Klitz article MR3504497 Zap. Nauchn. Sem. S.-Peterburg. Otdel. Mat. Inst. Steklov. (POMI) 2015 441 Veroyatnost i Statistika. 22 17--44 Reprinted in J. Math. Sci. (N.Y.) {{\bf2}19} (2016), no. 5, 612--630 https://doi.org/10.1007/s10958-016-3134-1 10.1007/s10958-016-3134-1 S.Albeverio B. K.Driver M.Gordina A. M.Vershik article MR3435614 J. High Energy Phys. 2015 10 025, front matter+68 https://doi.org/10.1007/JHEP10(2015)025 10.1007/JHEP10(2015)025 JieGu AlbrechtKlemm MarcosMariño JonasReuter article MR3353136 SIAM J. Comput. 2015 44 3 669--697 https://doi.org/10.1137/140975103 10.1137/140975103 ManindraAgrawal RohitGurjar ArpitaKorwar NitinSaxena article Karp:GHK15 Theoretical Computer Science 2015 562 436-452 MikaelGast MathiasHauptmann MarekKarpinski article MR3282224 Theoret. Comput. Sci. 2015 562 436--452 https://doi.org/10.1016/j.tcs.2014.10.021 10.1016/j.tcs.2014.10.021 MikaelGast MathiasHauptmann MarekKarpinski article MR3322393 Comm. Math. Phys. 2015 336 2 987--1051 https://doi.org/10.1007/s00220-014-2238-z 10.1007/s00220-014-2238-z JieGu HansJockers AlbrechtKlemm MasoudSoroush article RN23 Journal of Biomechanics 2015 48 16 4287-4296 <Go to ISI>://WOS:000367858600013 Journal Article 0021-9290 10.1016/j.jbiomech.2015.10.043 S.Heyden A.Nagler C.Bertoglio J.Biehler M. W.Gee W. A.Wall M.Ortiz article MR3396435 Calc. Var. Partial Differential Equations 2015 54 2 1847--1874 https://doi.org/10.1007/s00526-015-0846-x 10.1007/s00526-015-0846-x SergioConti AdrianaGarroni AnnalisaMassaccesi article Liu.Feld.Xiu.ea:2015 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2015 8 5 2306-2317 10.1109/JSTARS.2015.2438893 JiaLiu DustinFeld YongXue JochenGarcke ThomasSoddemann article Griebel.Harbrecht.Peters:2015 2015 INS Preprint No. 1521. Submitted to Stochastic Partial Differential Equations: Analysis and Computations M.Griebel H.Harbrecht M.Peters article MR3327356 SIAM J. Numer. Anal. 2015 53 2 852--873 https://doi.org/10.1137/130932144 10.1137/130932144 MichaelGriebel ChristianRieger BarbaraZwicknagl article MR3418825 Comm. Partial Differential Equations 2015 40 11 2047--2081 https://doi.org/10.1080/03605302.2015.1073300 10.1080/03605302.2015.1073300 K.Chouk M.Gubinelli article MR3318378 Commun. Math. Sci. 2015 13 3 623--639 https://doi.org/10.4310/CMS.2015.v13.n3.a2 10.4310/CMS.2015.v13.n3.a2 AlainBensoussan JensFrehse ChristineGrün article MR3404008 Int. Math. Res. Not. IMRN 2015 17 8036--8051 https://doi.org/10.1093/imrn/rnu188 10.1093/imrn/rnu188 AlexanderGorokhovsky MatthiasLesch article MR3299559 Numer. Linear Algebra Appl. 2015 22 1 76--100 https://doi.org/10.1002/nla.1939 10.1002/nla.1939 MichaelGriebel AlexanderHullmann PeterOswald article MR3406823 Forum Math. Pi 2015 3 e6, 75 https://doi.org/10.1017/fmp.2015.2 10.1017/fmp.2015.2 MassimilianoGubinelli PeterImkeller NicolasPerkowski article MR3392486 SIAM J. Sci. Comput. 2015 37 5 C497--C531 https://doi.org/10.1137/140970963 10.1137/140970963 TobinIsaac CarstenBurstedde Lucas C.Wilcox OmarGhattas article Griebel.Rieger.Zwicknagl:2015*1 2015 Accepted for publication in Foundations of Computational Mathematics. Also available as INS Preprint No. 1517 M.Griebel C.Rieger B.Zwicknagl article MR3383188 Comput. & Fluids 2015 119 115--130 https://doi.org/10.1016/j.compfluid.2015.06.029 10.1016/j.compfluid.2015.06.029 A.Rüttgers M.Griebel L.Pastrik H.Schmied D.Wittmann A.Scherrieble A.Dinkelmann T.Stegmaier article MR3388822 Comput. Methods Appl. Mech. Engrg. 2015 295 1--17 https://doi.org/10.1016/j.cma.2015.06.017 10.1016/j.cma.2015.06.017 D.Gallistl D.Peterseim article MR3375538 Arch. Ration. Mech. Anal. 2015 218 2 699--755 https://doi.org/10.1007/s00205-015-0869-7 10.1007/s00205-015-0869-7 SergioConti AdrianaGarroni MichaelOrtiz article MR3375538 Arch. Ration. Mech. Anal. 2015 218 2 699--755 https://doi.org/10.1007/s00205-015-0869-7 10.1007/s00205-015-0869-7 SergioConti AdrianaGarroni MichaelOrtiz article RN27 Archive for Rational Mechanics and Analysis 2015 218 2 699-755 <Go to ISI>://WOS:000358797700003 Journal Article 0003-9527 10.1007/s00205-015-0869-7 S.Conti A.Garroni M.Ortiz article Burkow.Griebel:2015 Zeitschrift für Geomorphologie 2015 58 3 15-32 also available as INS Preprint No. 1502 10.1127/zfg_suppl/2015/S-00215 M.Burkow M.Griebel book MR3445609 2015 29 89 Sociedade Brasileira de Matemática, Rio de Janeiro Ensaios Matemáticos [Mathematical Surveys] 978-85-8337-079-6 MassimilianoGubinelli NicolasPerkowski incollection MR3441810 2015 33 323--346 Schloss Dagstuhl. Leibniz-Zent. Inform., Wadern LIPIcs. Leibniz Int. Proc. Inform. 30th Conference on Computational Complexity RohitGurjar ArpitaKorwar NitinSaxena ThomasThierauf incollection MR3446413 2015 9294 656--667 https://doi.org/10.1007/978-3-662-48350-3_55 Springer, Heidelberg Lecture Notes in Comput. Sci. Algorithms---ESA 2015 10.1007/978-3-662-48350-3_55 AnnaGroÃ? wendt HeikoRöglin incollection MR3356411 2015 30 171--183 Schloss Dagstuhl. Leibniz-Zent. Inform., Wadern LIPIcs. Leibniz Int. Proc. Inform. 32nd International Symposium on Theoretical Aspects of Computer Science TobiasBrunsch AnnaGroÃ? wendt HeikoRöglin article MR3150717 Canad. Math. Bull. 2014 57 1 61--71 https://doi.org/10.4153/CMB-2012-031-5 10.4153/CMB-2012-031-5 StefanGeschke article MR3168277 IMA J. Numer. Anal. 2014 34 1 28--54 https://doi.org/10.1093/imanum/drs047 10.1093/imanum/drs047 MichaelGriebel HelmutHarbrecht article MR3171380 Constr. Approx. 2014 39 2 385--395 https://doi.org/10.1007/s00365-013-9219-x 10.1007/s00365-013-9219-x MarkusBachmayr WolfgangDahmen RonaldDeVore LarsGrasedyck article MR3191513 J. Math. Econom. 2014 51 136--153 https://doi.org/10.1016/j.jmateco.2013.10.010 10.1016/j.jmateco.2013.10.010 AliaGizatulina MartinHellwig article Altmann2014b Rev. Econ. Stud. 2014 81 1 30--56 This article provides evidence that involuntary unemployment, and the segmentation of labour markets into firms offering "good" and "bad" jobs, may both arise as a consequence of contractual incompleteness.We provide a simple model that illustrates how unemployment and market segmentation may jointly emerge as part of a market equilibrium in environments where work effort is not third-party verifiable. Using experimental labour markets that differ only in the verifiability of effort, we demonstrate empirically that contractual incompleteness can cause unemployment and segmentation. Our data are also consistent with the key channels through which the model explains the emergence of both phenomena. \textcopyright The Author 2013. Contractual incompleteness,Dual labour markets,Incentives,Laboratory experiment,Unemployment 00346527 10.1093/restud/rdt034 SteffenAltmann ArminFalk AndreasGrunewald DavidHuffman article MR3174815 Rev. Econ. Stud. 2014 81 1 30--56 https://doi.org/10.1093/restud/rdt034 10.1093/restud/rdt034 SteffenAltmann ArminFalk AndreasGrunewald DavidHuffman article MR3213801 SIAM J. Sci. Comput. 2014 36 3 A1027--A1047 https://doi.org/10.1137/130931382 10.1137/130931382 M.Griebel A.Hullmann article MR3263281 Theory Comput. 2014 10 237--256 https://doi.org/10.4086/toc.2014.v010a010 10.4086/toc.2014.v010a010 TobiasBrunsch NavinGoyal LuisRademacher HeikoRöglin article Griebel.Ruttgers:2013*1 Journal of non-Newtonian Fluid Mechanics 2014 205 41-63 also available as INS Preprint No. 1313 M.Griebel A.Rüttgers article Krebs05112014 Nucleic Acids Research 2014 http://nar.oxfordjournals.org/content/early/2014/11/05/nar.gku1078.abstract 10.1093/nar/gku1078 WolfgangKrebs Susanne V.Schmidt AlonGoren DominicDe Nardo LarisaLabzin AntonBovier ThomasUlas HeidiTheis MichaelKraut EickeLatz MarcBeyer Joachim L.Schultze article MR3230409 Commun. Pure Appl. Anal. 2014 13 5 1719--1736 https://doi.org/10.3934/cpaa.2014.13.1719 10.3934/cpaa.2014.13.1719 AlainBensoussan JensFrehse ChristineGrün article BursteddeWilcoxGhattas14 2014 Last accessed August 26, 2014 http://www.p4est.org/ \urlhttp://p4est.github.io/p4est-howto.pdf CarstenBurstedde LucasC. Wilcox OmarGhattas article MR3261107 J. Funct. Anal. 2014 267 9 3125--3153 https://doi.org/10.1016/j.jfa.2014.08.002 10.1016/j.jfa.2014.08.002 MassimilianoGubinelli FumioHiroshima JózsefLőrinczi book MR3616139 2014 195 MIT Press, Cambridge, MA Arne Ryde Memorial Lectures Series 978-0-262-02840-0 AlexGershkov BennyMoldovanu inbook Pflueger2014 2014 565--576 http://dx.doi.org/10.1007/978-3-319-14313-2_48 Lopes, Luís and Zilinskas, Julius and Costan, Alexandru and Cascella, Roberto G. and Kecskemeti, Gabor and Jeannot, Emmanuel and Cannataro, Mario and Ricci, Laura and Benkner, Siegfried and Petit, Salvador and Scarano, Vittorio and Gracia, José and Huno Springer International Publishing

Cham

Euro-Par 2014: Parallel Processing Workshops: Euro-Par 2014 International Workshops, Porto, Portugal, August 25-26, 2014, Revised Selected Papers, Part II 978-3-319-14313-2 10.1007/978-3-319-14313-2_48 DirkPflüger Hans-JoachimBungartz MichaelGriebel FrankJenko TilmanDannert MarioHeene ChristophKowitz Alfredo ParraHinojosa PeterZaspel incollection MR3329339 2014 102 211--235 https://doi.org/10.1007/978-3-319-08159-5_11 Springer, Cham Lect. Notes Comput. Sci. Eng. Extraction of quantifiable information from complex systems 10.1007/978-3-319-08159-5_11 MichaelGriebel JanHamaekers FrederikHeber incollection Griebel.Hullmann:2014*1 2014 51-62 Also available as INS Preprint No. 1206 http://dx.doi.org/10.1007/978-3-319-09063-4_5 H. Bock and X. Hoang and R. Rannacher and J. Schlöder Springer International Publishing Modeling, Simulation and Optimization of Complex Processes - HPSC 2012 English 978-3-319-09062-7 10.1007/978-3-319-09063-4_5 M.Griebel A.Hullmann incollection MR3329337 2014 102 179--194 https://doi.org/10.1007/978-3-319-08159-5_9 Springer, Cham Lect. Notes Comput. Sci. Eng. Extraction of quantifiable information from complex systems 10.1007/978-3-319-08159-5_9 JochenGarcke IreneKlompmaker incollection Griebel.Oettershagen:2014 2014 97 109--136 Also available as INS Preprint no 1310. Springer Lecture Notes in Computational Science and Engineering Sparse grids and Applications MichaelGriebel JensOettershagen incollection MR3693087 2014 97 109--136 Springer, Cham Lect. Notes Comput. Sci. Eng. Sparse grids and applications---Munich 2012 MichaelGriebel JensOettershagen incollection Griebel.Hamaekers:2014 2014 97 1305 75--108 INS Preprint No. 1305 Springer Lecture Notes in Computational Science and Engineering Sparse grids and Applications Institute for Numerical Simulation, University of Bonn Preprint M.Griebel J.Hamaekers incollection MR3693086 2014 97 75--107 Springer, Cham Lect. Notes Comput. Sci. Eng. Sparse grids and applications---Munich 2012 MichaelGriebel JanHamaekers incollection MR3205045 2014 263--296 https://doi.org/10.1007/978-3-319-00786-1_12 Springer, Cham Singular phenomena and scaling in mathematical models 10.1007/978-3-319-00786-1_12 MichaelGriebel AlexanderHullmann incollection Griebel.Harbrecht:2014 2014 97 55--74 Also available as INS Preprint No. 1304. Springer Lecture Notes in Computational Science and Engineering Sparse grids and Applications M.Griebel H.Harbrecht incollection MR3693085 2014 97 55--74 Springer, Cham Lect. Notes Comput. Sci. Eng. Sparse grids and applications---Munich 2012 MichaelGriebel HelmutHarbrecht incollection MR3333294 2014 8894 208--220 https://doi.org/10.1007/978-3-319-13524-3_18 Springer, Cham Lecture Notes in Comput. Sci. Parameterized and exact computation 10.1007/978-3-319-13524-3_18 GregoryGutin StefanKratsch MagnusWahlström incollection MR3205046 2014 297--325 https://doi.org/10.1007/978-3-319-00786-1_13 Springer, Cham Singular phenomena and scaling in mathematical models 10.1007/978-3-319-00786-1_13 MichaelGriebel MargritKlitz incollection MR3328977 2014 165 193--211 https://doi.org/10.1007/978-3-319-05083-6_13 Birkhäuser/Springer, Cham Internat. Ser. Numer. Math. Trends in PDE constrained optimization 10.1007/978-3-319-05083-6_13 SergioConti BenedictGeihe MartinRumpf RüdigerSchultz incollection MR3328977 2014 165 193--211 https://doi.org/10.1007/978-3-319-05083-6_13 Birkhäuser/Springer, Cham Internat. Ser. Numer. Math. Trends in PDE constrained optimization 10.1007/978-3-319-05083-6_13 SergioConti BenedictGeihe MartinRumpf RüdigerSchultz inproceedings Adelsberger.Esser.Griebel.ea:2014 2014 Proceedings of the 11th World Congress on Computational Mechanics (WCCM XI), Barcelona, Spain, also available as INS Preprint No. 1401 and as IGPM Preprint No. 393 http://www.wccm-eccm-ecfd2014.org/frontal/Ebook.asp J.Adelsberger P.Esser M.Griebel S.Gro� M.Klitz A.Rüttgers inproceedings Garcke.Vanck:2014 2014 8724 466-481 inductive transfer learning; importance weighting; dataset shift Calders, Toon and Esposito, Floriana and Hüllermeier, Eyke and Meo, Rosa Springer Berlin Heidelberg Lecture Notes in Computer Science Proceedings of ECMLPKDD 2014, Nancy English 978-3-662-44847-2 10.1007/978-3-662-44848-9_30 JochenGarcke ThomasVanck inproceedings Griebel.Ruttgers:2014 2014 1593 539-543 Proceedings of PPS-29: The 29th International Conference of the Polymer Processing Society, Nuremberg, Germany, also available as INS Preprint No. 1308 AIP Conference Proceedings M.Griebel A.Rüttgers article MR3097046 Constr. Approx. 2013 38 2 235--251 https://doi.org/10.1007/s00365-012-9178-7 10.1007/s00365-012-9178-7 MichaelGriebel HelmutHarbrecht article MR3045704 J. Sci. Comput. 2013 55 3 575--605 https://doi.org/10.1007/s10915-012-9648-x 10.1007/s10915-012-9648-x OlivierBokanowski JochenGarcke MichaelGriebel IreneKlompmaker article MR3045704 J. Sci. Comput. 2013 55 3 575--605 https://doi.org/10.1007/s10915-012-9648-x 10.1007/s10915-012-9648-x OlivierBokanowski JochenGarcke MichaelGriebel IreneKlompmaker article MR3103769 Comput. Statist. Data Anal. 2013 68 155--169 https://doi.org/10.1016/j.csda.2013.06.010 10.1016/j.csda.2013.06.010 Mar\'\ia LuzGámiz Pérez LenaJanys Mar\'\ia DoloresMart\'\inez Miranda Jens PerchNielsen article Gester:2013:BAD:2442087.2442103 ACM Trans. Des. Autom. Electron. Syst. 2013 18 2 32:1--32:24 Global routing, detailed routing, routing optimization http://doi.acm.org/10.1145/2442087.2442103 ACM

New York, NY, USA

10.1145/2442087.2442103 MichaelGester DirkMüller TimNieberg ChristianPanten ChristianSchulte JensVygen article MR3024043 Fund. Math. 2013 220 2 155--189 https://doi.org/10.4064/fm220-2-5 10.4064/fm220-2-5 StefanGeschke article MR3022762 Transform. Groups 2013 18 1 149--178 https://doi.org/10.1007/s00031-013-9215-z 10.1007/s00031-013-9215-z Ch.Geiss B.Leclerc J.Schröer article MR3090232 Selecta Math. (N.S.) 2013 19 2 337--397 https://doi.org/10.1007/s00029-012-0099-x 10.1007/s00029-012-0099-x C.GeiÃ? B.Leclerc J.Schröer article MR3141754 SIAM J. Numer. Anal. 2013 51 6 3351--3372 https://doi.org/10.1137/120900113 10.1137/120900113 DanielElfverson Emmanuil H.Georgoulis AxelMÃ¥ lqvist DanielPeterseim article MR3077527 Ann. Probab. 2013 41 2 817--847 https://doi.org/10.1214/11-AOP705 10.1214/11-AOP705 AntonBovier VéroniqueGayrard article MR3101847 Probab. Theory Related Fields 2013 157 1-2 251--283 https://doi.org/10.1007/s00440-012-0456-x 10.1007/s00440-012-0456-x AntonBovier VéroniqueGayrard AdélaSvejda article MR3064982 Doc. Math. 2013 18 249--274 ChristofGeiss BernardLeclerc JanSchröer article MR3030707 J. Sci. Comput. 2013 55 1 149--172 https://doi.org/10.1007/s10915-012-9626-3 10.1007/s10915-012-9626-3 MichaelGriebel DanielWissel article MR3093292 Nonlinearity 2013 26 9 2499--2514 https://doi.org/10.1088/0951-7715/26/9/2499 10.1088/0951-7715/26/9/2499 Z.Brzeźniak M.Gubinelli M.Neklyudov article Altmann2013 IZA Discuss. Pap. 2013 7610 1--39 The behavioral relevance of non-binding default options is well established. While most research has focused on decision makers' responses to a given default, we argue that this individual decision making perspective is incomplete. Instead, a comprehensive understanding of the foundation of default effects requires taking account of the strategic interaction between default setters and decision makers. We provide a theoretical framework to analyze which default options arise in such interactions, and which defaults are more likely to affect behavior. The key drivers are the relative level of information of default setters and decision makers, and their alignment of interests. We show that default effects are more pronounced if interests of the default setter and decision makers are more closely aligned. Moreover, decision makers are more likely to follow default options the less they are privately informed about the relevant decision environment. In the second part of the paper we experimentally test the main predictions of the model. We report evidence that both the alignment of interests as well as the relative level of information are key determinants of default effects. An important policy relevant conclusion is that potential distortions arising from default options are unlikely if decision makers are either well-informed or reflect on the interests of default setters. C92,D03,D18,D83,behavioral economics,default options,incentives,laboratory experiment,libertarian paternalism http://www.eea-esem.com/files/papers/eea-esem/2012/2541/Altmann, Falk, Grunewald, Incentives and Information as Driving Forces of Default Effects.pdf

Bonn

Discussion Paper IZA SteffenAltmann ArminFalk AndreasGrunewald article BursteddeStadlerAlisicEtAl13 Geophysical Journal International 2013 192 3 889-906 10.1093/gji/ggs070 CarstenBurstedde GeorgStadler LauraAlisic Lucas C.Wilcox EhTan MichaelGurnis OmarGhattas article Falk2013f Econ. Inq. 2013 51 1 563--578 Field evidence suggests that people belonging to the same group often behave similarly, that is, behavior exhibits social interaction effects. We conduct a laboratory experiment that avoids the identification problem present in the field and allows us to study the behavioral logic of social interaction effects. Our novel design feature is that each subject is simultaneously a member of two randomly assigned and identical groups where only members ("neighbors") are different. We study behavior in a coordination game with multiple equilibria and a public goods game, which has only one equilibrium in material payoffs. We speak of social interactions if the same subject at the same time makes group-specific decisions that depend on their respective neighbors' decisions. We find that a majority of subjects exhibit social interaction effects both when the game has multiple equilibria in material payoffs and when it only has one equilibrium. C91,H26,H41,K42 http://doi.wiley.com/10.1111/j.1465-7295.2010.00332.x 00952583 10.1111/j.1465-7295.2010.00332.x ArminFalk UrsFischbacher SimonGächter article Neuen.Griebel.Hamaekers:2012 MRS Online Proceedings Library 2013 1535 In this paper we describe a multi-scale approach to ionmigration processes, which involves a bridging from theatomic scale to the macroscopic scale. To this end, thediffusion coefficient of a material i.e. a macroscopicphysical quantity, will be appropriately determined frommolecular dynamics simulations on the microscale. This way,performance predictions become possible prior to materialsynthesis. However, standard methods produce in generalwrong results for ensemble setups which correspond tobattery or capacitor applications. We introduce a novelmethod to derive correct values also for such problems.These values are then used in a macroscopic system ofpartial differential equation (Poisson-Nernst-Plancksystem) for the numerical simulation of ion migration in abattery. Also available as INS Preprint no. 1208 http://journals.cambridge.org/article_S1946427413004697 null 10.1557/opl.2013.469 ChristianNeuen MichaelGriebel JanHamaekers article MR3001432 Econom. Lett. 2013 118 1 121--125 https://doi.org/10.1016/j.econlet.2012.09.026 10.1016/j.econlet.2012.09.026 AlexGershkov BennyMoldovanu article MR3008845 Math. Comp. 2013 82 282 975--994 https://doi.org/10.1090/S0025-5718-2012-02638-X 10.1090/S0025-5718-2012-02638-X MichaelGriebel HelmutHarbrecht article MR3030769 Econometrica 2013 81 1 197--220 https://doi.org/10.3982/ECTA10592 10.3982/ECTA10592 AlexGershkov Jacob K.Goeree AlexeyKushnir BennyMoldovanu XianwenShi article MR3327509 Stoch. Partial Differ. Equ. Anal. Comput. 2013 1 2 325--350 https://doi.org/10.1007/s40072-013-0011-5 10.1007/s40072-013-0011-5 M.Gubinelli M.Jara article MR3097291 Math. Program. 2013 141 1-2, Ser. A 383--403 https://doi.org/10.1007/s10107-012-0531-1 10.1007/s10107-012-0531-1 BenedictGeihe MartinLenz MartinRumpf RüdigerSchultz article MR3068077 Comput. & Fluids 2013 80 356--364 https://doi.org/10.1016/j.compfluid.2012.01.021 10.1016/j.compfluid.2012.01.021 PeterZaspel MichaelGriebel article MR3085664 Comm. Math. Phys. 2013 323 1 143--175 https://doi.org/10.1007/s00220-013-1767-1 10.1007/s00220-013-1767-1 MargheritaDisertori AlessandroGiuliani article MR2983028 Math. Comp. 2013 82 281 383--400 https://doi.org/10.1090/S0025-5718-2012-02578-6 10.1090/S0025-5718-2012-02578-6 MichaelGriebel Frances Y.Kuo Ian H.Sloan article Garcke.Gerstner.Griebel:2013 Computing and Visualization in Science 2013 submitted J.Garcke T.Gerstner M.Griebel incollection MR3693069 2013 88 1--30 Springer, Heidelberg Lect. Notes Comput. Sci. Eng. Sparse grids and applications BastianBohn MichaelGriebel incollection MR3693074 2013 88 121--150 Springer, Heidelberg Lect. Notes Comput. Sci. Eng. Sparse grids and applications MichaelGriebel AlexanderHullmann incollection MR3693072 2013 88 81--105 Springer, Heidelberg Lect. Notes Comput. Sci. Eng. Sparse grids and applications JochenGarcke ThomasGerstner MichaelGriebel incollection MR3693072 2013 88 81--105 Springer, Heidelberg Lect. Notes Comput. Sci. Eng. Sparse grids and applications JochenGarcke ThomasGerstner MichaelGriebel incollection MR3693071 2013 88 57--80 https://doi.org/10.1007/978-3-642-31703-3 Springer, Heidelberg Lect. Notes Comput. Sci. Eng. Sparse grids and applications 10.1007/978-3-642-31703-3 JochenGarcke inproceedings Griebel.Hullmann:2012 2013 121--150 Also available as INS Preprint No. 1202 Springer Lecture Notes in Computational Science and Engineering Sparse grids and Applications M.Griebel A.Hullmann article MR2970260 SIAM J. Sci. Comput. 2012 34 3 A1460--A1487 https://doi.org/10.1137/110845598 10.1137/110845598 JamesMartin Lucas C.Wilcox CarstenBurstedde OmarGhattas article MR2986335 Eur. Math. Soc. Newsl. 2012 85 12--20 MartaSanz-Solé MichaelAtiyah ChristianBär Gert-MartinGreuel Yuri I.Manin Jean-PierreBourguignon article MR2833478 J. Amer. Math. Soc. 2012 25 1 21--76 https://doi.org/10.1090/S0894-0347-2011-00715-7 10.1090/S0894-0347-2011-00715-7 ChristofGeiss BernardLeclerc JanSchröer article MR2946344 Linear Algebra Appl. 2012 437 7 1596--1610 https://doi.org/10.1016/j.laa.2012.04.052 10.1016/j.laa.2012.04.052 MichaelGriebel PeterOswald article Karp:GHK12a CoRR 2012 abs/1210.2698 MikaelGast MathiasHauptmann MarekKarpinski article RN66 Physical Review E 2012 85 1 <Go to ISI>://WOS:000299990300007 Journal Article 1539-3755 ARTN 01660410.1103/PhysRevE.85.016604 M.Gonzalez J. Y.Yang C.Daraio M.Ortiz article AlisicGurnisStadlerEtAl12 Journal of Geophysical Research 2012 117 B10402 10.1029/2012JB009234 LauraAlisic MichaelGurnis GeorgStadler CarstenBurstedde OmarGhattas article MR2925571 Probab. Theory Related Fields 2012 153 1-2 97--147 https://doi.org/10.1007/s00440-011-0341-z 10.1007/s00440-011-0341-z A.Deya M.Gubinelli S.Tindel article MR2913247 J. Econom. Theory 2012 147 3 881--909 https://doi.org/10.1016/j.jet.2012.01.012 10.1016/j.jet.2012.01.012 AlexGershkov BennyMoldovanu article MR2872762 Econom. Theory 2012 49 1 59--80 https://doi.org/10.1007/s00199-008-0356-6 10.1007/s00199-008-0356-6 ChristianGroh BennyMoldovanu AnerSela UweSunde article MR3305566 Rend. Semin. Mat. Univ. Politec. Torino 2012 70 1 53--73 F.Flandoli M.Gubinelli E.Priola article MR2861805 Commun. Pure Appl. Anal. 2012 11 2 709--733 https://doi.org/10.3934/cpaa.2012.11.709 10.3934/cpaa.2012.11.709 MassimilianoGubinelli article MR2864796 Comm. Math. Phys. 2012 309 2 313--339 https://doi.org/10.1007/s00220-011-1374-y 10.1007/s00220-011-1374-y AlessandroGiuliani StefanMüller article MR3011500 Israel J. Math. 2012 191 2 901--922 https://doi.org/10.1007/s11856-012-0028-x 10.1007/s11856-012-0028-x MotiGitik PeterKoepke book MR2934655 2012 viii+348 Reprints of selected lectures from the Summer Schools Springer, Heidelberg Probability at Saint-Flour 978-3-642-25955-5 SergioAlbeverio HansFöllmer LeonardGross EdwinNelson incollection Bohn.Griebel:2012 2012 88 1--30 Also available as INS Preprint no 1201 J. Garcke and M. Griebel Springer Lecture Notes in Computational Science and Engineering Sparse grids and Applications 10.1007/978-3-642-31703-3_1 BastianBohn MichaelGriebel incollection MR3060476 2012 160 215--243 https://doi.org/10.1007/978-3-0348-0133-1_12 Birkhäuser/Springer Basel AG, Basel Internat. Ser. Numer. Math. Constrained optimization and optimal control for partial differential equations 10.1007/978-3-0348-0133-1_12 PradeepAtwal SergioConti BenedictGeihe MartinPach MartinRumpf RüdigerSchultz incollection MR3060476 2012 160 215--243 https://doi.org/10.1007/978-3-0348-0133-1_12 Birkhäuser/Springer Basel AG, Basel Internat. Ser. Numer. Math. Constrained optimization and optimal control for partial differential equations 10.1007/978-3-0348-0133-1_12 PradeepAtwal SergioConti BenedictGeihe MartinPach MartinRumpf RüdigerSchultz incollection MR2950121 2012 7112 169--180 https://doi.org/10.1007/978-3-642-28050-4_14 Springer, Heidelberg Lecture Notes in Comput. Sci. Parameterized and exact computation 10.1007/978-3-642-28050-4_14 JiongGuo IyadKanj StefanKratsch inproceedings 6241546 2012 459--464 Design Automation Conference (DAC), 2012 49th ACM/EDAC/IEEE M.Gester D.Muller T.Nieberg C.Panten C.Schulte J.Vygen inproceedings Bui-ThanhBursteddeGhattasEtAl12_gbfinalist 2012 SC12: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis TanBui-Thanh CarstenBurstedde OmarGhattas JamesMartin GeorgStadler LucasC. Wilcox inproceedings Garcke.Gerstner.Griebel:2012 2012 88 81--106 We present a machine learning approach using the sparsegrid combination technique for the forecasting of intradayforeign exchange rates. The aim is to learn the impact oftrading rules used by technical analysts just from theempirical behaviour of the market. To this end, the problemof analyzing a time series of transaction tick data istransformed by delay embedding into a D-dimensionalregression problem using derived measurements from severaldifferent exchange rates. Then, a grid-based approach isused to discretize the resulting high-dimensional featurespace. To cope with the curse of dimensionality we employsparse grids in the form of the combination technique.Here, the problem is discretized and solved for acollection of conventional grids. The sparse grid solutionis then obtained by linear combination of the solutions onthese grids. We give the results of this approach to FXforecasting using real historical exchange data of theEuro, the US dollar, the Japanese Yen, the Swiss Franc andthe British Pound from 2001 to 2005. also available as INS Preprint No. 1006 J. Garcke and M. Griebel Lecture Notes in Computational Science and Engineering Sparse Grids and Applications J.Garcke T.Gerstner M.Griebel inproceedings IsaacBursteddeGhattas12 2012 IEEE Proceedings of the 26th IEEE International Parallel & Distributed Processing Symposium TobinIsaac CarstenBurstedde OmarGhattas inproceedings Paprotny.Garcke:2012 2012 859-867

La Palma, Canary Islands, Spain

15th International Conference on Artificial Intelligence and Statistics (AISTATS 2012) AlexanderPaprotny JochenGarcke inproceedings SundarBirosBursteddeEtAl12 2012 ACM/IEEE SC12: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis HariSundar GeorgeBiros CarstenBurstedde JohannRudi OmarGhattas GeorgStadler article MR2802011 J. Comput. Appl. Math. 2011 235 15 4368--4388 https://doi.org/10.1016/j.cam.2011.04.002 10.1016/j.cam.2011.04.002 M.Engel M.Griebel article Griebel.Harbrecht:2011*1 2011 accepted by IMA Journal of Numerical Analysis, also available as INS Preprint No. 1109 M.Griebel H.Harbrecht article MR2755085 J. Combin. Theory Ser. A 2011 118 4 1334--1349 https://doi.org/10.1016/j.jcta.2010.12.006 10.1016/j.jcta.2010.12.006 StefanieFrick StefanGeschke article Griebel.Hamaekers.Heber:2011 Oberwolfach Report 2011 32 1804--1808 10.4171/OWR/2011/32 M.Griebel J.Hamaekers F.Heber article MR2834535 J. High Energy Phys. 2011 5 113, i, 82 https://doi.org/10.1007/JHEP05(2011)113 10.1007/JHEP05(2011)113 Thomas W.Grimm AlbrechtKlemm DenisKlevers article MR2802460 Stochastic Process. Appl. 2011 121 7 1445--1463 https://doi.org/10.1016/j.spa.2011.03.004 10.1016/j.spa.2011.03.004 F.Flandoli M.Gubinelli E.Priola article KL:Geschke2011b Archive for Mathematical Logic 2011 S.Geschke S.Fuchino L.Soukup article MR2822235 Adv. Math. 2011 228 1 329--433 https://doi.org/10.1016/j.aim.2011.05.011 10.1016/j.aim.2011.05.011 ChristofGei� BernardLeclerc JanSchröer article MR2800566 SIAM J. Sci. Comput. 2011 33 3 1103--1133 https://doi.org/10.1137/100791634 10.1137/100791634 CarstenBurstedde Lucas C.Wilcox OmarGhattas article MR3079111 Comput. Vis. Sci. 2011 14 8 371--383 https://doi.org/10.1007/s00791-013-0188-1 10.1007/s00791-013-0188-1 PeterZaspel MichaelGriebel article Zaspel.Griebel:2011*2 Computing and Visualization in Science 2011 14 8 371-383 Photorealistic visualization; Computational fluid dynamics; User interface; Multi-phase flows; Water; Animation http://dx.doi.org/10.1007/s00791-013-0188-3 Springer Berlin Heidelberg 1432-9360 10.1007/s00791-013-0188-1 PeterZaspel MichaelGriebel article StadlerBursteddeGurnis11 Spektrum der Wissenschaft 2011 12-14 Invited article GeorgStadler CarstenBurstedde MichaelGurnis article Abeler2011d Am. Econ. Rev. 2011 101 2 470--492 A key open question for theories of reference-dependent preferences is: what determines the reference point? One candidate is expectations: what people expect could affect how they feel about what actually occurs. In a real-effort experiment, we manipulate the rational expectations of subjects and check whether this manipulation influences their effort provision. We find that effort provision is significantly different between treatments in the way predicted by models of expectation-based, reference-dependent preferences: if expectations are high, subjects work longer and earn more money than if expectations are low. D12,D84,J22 http://www.ingentaconnect.com/content/aea/aer/2011/00000101/00000002/art00002 http://pubs.aeaweb.org/doi/abs/10.1257/aer.101.2.470 0002-8282 10.1257/aer.101.2.470 JohannesAbeler ArminFalk LorenzGoette DavidHuffman article MR2945113 Theor. Econ. 2011 6 2 157--184 https://doi.org/10.3982/TE700 10.3982/TE700 DenizDizdar AlexGershkov BennyMoldovanu article MR2771667 Arch. Ration. Mech. Anal. 2011 199 3 779--819 https://doi.org/10.1007/s00205-010-0333-7 10.1007/s00205-010-0333-7 SergioConti AdrianaGarroni StefanMüller article MR2771667 Arch. Ration. Mech. Anal. 2011 199 3 779--819 https://doi.org/10.1007/s00205-010-0333-7 10.1007/s00205-010-0333-7 SergioConti AdrianaGarroni StefanMüller article MR2844796 Graphs Combin. 2011 27 6 851--864 https://doi.org/10.1007/s00373-010-1006-x 10.1007/s00373-010-1006-x StefanGeschke MenachemKojman article Dolado.Griebel.Hamaekers.ea:2011 Journal of Materials Chemistry 2011 21 4445--4449 10.1039/C0JM04185H J.S. Dolado M.Griebel J.Hamaekers F.Heber article MR2783203 SIAM J. Comput. 2011 40 1 92--106 https://doi.org/10.1137/090753498 10.1137/090753498 HeinerAckermann Paul W.Goldberg Vahab S.Mirrokni HeikoRöglin BertholdVöcking article MR2779703 MLQ Math. Log. Q. 2011 57 1 5--13 https://doi.org/10.1002/malq.201010001 10.1002/malq.201010001 StefanGeschke incollection MR2790306 2011 539 135--151 https://doi.org/10.1090/conm/539/10632 Amer. Math. Soc., Providence, RI Contemp. Math. Combinatorics and physics 10.1090/conm/539/10632 MassimilianoGubinelli incollection MR2777752 2011 533 259--265 https://doi.org/10.1090/conm/533/10511 Amer. Math. Soc., Providence, RI Contemp. Math. Set theory and its applications 10.1090/conm/533/10511 StefanGeschke inproceedings Zaspel.Griebel:2011*1 2011 73 -78 In this paper, we report on the results of numericalexperiments in the field of computational fluid dynamics(CFD) on Amazon's HPC cloud. To this end, we benchmarkedour MPI-parallel fluid solver NaSt3DGPF on several HPCcompute nodes of the cloud system. Our solver can use CPUsand GPUs to calculate the simulation results. With apre-requested number of instances we observe for both, CPUsand GPUs, good scalability even for a larger number ofparallel processes, provided that the GPUs run in thenon-ECC mode. Furthermore, we see a high potential formedium sized parallel compute problems which are typicallypresent in industrial engineering applications. Network Cloud Computing and Applications (NCCA), 2011 First International Symposium on 10.1109/NCCA.2011.19 PeterZaspel MichaelGriebel unpublished Garcke.Gerstner.Griebel:2011 2011 submitted to Journal of Scientific Computing, also available as INS Preprint No. 1006 J.Garcke T.Gerstner M.Griebel unpublished Garcke.Gerstner.Griebel:2011 2011 submitted to Journal of Scientific Computing, also available as INS Preprint No. 1006 J.Garcke T.Gerstner M.Griebel article MR2595057 SIAM J. Numer. Anal. 2010 47 6 4759--4792 https://doi.org/10.1137/080736478 10.1137/080736478 MichaelGriebel MarkusHegland article MR2733158 J. Comput. Phys. 2010 229 24 9373--9396 https://doi.org/10.1016/j.jcp.2010.09.008 10.1016/j.jcp.2010.09.008 Lucas C.Wilcox GeorgStadler CarstenBurstedde OmarGhattas article Griebel.Zaspel:2010 Computer Science - Research and Development 2010 25 1--2 65--73 10.1007/s00450-010-0111-7 M.Griebel P.Zaspel article MR2646987 Topology Proc. 2010 36 393--398 StefanGeschke article MR2673107 J. High Energy Phys. 2010 4 015, 65 https://doi.org/10.1007/JHEP04(2010)015 10.1007/JHEP04(2010)015 Thomas W.Grimm Tae-WonHa AlbrechtKlemm DenisKlevers article MR2744805 J. Mech. Phys. Solids 2010 58 11 1834 https://doi.org/10.1016/j.jmps.2010.08.003 10.1016/j.jmps.2010.08.003 VikramGavini JaroslawKnap KaushikBhattacharya MichaelOrtiz article MR2719643 J. Complexity 2010 26 5 455--489 https://doi.org/10.1016/j.jco.2010.06.001 10.1016/j.jco.2010.06.001 MichaelGriebel MarkusHoltz article MR2577383 Games Econom. Behav. 2010 68 1 144--154 https://doi.org/10.1016/j.geb.2009.06.005 10.1016/j.geb.2009.06.005 AlexGershkov BennyMoldovanu article MR2640682 Internat. J. Numer. Methods Engrg. 2010 82 2 205--241 https://doi.org/10.1002/nme.2753 10.1002/nme.2753 M.Gonzalez B.Schmidt M.Ortiz article RN93 International Journal for Numerical Methods in Engineering 2010 82 2 205-241 <Go to ISI>://WOS:000276818900004 Journal Article 0029-5981 10.1002/nme.2753 M.Gonzalez B.Schmidt M.Ortiz article Steffens.Becker.Sander.ea:2009 Human Heredity 2010 69 268--284 M.Steffens T.Becker T.Sander R.Fimmers C.Herold D.Holler C.Leu S.Herms S.Cichon B.Bohn T.Gerstner M.Griebel M.Nöthen T.Wienker M.Baur article MR2661817 Nuclear Phys. B 2010 838 3 458--491 https://doi.org/10.1016/j.nuclphysb.2010.06.011 10.1016/j.nuclphysb.2010.06.011 Thomas W.Grimm Tae-WonHa AlbrechtKlemm DenisKlevers article MR2651899 Bull. Sci. Math. 2010 134 4 405--422 https://doi.org/10.1016/j.bulsci.2010.02.003 10.1016/j.bulsci.2010.02.003 F.Flandoli M.Gubinelli E.Priola article MR2778001 Internat. J. Numer. Methods Engrg. 2010 84 12 1407--1450 https://doi.org/10.1002/nme.2942 10.1002/nme.2942 M.Gonzalez B.Schmidt M.Ortiz article RN82 International Journal for Numerical Methods in Engineering 2010 84 12 1407-1450 <Go to ISI>://WOS:000285261100001 Journal Article 0029-5981 10.1002/nme.2942 M.Gonzalez B.Schmidt M.Ortiz article Griebel.Klitz:2009 SIAM MMS 2010 8 4 Also available as SFB611 preprint no 404 / 2008 10.1137/09077059X M.Griebel M.Klitz article MR2718267 Multiscale Model. Simul. 2010 8 4 1439--1460 https://doi.org/10.1137/09077059X 10.1137/09077059X M.Griebel M.Klitz article MR2888866 J. Econom. Theory 2010 145 6 2260--2281 https://doi.org/10.1016/j.jet.2010.07.007 10.1016/j.jet.2010.07.007 AliaGizatulina MartinHellwig article MR2641772 Ann. Inst. Henri Poincaré Probab. Stat. 2010 46 1 97--118 https://doi.org/10.1214/08-AIHP310 10.1214/08-AIHP310 FrancescoCaravenna GiambattistaGiacomin MassimilianoGubinelli article MR2649224 J. Mech. Phys. Solids 2010 58 2 256--280 https://doi.org/10.1016/j.jmps.2009.10.002 10.1016/j.jmps.2009.10.002 PhanishSuryanarayana VikramGavini ThomasBlesgen KaushikBhattacharya MichaelOrtiz article RN96 Journal of the Mechanics and Physics of Solids 2010 58 2 256-280 <Go to ISI>://WOS:000274551200012 Journal Article 0022-5096 10.1016/j.jmps.2009.10.002 P.Suryanarayana V.Gavini T.Blesgen K.Bhattacharya M.Ortiz article RN84 Journal of the Mechanics and Physics of Solids 2010 58 11 1834-1834 <Go to ISI>://WOS:000283901400005 Journal Article 0022-5096 10.1016/j.jmps.2010.08.003 V.Gavini J.Knap K.Bhattacharya M.Ortiz article MR2643198 Internat. J. Numer. Methods Fluids 2010 62 9 963--993 https://doi.org/10.1002/fld.2051 10.1002/fld.2051 RobertoCroce MichaelGriebel Marc AlexanderSchweitzer article MR2643198 Internat. J. Numer. Methods Fluids 2010 62 9 963--993 https://doi.org/10.1002/fld.2051 10.1002/fld.2051 RobertoCroce MichaelGriebel Marc AlexanderSchweitzer article MR2870191 ANZIAM J. Electron. Suppl. 2010 52 (C) C628--C643 MarkusHegland JochenGarcke article MR2608554 Internat. J. Theoret. Phys. 2010 49 4 728--758 https://doi.org/10.1007/s10773-010-0252-2 10.1007/s10773-010-0252-2 SergioAlbeverio Vladimir A.Geyler Evgeniy N.Grishanov Dmitriy A.Ivanov article MR2646382 Adv. Math. Phys. 2010 Art. ID 657878, 3 https://doi.org/10.1155/2010/657878 10.1155/2010/657878 Shao-MingFei SergioAlbeverio AdanCabello NaihuanJing DebashishGoswami article MR2578445 J. Differential Equations 2010 248 4 693--721 https://doi.org/10.1016/j.jde.2009.11.015 10.1016/j.jde.2009.11.015 MassimilianoGubinelli article MR2599193 Ann. Probab. 2010 38 1 1--75 https://doi.org/10.1214/08-AOP437 10.1214/08-AOP437 MassimilianoGubinelli SamyTindel article RN100 Physical Review B 2010 81 1 <Go to ISI>://WOS:000274001800031 Journal Article 1098-0121 ARTN 01411210.1103/PhysRevB.81.014112 J. J.Rimoli E.Gurses M.Ortiz article Alisic.Gurnis.Stadler.ea:2010 Geophysical Research Letters 2010 37 L22308 10.1029/2010GL045312 LauraAlisic MichaelGurnis GeorgStadler CarstenBurstedde LucasC. Wilcox OmarGhattas article Griebel.Hamaekers:2009 Zeitschrift für Physikalische Chemie 2010 224 527--543 M.Griebel J.Hamaekers article Stadler.Gurnis.Burstedde.ea:2010 Science 2010 329 5995 1033-1038 10.1126/science.1191223 GeorgStadler MichaelGurnis CarstenBurstedde LucasC. Wilcox LauraAlisic OmarGhattas article MR2666764 Random Structures Algorithms 2010 36 4 464--476 https://doi.org/10.1002/rsa.20303 10.1002/rsa.20303 Leslie AnnGoldberg MarkJerrum MarekKarpinski article MR2719646 J. Complexity 2010 26 5 523--551 https://doi.org/10.1016/j.jco.2010.04.003 10.1016/j.jco.2010.04.003 MichaelGriebel Frances Y.Kuo Ian H.Sloan article MR2593276 Invent. Math. 2010 180 1 1--53 https://doi.org/10.1007/s00222-009-0224-4 10.1007/s00222-009-0224-4 F.Flandoli M.Gubinelli E.Priola incollection MR2985085 2010 25 139--155 Dept. Math., Seconda Univ. Napoli, Caserta Quad. Mat. Stochastic partial differential equations and applications FrancoFlandoli MassimilianoGubinelli EnricoPriola incollection MR2725602 2010 6223 333--350 https://doi.org/10.1007/978-3-642-14623-7_18 Springer, Berlin Lecture Notes in Comput. Sci. Advances in cryptology---CRYPTO 2010 10.1007/978-3-642-14623-7_18 ThorstenKleinjung KazumaroAoki JensFranke Arjen K.Lenstra EmmanuelThomé Joppe W.Bos PierrickGaudry AlexanderKruppa Peter L.Montgomery Dag ArneOsvik Hermante Riele AndreyTimofeev PaulZimmermann incollection Gerstner.Griebel:2008 2010 http://www.wiley.com//legacy/wileychi/eqf/index.html R. Cont John Wiley and Sons Encyclopedia of Quantitative Finance T.Gerstner M.Griebel incollection Griebel.Hamaekers:2010 2010 3 237--253 M. Dolg Oldenbourg Wissenschaftsverlag GmbH

München

Progress in Physical Chemistry Modern and Universal First-principles Methods for Many-electron Systems in Chemistry and Physics 978-3-486-59827-8 M.Griebel J.Hamaekers inproceedings Burstedde.Ghattas.Gurnis.ea:2010 2010 ACM/IEEE SC10: Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis CarstenBurstedde OmarGhattas MichaelGurnis TobinIsaac GeorgStadler TimWarburton LucasC. Wilcox article Griebel.Heber:2009 2009 INS Preprint no 0912 M.Griebel F.Heber article Griebel.Hamaekers.Heber:2007 Computational Materials Science 2009 45 4 1097--1103 M.Griebel J.Hamaekers F.Heber article Burstedde.Ghattas:2009 Geophysics 2009 74 6 WCC37--WCC46 10.1190/1.3237116 CarstenBurstedde OmarGhattas article BursteddeBurtscherGhattasEtAl09 Journal of Physics: Conference Series 2009 180 012009 Journal of Physics: Conference Series Institute of Physics Publishing 10.1088/1742-6596/180/1/012009 CarstenBurstedde MartinBurtscher OmarGhattas GeorgStadler TiankaiTu Lucas C.Wilcox article MR2519087 Insurance Math. Econom. 2009 44 3 434--446 https://doi.org/10.1016/j.insmatheco.2008.12.003 10.1016/j.insmatheco.2008.12.003 ThomasGerstner MichaelGriebel MarkusHoltz article MR2551896 Commun. Number Theory Phys. 2009 3 2 363--443 https://doi.org/10.4310/CNTP.2009.v3.n2.a4 10.4310/CNTP.2009.v3.n2.a4 TudorDimofte SergeiGukov JonatanLenells DonZagier article MR2491820 Computing 2009 84 1-2 1--25 https://doi.org/10.1007/s00607-009-0027-x 10.1007/s00607-009-0027-x JochenGarcke MarkusHegland article MR2460265 Comm. Pure Appl. Math. 2009 62 1 1--56 https://doi.org/10.1002/cpa.20260 10.1002/cpa.20260 MassimilianoGubinelli JózsefLörinczi article MR2485861 J. Phys. A 2009 42 10 105205, 22 https://doi.org/10.1088/1751-8113/42/10/105205 10.1088/1751-8113/42/10/105205 S.Albeverio U.Günther S.Kuzhel article gershkov2009learning Am. Econ. Rev. 2009 99 4 1576--1588 American Economic Association AlexGershkov BennyMoldovanu article MR2499706 Ann. Pure Appl. Logic 2009 157 2-3 148--160 https://doi.org/10.1016/j.apal.2008.09.014 10.1016/j.apal.2008.09.014 StefanGeschke article MR2491548 SIAM J. Sci. Comput. 2009 31 3 1840--1857 https://doi.org/10.1137/070710524 10.1137/070710524 GregoryBeylkin JochenGarcke Martin J.Mohlenkamp article MR2558696 Constr. Approx. 2009 30 3 653--675 https://doi.org/10.1007/s00365-009-9054-2 10.1007/s00365-009-9054-2 JürgenBraun MichaelGriebel article MR2521413 Ann. Inst. Henri Poincaré Probab. Stat. 2009 45 2 545--576 https://doi.org/10.1214/08-AIHP174 10.1214/08-AIHP174 FrancoFlandoli MassimilianoGubinelli FrancescoRusso article MR2521287 Math. Comp. 2009 78 268 2223--2257 https://doi.org/10.1090/S0025-5718-09-02248-0 10.1090/S0025-5718-09-02248-0 M.Griebel S.Knapek article BursteddeGhattasStadlerEtAl09 Computer Methods in Applied Mechanics and Engineering 2009 198 1691-1700 10.1016/j.cma.2008.12.015 CarstenBurstedde OmarGhattas GeorgStadler TiankaiTu LucasC. Wilcox article MR2511187 Selecta Math. (N.S.) 2009 14 3-4 323 https://doi.org/10.1007/s00029-009-0510-4 10.1007/s00029-009-0510-4 KarinBaur VictorGinzburg IainGordon AlisonParker CatharinaStroppel article MR2529609 Computing 2009 85 4 267--299 https://doi.org/10.1007/s00607-009-0045-8 10.1007/s00607-009-0045-8 ChristianFeuersänger MichaelGriebel article MR2524502 Nuclear Phys. B 2009 816 1-2 139--184 https://doi.org/10.1016/j.nuclphysb.2009.03.008 10.1016/j.nuclphysb.2009.03.008 Thomas W.Grimm Tae-WonHa AlbrechtKlemm DenisKlevers article Tromel.Simmer.Braun.ea:2008 Journal of Atmospheric and Oceanic Technology 2009 26 9 1798-1813 http://journals.ametsoc.org/doi/abs/10.1175/2009JTECHA1203.1 10.1175/2009JTECHA1203.1 S.Trömel C.Simmer J.Braun T.Gerstner M.Griebel incollection Garcke.Griebel.Thess:2008 2009 111--123 We also offer an english translation, see `Data Mining for the category management in the retail market' M. Grötschel and K. Lucas and V. Mehrmann acatech, Springer

Berlin, Heidelberg

Produktionsfaktor Mathematik 978-3-540-89434-6 J.Garcke M.Griebel M.Thess incollection Garcke.Griebel.Thess:2008 2009 111--123 We also offer an english translation, see `Data Mining for the category management in the retail market' M. Grötschel and K. Lucas and V. Mehrmann acatech, Springer

Berlin, Heidelberg

Produktionsfaktor Mathematik 978-3-540-89434-6 J.Garcke M.Griebel M.Thess proceedings Klitz.Griebel.Verleye.ea:2009 2009 Mathematisches Forschungsinstitut Oberwolfach 10.4171/OWR/2009/12 MargritKlitz MichaelGriebel BartVerleye DirkRoose StepanVladimirovitch Lomov inproceedings Karp:GKN09 2009 13--22 IEEE Computer Society Proceeding of the 19th Data Compression Conference (DCC) 10.1109/DCC.2009.61 TravisGagie MarekKarpinski YakovNekrich techreport Garcke.Griebel.Thess:2009 2009 This is the english version of the German scholarly book `Garcke, Griebel, Thess: Data-Mining für die Angebotsoptimierung im Handel, 2009' Institut für Numerische Simulation, Rheinische Friedrich-Wilhelms-Universität Bonn Preprint J.Garcke M.Griebel M.Thess techreport Garcke.Griebel.Thess:2009 2009 This is the english version of the German scholarly book `Garcke, Griebel, Thess: Data-Mining für die Angebotsoptimierung im Handel, 2009' Institut für Numerische Simulation, Rheinische Friedrich-Wilhelms-Universität Bonn Preprint J.Garcke M.Griebel M.Thess article Gerstner.Griebel.Holtz.ea:2006 Insurance: Math. Economics 2008 42 2 704-716 New regulations and a stronger competition have increasedthe importance of stochastic asset-liability managementmodels for insurance companies in recent years. In thispaper, we propose a discrete time asset-liabilitymanagement model for the simulation of simplified balancesheets of life insurance products. The model incorporatesthe most important life insurance product characteristics,the surrender of contracts, a reserve-dependent surplusdeclaration, a dynamic asset allocation and a two-factorstochastic capital market. All arising terms in the modelcan be calculated recursively which allows an easyimplementation and efficient simulation. Furthermore, themodel is designed to have a modular organisation whichpermits straightforward modifications and extensions tohandle specific requirements. In a sensitivity analysis forexample portfolios and parameters we investigate the impactof the most important product and management parameters onthe risk exposure of the insurance company and show thatthe model captures the main behaviour patterns of thebalance sheet development of life insurance products. T.Gerstner M.Griebel M.Holtz R.Goschnick M.Haep article Manzano.Dolado.Griebel.Hamaekers:2007 physica status solidi (a) - applications and materials science 2008 205 6 1324--1329 Also as INS Preprint No. 0707 http://www3.interscience.wiley.com/journal/119052819/abstract?CRETRY=1&SRETRY=0 10.1002/pssa.200778175 H.Manzano J.Dolado M.Griebel J.Hamaekers article MR2604971 Internet Math. 2008 5 4 439--457 (2009) http://projecteuclid.org/euclid.im/1265033174 HeinerAckermann Paul W.Goldberg Vahab S.Mirrokni HeikoRöglin BertholdVöcking article MR2461602 J. Fourier Anal. Appl. 2008 14 5-6 655--687 https://doi.org/10.1007/s00041-008-9044-y 10.1007/s00041-008-9044-y RémiGribonval HolgerRauhut KarinSchnass PierreVandergheynst article MR2379091 J. Algebra 2008 319 3 1007--1034 https://doi.org/10.1016/j.jalgebra.2007.10.026 10.1016/j.jalgebra.2007.10.026 K. A.Brown I. G.Gordon C. H.Stroppel article MR2458263 Real Anal. Exchange 2008 33 2 467--470 http://projecteuclid.org/euclid.rae/1229619424 EhrhardBehrends StefanGeschke TomaszNatkaniec article Kaenders27-2008 Beiträge zum Mathematikunterricht, GDM Tagung Eötvös Loránd Universität, Martin Stein Verlag, Münster 2008 Eva Vàsàrhelyi TomGoris RainerKaenders article MR2427512 Ann. Inst. Fourier (Grenoble) 2008 58 3 825--876 http://aif.cedram.org/item?id=AIF_2008__58_3_825_0 ChristofGeiss BernardLeclerc JanSchröer article MR2434735 Arch. Math. Logic 2008 47 6 567--578 https://doi.org/10.1007/s00153-008-0097-z 10.1007/s00153-008-0097-z StefanGeschke article MR2367196 Comm. Math. Phys. 2008 278 1 1--29 https://doi.org/10.1007/s00220-007-0398-9 10.1007/s00220-007-0398-9 F.Flandoli M.Gubinelli M.Hairer M.Romito article Griebel.Jager:2008 J. Chem. Phys. 2008 129 17 We present a new approach for the approximation of solventdensities around solutes of arbitrary shape. Our modelrepresents a three-dimensional 3d Born Green Yvon BGYequation for an arbitrary solute immersed into a molecularM solvent, the BGY3dM model. It comprises the famousKirkwood approximation as closure relation. The moleculesof the solvent are modeled as rigid bodies by taking thelimit of an infinite restoring force for the intramolecularinteractions. Furthermore, short-range potentials as wellas the long-range Coulomb interaction are taken intoaccount. The resulting integro-differential equations areefficiently solved by a Picard iteration and a solution ofthe linearized equations using Fourier transformations. Wecompare the results obtained from the presented BGY3dMmethod with results obtained by extensive moleculardynamics simulations for a HCl-like model solvent.Furthermore, we apply the method to carbon disulfide assolvent. The overall performance of the method ispromising. Copyright 2008 American Institute of Physics. This articlemay be downloaded for personal use only. Any other userequires prior permission of the author and the AmericanInstitute of Physics. A preprint is also available as SFB611 Preprint No. 403 http://link.aip.org/link/?JCP/129/174511 10.1063/1.2991296 M.Griebel L.Jager article MR2387936 J. Symbolic Logic 2008 73 1 151--164 https://doi.org/10.2178/jsl/1208358746 10.2178/jsl/1208358746 StefanGeschke SaharonShelah article MR2452968 J. High Energy Phys. 2008 10 077, 53 https://doi.org/10.1088/1126-6708/2008/10/077 10.1088/1126-6708/2008/10/077 Thomas W.Grimm AlbrechtKlemm incollection MR2766697 2008 235--248 https://doi.org/10.1007/978-3-540-79409-7_15 Springer, Berlin Modeling, simulation and optimization of complex processes 10.1007/978-3-540-79409-7_15 JochenGarcke MarkusHegland incollection MR2450757 2008 75--97 https://doi.org/10.1007/978-3-540-77203-3_7 Springer, Berlin Mathematics---key technology for the future 10.1007/978-3-540-77203-3_7 JuliaDohmen NatalieGrunewald FelixOtto MartinRumpf incollection MR2450746 2008 319--341 https://doi.org/10.1007/978-3-540-77203-3_20 Springer, Berlin Mathematics---key technology for the future 10.1007/978-3-540-77203-3_20 ThomasGerstner MichaelGriebel MarkusHoltz RalfGoschnick MarcusHaep incollection MR2484728 2008 253--283 https://doi.org/10.4171/062-1/6 Eur. Math. Soc., Zürich EMS Ser. Congr. Rep. Trends in representation theory of algebras and related topics 10.4171/062-1/6 ChristofGeiss BernardLeclerc JanSchröer inproceedings Griebel.Metsch.Schweitzer:2008 2008 39 299--306 Also available as SFB 611 preprint No. 368, Universität Bonn, 2008 Gernot Münster and Dietrich Wolf and Manfred Kremer NIC Series NIC Symposium 2008 MichaelGriebel BramMetsch MarcAlexander Schweitzer inproceedings Griebel.Metsch.Schweitzer:2008 2008 39 299--306 Also available as SFB 611 preprint No. 368, Universität Bonn, 2008 Gernot Münster and Dietrich Wolf and Manfred Kremer NIC Series NIC Symposium 2008 MichaelGriebel BramMetsch MarcAlexander Schweitzer inproceedings Verleye.Croce.Griebel.ea:2008 2008 68 13 2804-2810 The permeability of textile reinforcements is a crucialinput for the simulation of the impregnation stage of acomposite material fabrication process. In this paper, wepresent a fast and accurate simulation method for thepermeability of a textile reinforcement, based on a finitedifference discretisation of the Stokes equations. Resultsfor single layer, multi-layer and sheared models arediscussed. The influence of intra-yarn flow and periodic orwall boundary conditions are considered. We compare thenumerically computed permeability values with experimentaldata. Elsevier Applied Science Publishers Composites science and technology B.Verleye R.Croce M.Griebel M.Klitz S.V.Lomov G.Morren H.Sol I.Verpoest D.Roose inproceedings Verleye.Croce.Griebel.ea:2008*1 2008 9 A fast an accurate simulation tool for the permeability oftextiles is presented, based on a finite differencediscretisation of the Stokes equations. Results for singlelayer, multi layer and sheared models are discussed. Theinfluence of intrayarn flow and periodic respectively wallboundary conditions are considered. Simulated permeabilityvalues are compared with experimental data. For thecreation of the textile model the WiseTex software is used,which implements a generalised description of internalstructure of textile reinforcements on the unit cell level.A finite difference Navier-Stokes solver, NaSt3DGP, wasdeveloped at the Institute for Numerical Simulation at theUniversity of Bonn. The flow solver employs a Chorinprojection on a staggered grid for the solution of theNavier-Stokes. In the staggered grid approach, the pressureis discretised at the centre of the cells, while thevelocities are discretised on the edges. Thisdiscretisation leads to a strong coupling between pressureand velocities, and therefore avoids the occurrence ofunphysical oscillations in the pressure. The experimentalvalidation is performed with a highly automated centralinjection rig PIERS. International Conference on Flow Processes in Composite Materials edition

Québec

Proceedings of the 9th International Conference on Flow Processes in Composite Materials B.Verleye R.Croce M.Griebel M.Klitz S.V.Lomov G.Morren H.Sol I.Verpoest D.Roose inproceedings Burstedde.Ghattas.Gurnis.ea:2008 2008 ACM/IEEE SC08: Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis 978-1-4244-2835-9 CarstenBurstedde OmarGhattas MichaelGurnis EhTan TiankaiTu GeorgStadler LucasC. Wilcox ShijieZhong inproceedings Burstedde.Ghattas.Stadler.ea:2008 2008 {\emphWinner, NSF TeraGrid Capability Computing Challenge} Proceedings of Teragrid '08 CarstenBurstedde OmarGhattas GeorgStadler TiankaiTu LucasC. Wilcox techreport Griebel.Hamaekers.Heber:2008 2008 0704 Institut für Numerische Simulation, Universität Bonn INS Preprint M.Griebel J.Hamaekers F.Heber techreport Croce.Griebel.Schweitzer:2008 2008 395

Bonn, Germany

Sonderforschungsbereich 611, Universität Bonn Preprint R.Croce M.Griebel M.A. Schweitzer article Dolado.Griebel.Hamaekers:2007 Journal of the American Ceramic Society 2007 90 12 3938--3942 Also as INS Preprint No. 0701 J.S. Dolado M.Griebel J.Hamaekers article MR2375285 SIAM J. Appl. Math. 2007 68 3 599--618 https://doi.org/10.1137/060677409 10.1137/060677409 T.Preusser M.Droske C. S.Garbe A.Telea M.Rumpf article MR2369419 Computing 2007 81 1 1--34 https://doi.org/10.1007/s00607-007-0241-3 10.1007/s00607-007-0241-3 M.Griebel D.Oeltz article MR2352732 J. Lond. Math. Soc. (2) 2007 75 3 718--740 https://doi.org/10.1112/jlms/jdm017 10.1112/jlms/jdm017 ChristofGeiss BernardLeclerc JanSchröer article MR2316190 Random Oper. Stoch. Equ. 2007 15 1 89--104 https://doi.org/10.1515/ROSE.2007.006 10.1515/ROSE.2007.006 S.Albeverio Ya.Goncharenko M.Pratsiovytyi G.Torbin article MR2342055 J. High Energy Phys. 2007 8 058, 78 https://doi.org/10.1088/1126-6708/2007/08/058 10.1088/1126-6708/2007/08/058 Thomas W.Grimm AlbrechtKlemm MarcosMariño MarleneWeiss article MR2334924 Internat. J. Comput. Geom. Appl. 2007 17 3 201--230 https://doi.org/10.1142/S0218195907002318 10.1142/S0218195907002318 AnnetteEbbers-Baumann AnsgarGrüne RolfKlein MarekKarpinski ChristianKnauer AndrzejLingas article MR2292116 J. Pure Appl. Algebra 2007 209 1 1--36 https://doi.org/10.1016/j.jpaa.2006.05.004 10.1016/j.jpaa.2006.05.004 Richard N.Ball StefanGeschke James N.Hagler article MR2372464 Bull. Sci. Math. 2007 131 8 738--760 https://doi.org/10.1016/j.bulsci.2006.11.004 10.1016/j.bulsci.2006.11.004 SergioAlbeverio MariaGordina article MR2396220 J. Phys. A 2007 40 36 11113--11117 https://doi.org/10.1088/1751-8113/40/36/011 10.1088/1751-8113/40/36/011 SergioAlbeverio Shao-MingFei DebashishGoswami article MR2318620 Math. Res. Lett. 2007 14 2 215--226 https://doi.org/10.4310/MRL.2007.v14.n2.a5 10.4310/MRL.2007.v14.n2.a5 StefanGeschke MenachemKojman article Griebel.Hamaekers:2005 Computational Materials Science 2007 39 3 502--517 Also as INS Preprint No. 0501 M.Griebel J.Hamaekers article MR2318929 J. Mech. Phys. Solids 2007 55 4 669--696 https://doi.org/10.1016/j.jmps.2006.09.011 10.1016/j.jmps.2006.09.011 VikramGavini JaroslawKnap KaushikBhattacharya MichaelOrtiz article RN133 Journal of the Mechanics and Physics of Solids 2007 55 4 669-696 <Go to ISI>://WOS:000246501200001 Journal Article 0022-5096 10.1016/j.jmps.2006.09.011 V.Gavini J.Knap K.Bhattacharya M.Ortiz article MR2276358 Comm. Math. Phys. 2007 269 3 693--713 https://doi.org/10.1007/s00220-006-0142-x 10.1007/s00220-006-0142-x Luigi C.Berselli MassimilianoGubinelli article MR2318930 J. Mech. Phys. Solids 2007 55 4 697--718 https://doi.org/10.1016/j.jmps.2007.01.012 10.1016/j.jmps.2007.01.012 VikramGavini KaushikBhattacharya MichaelOrtiz article RN132 Journal of the Mechanics and Physics of Solids 2007 55 4 697-718 <Go to ISI>://WOS:000246501200002 Journal Article 0022-5096 10.1016/j.jmps.2007.01.012 V.Gavini K.Bhattacharya M.Ortiz article MR2287910 Comm. Math. Phys. 2007 271 2 387--430 https://doi.org/10.1007/s00220-006-0134-x 10.1007/s00220-006-0134-x J.Fröhlich M.Griesemer B.Schlein article Kaenders25-2007 Commissie Toekomst Wiskunde Onderwijs, cTWO 2007 R.van Asselt F.Beukers J.Blankespoor H.Broer P.Drijvers S.Garst C.van den Giessen R.Kaenders W.Kleijne M.Kollenveld M.Peletier D.Siersma A.van Streun C.Zaal article MR2299769 Math. Comp. 2007 76 259 1141--1161 https://doi.org/10.1090/S0025-5718-07-01973-4 10.1090/S0025-5718-07-01973-4 MichaelGriebel KarlScherer AlexanderSchweitzer article MR2299769 Math. Comp. 2007 76 259 1141--1161 https://doi.org/10.1090/S0025-5718-07-01973-4 10.1090/S0025-5718-07-01973-4 MichaelGriebel KarlScherer AlexanderSchweitzer article MR2360317 Compos. Math. 2007 143 5 1313--1334 https://doi.org/10.1112/S0010437X07002977 10.1112/S0010437X07002977 ChristofGeiss BernardLeclerc JanSchröer article MR2339626 M2AN Math. Model. Numer. Anal. 2007 41 2 215--247 https://doi.org/10.1051/m2an:2007015 10.1051/m2an:2007015 MichaelGriebel JanHamaekers article MR2278207 Linear Algebra Appl. 2007 420 2-3 249--275 https://doi.org/10.1016/j.laa.2006.07.014 10.1016/j.laa.2006.07.014 MarkusHegland JochenGarcke VivienChallis article RN127 Physical Review B 2007 76 18 <Go to ISI>://WOS:000251326700001 Journal Article 1098-0121 ARTN 18010110.1103/PhysRevB.76.180101 V.Gavini K.Bhattacharya M.Ortiz article MR2308801 Phys. Lett. B 2007 649 1 95--102 https://doi.org/10.1016/j.physletb.2007.04.007 10.1016/j.physletb.2007.04.007 MargheritaDisertori RazvanGurau JacquesMagnen VincentRivasseau book MR2341653 2007 5 xii+470 Numerics, algorithms, parallelization, applications Springer, Berlin Texts in Computational Science and Engineering 978-3-540-68094-9 MichaelGriebel StephanKnapek GerhardZumbusch conference Burstedde.Ghattas:2007 2007 1913--1917 SEG Expanded Abstracts 77th Annual International Meeting 10.1190/1.2792864 CarstenBurstedde OmarGhattas incollection MR2293516 2007 57 121--147 https://doi.org/10.1007/978-3-540-46222-4_8 Springer, Berlin Lect. Notes Comput. Sci. Eng. Meshfree methods for partial differential equations III 10.1007/978-3-540-46222-4_8 MichaelGriebel Marc AlexanderSchweitzer incollection MR2293516 2007 57 121--147 https://doi.org/10.1007/978-3-540-46222-4_8 Springer, Berlin Lect. Notes Comput. Sci. Eng. Meshfree methods for partial differential equations III 10.1007/978-3-540-46222-4_8 MichaelGriebel Marc AlexanderSchweitzer inproceedings Boerm.Garcke:2007 2007 4701 42--53 Joost N. Kok and Jacek Koronacki and Ramon Lopez de Mantaras and Stan Matwin and Dunja Mladen and Andrzej Skowron Proceedings of 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007. ECML 2007 10.1007/978-3-540-74958-5_8 S.Börm J.Garcke inproceedings Verleye.Croce.Griebel.ea:2007 2007 907 945--950 Cueto, E. and Chinesta, F. AIP Conference Proceedings B.Verleye R.Croce M.Griebel M.Klitz S.Lomov I.Verpoest D.Roose inproceedings Gerstner.Griebel.Holtz:2007 2007 148--153 C. Fernandes and H. Schmidli and N. Kolev Proc. Third Brazilian Conference on Statistical Modelling in Insurance and Finance T.Gerstner M.Griebel M.Holtz inproceedings Hegland.Griebel:2007 2007 48 C364--C379 http://anziamj.austms.org.au/ojs/index.php/ANZIAMJ/article/view/90 Wayne Read and A. J. Roberts ANZIAM J. Proceedings of the 13th Biennial Computational Techniques and Applications Conference, CTAC-2006 M.Hegland M.Griebel article MR2366325 ANZIAM J. 2006 48 (C) C725--C740 (2009) https://doi.org/10.1017/S1446181100003382 10.1017/S1446181100003382 JochenGarcke article MR2224047 Ann. Pure Appl. Logic 2006 140 1-3 40--51 https://doi.org/10.1016/j.apal.2005.09.003 10.1016/j.apal.2005.09.003 StefanGeschke article MR2213950 J. Stat. Phys. 2006 122 4 799--832 https://doi.org/10.1007/s10955-005-8081-z 10.1007/s10955-005-8081-z FrancescoCaravenna GiambattistaGiacomin MassimilianoGubinelli article MR2231783 Arch. Ration. Mech. Anal. 2006 181 3 535--578 https://doi.org/10.1007/s00205-006-0432-7 10.1007/s00205-006-0432-7 AdrianaGarroni StefanMüller article MR2209433 Numer. Linear Algebra Appl. 2006 13 2-3 193--214 https://doi.org/10.1002/nla.482 10.1002/nla.482 MichaelGriebel BramMetsch DanielOeltz Marc AlexanderSchweitzer article MR2209433 Numer. Linear Algebra Appl. 2006 13 2-3 193--214 https://doi.org/10.1002/nla.482 10.1002/nla.482 MichaelGriebel BramMetsch DanielOeltz Marc AlexanderSchweitzer article Fassbender.Griebel.Holtz.ea:2006 Linear Algebra and its Applications 2006 417 2-3, SI 299--300 Biographical-Item 10.1016/j.laa.2006.07.001 H.Fassbender M.Griebel O.Holtz G.W.Stewart C.Zenger article MR2195898 Internat. J. Numer. Methods Fluids 2006 50 4 437--468 https://doi.org/10.1002/fld.1067 10.1002/fld.1067 MartinEngel MichaelGriebel article MR2284401 Markov Process. Related Fields 2006 12 4 747--766 M.Gubinelli article MR2269312 Math. Nachr. 2006 279 15 1619--1633 https://doi.org/10.1002/mana.200310441 10.1002/mana.200310441 SergioAlbeverio YanaGontcharenko MykolaPratsiovytyi GrygoriyTorbin article Arndt.Griebel.Novak.Roubicek.Sittner:2005 International Journal of Plasticity 2006 22 10 1943--1961 In this article, we develop a continuum mechanical model to simulate deformation and phase transformation processes in shape memory alloys. The model is based on a detailed description of the stored energy. Furthermore, the energy dissipation due to phase transformations is taken into account via the maximum-dissipation principle. The results from the 3D numerical simulations of stress induced transformations from the cubic to the tetragonal phase and martensitic variant reorientations in NiMnGa are compared with laboratory experiments on NiMnGa [001]-oriented single crystals. MarcelArndt MichaelGriebel VáclavNovák TomásRoubícek PetrSittner article MR2219028 Math. Comp. 2006 75 255 1259--1286 https://doi.org/10.1090/S0025-5718-06-01865-5 10.1090/S0025-5718-06-01865-5 MichaelGriebel HenrykWoźniakowski article MR2263181 ANZIAM J. 2006 48 1 11--22 https://doi.org/10.1017/S1446181100003382 10.1017/S1446181100003382 JochenGarcke MarkusHegland OleNielsen article MR2250311 Linear Algebra Appl. 2006 417 2-3 299--300 https://doi.org/10.1016/j.laa.2006.07.001 10.1016/j.laa.2006.07.001 HeikeFassbender MichaelGriebel OlgaHoltz G. W.Stewart ChristophZenger article MR2242628 Invent. Math. 2006 165 3 589--632 https://doi.org/10.1007/s00222-006-0507-y 10.1007/s00222-006-0507-y ChristofGeiÃ? BernardLeclerc JanSchröer article MR2227041 Dyn. Partial Differ. Equ. 2006 3 2 161--172 https://doi.org/10.4310/DPDE.2006.v3.n2.a3 10.4310/DPDE.2006.v3.n2.a3 MassimilianoGubinelli article MR2231727 SIAM J. Sci. Comput. 2006 28 2 701--727 https://doi.org/10.1137/050629252 10.1137/050629252 MichaelGriebel DanielOeltz PanayotVassilevski article MR2346169 ANZIAM J. 2006 48 (C) C381--C396 (2009) M.Hegland M.Griebel article MR2235343 Nagoya Math. J. 2006 182 241--258 https://doi.org/10.1017/S002776300002688X 10.1017/S002776300002688X ChristofGeiss BernardLeclerc JanSchröer article MR2255351 Potential Anal. 2006 25 4 307--326 https://doi.org/10.1007/s11118-006-9013-5 10.1007/s11118-006-9013-5 MassimilianoGubinelli AntoineLejay SamyTindel incollection MR2275738 2006 1473--1506 Eur. Math. Soc., Zürich International Congress of Mathematicians. Vol. III MichaelGriebel JanHamaekers incollection MR2208210 2006 71--106 https://doi.org/10.1142/9789812774415_0004 World Sci. Publ., Hackensack, NJ Automorphic forms and zeta functions 10.1142/9789812774415_0004 HerbertGangl MasanobuKaneko DonZagier incollection Griebel.Hamaekers:2005b 2006 9 409--454 Also as INS Preprint No. 0502 M. Rieth and W. Schommers American Scientific Publishers 8 Handbook of Theoretical and Computational Nanotechnology M.Griebel J.Hamaekers incollection MR2275161 2006 153--178 https://doi.org/10.1007/3-540-35657-6_6 Springer, Berlin Analysis, modeling and simulation of multiscale problems 10.1007/3-540-35657-6_6 HaraldGarcke MartinLenz BarbaraNiethammer MartinRumpf UlrichWeikard incollection MR2275161 2006 153--178 https://doi.org/10.1007/3-540-35657-6_6 Springer, Berlin Analysis, modeling and simulation of multiscale problems 10.1007/3-540-35657-6_6 HaraldGarcke MartinLenz BarbaraNiethammer MartinRumpf UlrichWeikard incollection MR2277104 2006 331 106--161 https://doi.org/10.1017/CBO9780511721571.004 Cambridge Univ. Press, Cambridge London Math. Soc. Lecture Note Ser. Foundations of computational mathematics, Santander 2005 10.1017/CBO9780511721571.004 MichaelGriebel incollection MR2280670 Topology Proc. 2006 30 1 237--250 Spring Topology and Dynamical Systems Conference StefanGeschke inproceedings Verleye.Klitz.Croce.ea:2006 2006 65--72 Binetruy

Ecole des Mines de Douai, Douai

Proceedings of the 8th International Conference on Flow Processes in Composite Materials (FPCM-8) B.Verleye M.Klitz R.Croce M.Griebel S.V.Lomov D.Roose I.Verpoest techreport Griebel.Metsch.Schweitzer:2006 2006 271 Multigrid methods (MG) are known to be optimal solvers forlarge sparse linear systems arising from the finiteelement, finite difference or finite volume discretizationof a partial differential equation (PDE). Algebraicmultigrid methods (AMG) extend this approach to wide aclass of problems, e.g. anisotropic operators orunstructured grids. However, the parallelization of AMG,especially the construction of the coarse grids, is achallenging task. In this paper, we present an extension ofthe coarse grid classification scheme (CGC) for parallelAMG coarsening. Our new approach allows coarsening ratesthat are (essentially) independent of the number ofprocessors. This consequently means that the presentedscheme can coarsen a grid down to a single pointindependent of the number of processors, i.e. our schemecan be interpreted as an automatic coarse gridagglomeration scheme. The results of our numericalexperiments in two and three space dimensions indicate thatthe presented scheme gives robust coarsening ratesindependent of the number of processors and provides smalloperator and grid complexities. Sonderforschungsbereich 611, Universität Bonn Preprint MichaelGriebel BramMetsch MarcAlexander Schweitzer article MR2181024 Appl. Math. 2005 50 6 527--541 https://doi.org/10.1007/s10492-005-0035-x 10.1007/s10492-005-0035-x JensFrehse SonjaGoj JosefMálek article MR2141959 Math. Nachr. 2005 278 7-8 815--823 https://doi.org/10.1002/mana.200310274 10.1002/mana.200310274 StefanGille JensHornbostel article MR2190324 J. London Math. Soc. (2) 2005 72 3 545--570 https://doi.org/10.1112/S0024610705006988 10.1112/S0024610705006988 Jeand'Almeida LaurentGruson NicolasPerrin article MR2162866 Multiscale Model. Simul. 2005 4 2 531--562 https://doi.org/10.1137/040608738 10.1137/040608738 M.Arndt M.Griebel article MR2115084 Trans. Amer. Math. Soc. 2005 357 5 1953--1962 https://doi.org/10.1090/S0002-9947-04-03555-X 10.1090/S0002-9947-04-03555-X ChristofGeiss JanSchröer article MR2155188 Regul. Chaotic Dyn. 2005 10 3 285--306 https://doi.org/10.1070/RD2005v010n03ABEH000316 10.1070/RD2005v010n03ABEH000316 S.Albeverio G.Galperin I. L.Nizhnik L. P.Nizhnik article MR2178227 SIAM J. Math. Anal. 2005 36 6 1943--1964 https://doi.org/10.1137/S003614100343768X 10.1137/S003614100343768X A.Garroni S.Müller article MR2130943 Manuscripta Math. 2005 116 3 265--275 https://doi.org/10.1007/s00229-004-0513-6 10.1007/s00229-004-0513-6 JensFrehse SonjaGoj MarkSteinhauer article MR2134440 Phys. Lett. A 2005 340 1-4 37--42 https://doi.org/10.1016/j.physleta.2005.04.005 10.1016/j.physleta.2005.04.005 SergioAlbeverio Shao-MingFei DebashishGoswami article MR2180971 J. High Energy Phys. 2005 10 107, 35 https://doi.org/10.1088/1126-6708/2005/10/107 10.1088/1126-6708/2005/10/107 Matthias R.Gaberdiel AlbrechtKlemm IngoRunkel article MR2120991 J. Eur. Math. Soc. (JEMS) 2005 7 1 69--99 https://doi.org/10.4171/JEMS/22 10.4171/JEMS/22 AntonBovier VéroniqueGayrard MarkusKlein article MR2111936 Proc. Amer. Math. Soc. 2005 133 5 1307--1315 https://doi.org/10.1090/S0002-9939-04-07685-3 10.1090/S0002-9939-04-07685-3 StefanGeschke article MR2139449 SIAM J. Math. Anal. 2005 36 4 1259--1281 https://doi.org/10.1137/S0036141003433425 10.1137/S0036141003433425 JensFrehse SonjaGoj JosefMálek article MR2183111 Inform. and Comput. 2005 203 2 145--162 https://doi.org/10.1016/j.ic.2005.04.003 10.1016/j.ic.2005.04.003 FaridAblayev AidaGainutdinova MarekKarpinski CristopherMoore ChristopherPollett article MR2144987 Ann. Sci. �cole Norm. Sup. (4) 2005 38 2 193--253 https://doi.org/10.1016/j.ansens.2004.12.001 10.1016/j.ansens.2004.12.001 ChristofGeiss BernardLeclerc JanSchröer article MR2164032 Electron. J. Probab. 2005 10 no. 25, 865--900 https://doi.org/10.1214/EJP.v10-267 10.1214/EJP.v10-267 FrancoFlandoli MassimilianoGubinelli article MR2158261 Stochastic Process. Appl. 2005 115 9 1583--1601 https://doi.org/10.1016/j.spa.2005.04.007 10.1016/j.spa.2005.04.007 FrancoFlandoli MassimilianoGubinelli MarianoGiaquinta Vincenzo M.Tortorelli article MR2133631 Rev. Math. Phys. 2005 17 2 175--226 https://doi.org/10.1142/S0129055X05002327 10.1142/S0129055X05002327 SergioAlbeverio HannoGottschalk Minoru W.Yoshida article MR2165581 Ann. Probab. 2005 33 5 1825--1855 https://doi.org/10.1214/009117905000000323 10.1214/009117905000000323 HakimaBessaih MassimilianoGubinelli FrancescoRusso book MR2105735 2005 xiv+488 With an appendix by Pavel Exner AMS Chelsea Publishing, Providence, RI Second 0-8218-3624-2 S.Albeverio F.Gesztesy R.Hø egh-Krohn H.Holden incollection MR2278264 2005 43 71--92 https://doi.org/10.1007/3-540-27099-X_5 Springer, Berlin Lect. Notes Comput. Sci. Eng. Meshfree methods for partial differential equations II 10.1007/3-540-27099-X_5 MichaelGriebel PeterOswald Marc AlexanderSchweitzer incollection MR2278264 2005 43 71--92 https://doi.org/10.1007/3-540-27099-X_5 Springer, Berlin Lect. Notes Comput. Sci. Eng. Meshfree methods for partial differential equations II 10.1007/3-540-27099-X_5 MichaelGriebel PeterOswald Marc AlexanderSchweitzer incollection MR2258083 2005 3827 5--16 https://doi.org/10.1007/11602613_3 Springer, Berlin Lecture Notes in Comput. Sci. Algorithms and computation 10.1007/11602613_3 AnnetteEbbers-Baumann AnsgarGrüne MarekKarpinski RolfKlein ChristianKnauer AndrzejLingas inproceedings Griebel.Hamaekers.Wildenhues:2005 2005 Also as INS Preprint No. 0503 J. Sanchez

LABEIN, Bilbao, Spain

Proceedings 1st Nanoc-Workshop M.Griebel J.Hamaekers R.Wildenhues inproceedings Griebel.Schweitzer:2005 2005 Springer Proceedings of the International Conference on Computational Methods M.Griebel M.A. Schweitzer inproceedings Garcke.Griebel:2005 2005 19--28 Sparse grids were recently introduced for classication andregression problems. In this article we apply the sparsegrid approach to semi-supervised classication. We formulatethe semi-supervised learning problem by a regularizationapproach. Here, besides a regression formulation for thelabeled data, an additional term is involved which is basedon the graph Laplacian for an adjacency graph of all,labeled and unlabeled data points. It re ects the intrinsicgeometric structure of the data distribution. We discretizethe resulting problem in function space by the sparse gridmethod and solve the arising equations using the so-calledcombination technique. In contrast to recently proposedkernel based methods which currently scale cubic in regardto the number of overall data, our method scales onlylinear, provided that a sparse graph Laplacian is used.This allows to deal with huge data sets which involvemillions of points. We show experimental results with thenew approach. M.-R. Amini and O. Chapelle and R. Ghani Proceedings of ICML, Workshop on Learning with Partially Classified Training Data J.Garcke M.Griebel techreport Griebel.Jager.Voigt:2004b 2005 We present a new method to identify and track intrinsicpoint defects in a silicon crystal in a molecular dynamicssimulation. If the canonical ensemble is employed, theresulting trajectory can be used to compute the diffusioncoefficients of defects for a prescribed temperature. A fitof these values for different temperatures to anArrhenius--type function gives the temperature dependenceof the diffusion coefficient over the whole range ofinterest. For this purpose, we performed simulationsemploying the Stillinger--Weber potential as well as theTersoff potential. We were able to improve the accuracy ofthe approximation of the diffusion coefficients forself-interstitials and vacancies computed by Sinno (1998)and Tang et al. (1997). Institute for Numerical Simulation, University of Bonn M.Griebel L.Jager A.Voigt article MR2105909 Infin. Dimens. Anal. Quantum Probab. Relat. Top. 2004 7 4 507--526 https://doi.org/10.1142/S0219025704001748 10.1142/S0219025704001748 S.Albeverio G.Guatteri S.Mazzucchi article MR2104885 Comm. Math. Phys. 2004 252 1-3 415--476 https://doi.org/10.1007/s00220-004-1180-x 10.1007/s00220-004-1180-x J.Fröhlich M.Griesemer B.Schlein article MR2114964 J. Math. Log. 2004 4 2 109--145 https://doi.org/10.1142/S0219061304000334 10.1142/S0219061304000334 StefanGeschke MartinGoldstern MenachemKojman article MR2091358 J. Funct. Anal. 2004 216 1 86--140 https://doi.org/10.1016/j.jfa.2004.01.002 10.1016/j.jfa.2004.01.002 M.Gubinelli article MR2073314 Proc. Amer. Math. Soc. 2004 132 11 3367--3377 https://doi.org/10.1090/S0002-9939-04-07422-2 10.1090/S0002-9939-04-07422-2 UriAbraham StefanGeschke article Clarenz.Griebel.Rumpf.ea:2004 The Visual Computer 2004 20 329--343 Also as Preprint No.~89, SFB 611, Universität Bonn, Germany U.Clarenz M.Griebel M.Rumpf M.Schweitzer A.Telea article Clarenz.Griebel.Rumpf.ea:2004 The Visual Computer 2004 20 329--343 Also as Preprint No.erb=~=89, SFB 611, Universität Bonn, Germany U.Clarenz M.Griebel M.Rumpf M.Schweitzer A.Telea article Clarenz.Griebel.Rumpf.ea:2004 The Visual Computer 2004 20 329--343 Also as Preprint No.~89, SFB 611, Universität Bonn, Germany U.Clarenz M.Griebel M.Rumpf M.Schweitzer A.Telea article MR2070097 J. Statist. Phys. 2004 115 1-2 281--322 https://doi.org/10.1023/B:JOSS.0000019824.34397.1d 10.1023/B:JOSS.0000019824.34397.1d SergioCaracciolo AndreaGambassi MassimilianoGubinelli AndreaPelissetto article MR2094397 J. Eur. Math. Soc. (JEMS) 2004 6 4 399--424 https://doi.org/10.4171/JEMS/14 10.4171/JEMS/14 AntonBovier MichaelEckhoff VéroniqueGayrard MarkusKlein article MR2069435 Comput. Methods Appl. Mech. Engrg. 2004 193 17-20 1773--1788 https://doi.org/10.1016/j.cma.2003.12.025 10.1016/j.cma.2003.12.025 MichaelGriebel JanHamaekers article MR2004120 Compos. Math. 2004 140 1 1--14 https://doi.org/10.1112/S0010437X03000125 10.1112/S0010437X03000125 A. B.Goncharov Yu. I.Manin article MR2153483 J. Differential Geom. 2004 67 1 167--193 http://projecteuclid.org/euclid.jdg/1099587731 StavrosGaroufalidis PeterTeichner article Griebel.Jager.Voigt:2004 Solid State Phenomena 2004 95-96 35-40 M.Griebel L.Jager A.Voigt article MR2091947 J. Phys. A 2004 37 33 8193--8195 https://doi.org/10.1088/0305-4470/37/33/N02 10.1088/0305-4470/37/33/N02 SergioCaracciolo AndreaGambassi MassimilianoGubinelli AndreaPelissetto article MR2099602 Fund. Math. 2004 181 3 233--255 https://doi.org/10.4064/fm181-3-3 10.4064/fm181-3-3 SakaéFuchino StefanGeschke article MR2249147 Acta Numer. 2004 13 147--269 https://doi.org/10.1017/S0962492904000182 10.1017/S0962492904000182 Hans-JoachimBungartz MichaelGriebel book Bungartz.Griebel.Zenger:2004 2004 In this essential guide to programming computer graphics,the authors begin with the basics of generating images fromscratch on a computer screen, taking the first chapter todiscuss coordinate systems and transformations, rudimentaryshapes, and the representation of grays and colors. Thebook then moves into ways to model and then represent athree-dimensional figure, covering mathematical models, thevef graph, Euler operators, Bezier curves, and thenthree-dimensional clipping, lighting effects/shading,visualization, and ray tracing. The final chapter addressesspecific applications of techniques such as mapping,stereography, and image processing, explaining their use inrepresenting natural objects as well as in virtual realityprogramming. This book can be used as a reference forprofessionals in the computer graphics field and a textbookfor students of computer graphics programming.Key features:* Provides a comprehensive introduction to the field ofcomputer graphics and a solid foundation for further study* Covers the generation, modeling, and presentation of 3Dgraphics* Includes three appendixes covering interfaces andstandards, overviews of graphical software such as OpenGLand 3D Modeler, and exercises for additional practice* Provides tables for programming color codes for easyreference Charles River Media

Hingham, Massachusetts

H.-J.Bungartz M.Griebel C.Zenger incollection MR2138273 Acta Univ. Carolin. Math. Phys. 2004 45 2 35--43 32nd Winter School on Abstract Analysis StefanGeschke incollection MR2057566 J. Appl. Probab. 2004 41A 65--79 Stochastic methods and their applications https://doi.org/10.1239/jap/1082552191 10.1239/jap/1082552191 IrèneGijbels PeterHall Alo\"\isKneip incollection MR2155534 2004 23 95--139 https://doi.org/10.1007/978-1-4020-2776-5_7 Kluwer Acad. Publ., Dordrecht Trends Log. Stud. Log. Libr. Classical and new paradigms of computation and their complexity hierarchies 10.1007/978-1-4020-2776-5_7 StefanGeschke SandraQuickert incollection MR2096285 2004 58 129--139 Birkhäuser, Basel Progr. Probab. Seminar on Stochastic Analysis, Random Fields and Applications IV FrancoFlandoli MassimilianoGubinelli inproceedings Griebel.Preusser.Rumpf.ea:2004 2004 35--42 Proceedings of the IEEE Visualization 2004 M.Griebel T.Preusser M.Rumpf M.A. Schweitzer A.Telea inproceedings Arndt.Griebel:2004b 2004 We propose an upscaling scheme for the passage fromatomistic to continuum mechanical models of crystallinesolids. It is based on a Taylor expansion of thedeformation function up to a given order and describes thematerial properties to a higher extent than commonly usedcontinuum mechanical models. In particular, thediscreteness effects of the underlying atomistic model arecaptured. The qualitative properties of the technique arenumerically analyzed for the model problem of aone-dimensional atomic chain. The approach is then appliedto the real three-dimensional physical example of a siliconcrystal. The resulting approximation properties are studiedin a stationary setting. Finally, a numerical simulation ofthe time evolution of the elastic response of crystalsilicon is presented. P. Neittaanmäki and others Proceedings of the Fourth European Congress on Computational Methods in Applied Sciences and Engineering, Jyväskylä, Finland M.Arndt M.Griebel inproceedings Griebel.Hamaekers:2004b 2004 51--55 N. M. Ghoniem

Mechanical and Aerospace Engineering Department, University of California Los Angeles

Conference Proceedings, Second International Conference on Multiscale Materials Modeling M.Griebel J.Hamaekers techreport Croce.Griebel.Schweitzer:2004 2004 157 Sonderforschungsbereich 611, Universität Bonn Preprint R.Croce M.Griebel M.A. Schweitzer techreport Griebel.Scherer.Schweitzer:2004 2004 154 Sonderforschungsbereich 611, Universität Bonn Preprint M.Griebel K.Scherer M.A. Schweitzer article MR1964458 Probab. Theory Related Fields 2003 125 3 365--380 https://doi.org/10.1007/s00440-002-0231-5 10.1007/s00440-002-0231-5 S.Albeverio G.Guatteri S.Mazzucchi article MR2058066 SIAM J. Sci. Comput. 2003 25 2 385--407 https://doi.org/10.1137/S1064827502407810 10.1137/S1064827502407810 MichaelGriebel DanielOeltz Marc AlexanderSchweitzer article MR2058066 SIAM J. Sci. Comput. 2003 25 2 385--407 https://doi.org/10.1137/S1064827502407810 10.1137/S1064827502407810 MichaelGriebel DanielOeltz Marc AlexanderSchweitzer article MR1971258 J. Funct. Anal. 2003 199 2 386--410 https://doi.org/10.1016/S0022-1236(02)00062-9 10.1016/S0022-1236(02)00062-9 A.Garroni S.Müller article MR1952399 Bull. London Math. Soc. 2003 35 2 225--228 https://doi.org/10.1112/S0024609302001728 10.1112/S0024609302001728 AnthonyCarbery DirkGorges GianfrancoMarletta ChristophThiele article MR2009651 Computing 2003 71 1 65--87 https://doi.org/10.1007/s00607-003-0015-5 10.1007/s00607-003-0015-5 T.Gerstner M.Griebel article MR1974509 Comm. Math. Phys. 2003 235 3 379--425 https://doi.org/10.1007/s00220-003-0798-4 10.1007/s00220-003-0798-4 GérardBen Arous AntonBovier VéroniqueGayrard article MR1977880 Comm. Math. Phys. 2003 236 1 1--54 https://doi.org/10.1007/s00220-003-0799-3 10.1007/s00220-003-0799-3 GérardBen Arous AntonBovier VéroniqueGayrard article MR2016498 Contin. Mech. Thermodyn. 2003 15 5 463--485 https://doi.org/10.1007/s00161-003-0127-3 10.1007/s00161-003-0127-3 M.Arndt M.Griebel T.Roubícek article MR2000501 Topology Appl. 2003 133 3 241--253 https://doi.org/10.1016/S0166-8641(03)00103-2 10.1016/S0166-8641(03)00103-2 StefanGeschke SaharonShelah article MR1985486 J. Phys. A 2003 36 21 L315--L320 https://doi.org/10.1088/0305-4470/36/21/101 10.1088/0305-4470/36/21/101 SergioCaracciolo AndreaGambassi MassimilianoGubinelli AndreaPelissetto article MR1967418 Colloq. Math. 2003 95 2 163--183 https://doi.org/10.4064/cm95-2-2 10.4064/cm95-2-2 ChristofGeiss JanSchröer book MR1963559 2003 viii+239 Lectures from the Summer School held in Nordfjordeid, June 2001 https://doi.org/10.1007/978-3-642-19004-9 Springer-Verlag, Berlin Universitext 3-540-44059-3 10.1007/978-3-642-19004-9 M.Gross D.Huybrechts D.Joyce book MR1950475 2003 xx+372 https://doi.org/10.1007/978-3-662-12492-5 Springer-Verlag, Berlin Springer Monographs in Mathematics Second 3-540-43583-2 10.1007/978-3-662-12492-5 Sergei I.Gelfand Yuri I.Manin book Griebel.Knapek.Zumbusch.ea:2003 2003 Springer

Berlin, Heidelberg

M.Griebel S.Knapek G.Zumbusch A.Caglar incollection MR2003437 2003 26 161--192 https://doi.org/10.1007/978-3-642-56103-0_12 Springer, Berlin Lect. Notes Comput. Sci. Eng. Meshfree methods for partial differential equations (Bonn, 2001) 10.1007/978-3-642-56103-0_12 MichaelGriebel Marc AlexanderSchweitzer incollection MR2003437 2003 26 161--192 https://doi.org/10.1007/978-3-642-56103-0_12 Springer, Berlin Lect. Notes Comput. Sci. Eng. Meshfree methods for partial differential equations (Bonn, 2001) 10.1007/978-3-642-56103-0_12 MichaelGriebel Marc AlexanderSchweitzer incollection MR2008354 2003 519--542 Springer, Berlin Geometric analysis and nonlinear partial differential equations M.Griebel M. A.Schweitzer incollection MR2008354 2003 519--542 Springer, Berlin Geometric analysis and nonlinear partial differential equations M.Griebel M. A.Schweitzer inproceedings Griebel.Jager.Voigt:2003 2003 487--488 D. Hui

College of Engineering, University of New Orleans

ICCE-10 International Community for Composites Engineering M.Griebel L.Jager A.Voigt inproceedings Griebel.Hamaekers:2003*2 2003 213--214 D. Hui

College of Engineering, University of New Orleans

ICCE-10 International Community for Composites Engineering M.Griebel J.Hamaekers inproceedings Griebel.Koster:2003 2003 82 203-214 In this paper we apply the finite difference method onadaptive sparse grids [griebel:98] to the simulation ofturbulent flows. This method combines the flexibility andefficiency of finite difference schemes with the advantagesof an adaptive approximation by tensor product multiscalebases. We shortly discuss the method. Then, we presentnumerical results for a simple linear convection problemfor a validation of our scheme. Finally, results forthree-dimensional turbulent shear layers are shown. E.H. Hirschel Springer-Verlag Notes on Numerical Fluid Mechanics and Multidisciplinary Design Numerical Flow Simulation III M.Griebel F.Koster article RN203 Journal of Computer-Aided Materials Design 2002 8 2-3 127-149 <Go to ISI>://WOS:000177293400005 Journal Article 0928-1045 A. M.Cuitino L.Stainier G. F.Wang A.Strachan T.Cagin W. A.Goddard M.Ortiz article MR1885078 SIAM J. Sci. Comput. 2002 23 5 1655--1682 https://doi.org/10.1137/S1064827501391588 10.1137/S1064827501391588 MichaelGriebel Marc AlexanderSchweitzer article MR1885078 SIAM J. Sci. Comput. 2002 23 5 1655--1682 https://doi.org/10.1137/S1064827501391588 10.1137/S1064827501391588 MichaelGriebel Marc AlexanderSchweitzer article MR1951047 SIAM J. Sci. Comput. 2002 24 2 377--409 https://doi.org/10.1137/S1064827501395252 10.1137/S1064827501395252 MichaelGriebel Marc AlexanderSchweitzer article MR1951047 SIAM J. Sci. Comput. 2002 24 2 377--409 https://doi.org/10.1137/S1064827501395252 10.1137/S1064827501395252 MichaelGriebel Marc AlexanderSchweitzer article MR1953743 Infin. Dimens. Anal. Quantum Probab. Relat. Top. 2002 5 4 571--579 https://doi.org/10.1142/S0219025702001012 10.1142/S0219025702001012 SergioAlbeverio DebashishGoswami article MR1949487 Atti Accad. Naz. Lincei Cl. Sci. Fis. Mat. Natur. Rend. Lincei (9) Mat. Appl. 2002 13 2 143--148 Ivan G.Götz MarioPrimicerio Juan J. L.Velázquez article MR1891841 Ann. Henri Poincaré 2002 3 1 107--170 https://doi.org/10.1007/s00023-002-8614-9 10.1007/s00023-002-8614-9 J.Fröhlich M.Griesemer B.Schlein article Garcke.Griebel:2002 Intelligent Data Analysis 2002 6 6 483--502 (shortened version appeared in KDD 2001, Proc. of the Seventh ACM SIGKDD, F. Provost and R. Srikant (eds.), pages 87-96, ACM, 2001) J.Garcke M.Griebel article Garcke.Griebel:2002 Intelligent Data Analysis 2002 6 6 483--502 (shortened version appeared in KDD 2001, Proc. of the Seventh ACM SIGKDD, F. Provost and R. Srikant (eds.), pages 87-96, ACM, 2001) J.Garcke M.Griebel article MR1911826 Calc. Var. Partial Differential Equations 2002 14 4 483--516 https://doi.org/10.1007/s005260100112 10.1007/s005260100112 M.Flucher A.Garroni S.Müller article MR1942314 Israel J. Math. 2002 131 285--317 https://doi.org/10.1007/BF02785863 10.1007/BF02785863 S.Geschke M.Kojman W.Kubis R.Schipperus article MR1908910 Proc. Amer. Math. Soc. 2002 130 10 2871--2881 https://doi.org/10.1090/S0002-9939-02-06437-7 10.1090/S0002-9939-02-06437-7 StefanGeschke MenachemKojman article MR1912261 Ann. Inst. H. Poincaré Anal. Non Linéaire 2002 19 4 371--393 https://doi.org/10.1016/S0294-1449(01)00085-3 10.1016/S0294-1449(01)00085-3 AdrianaGarroni BarbaraNiethammer article MR1903384 R. Soc. Lond. Proc. Ser. A Math. Phys. Eng. Sci. 2002 458 2021 1223--1229 https://doi.org/10.1098/rspa.2001.0921 10.1098/rspa.2001.0921 G.Gioia A.DeSimone M.Ortiz A. M.Cuitiño article RN195 Proceedings of the Royal Society a-Mathematical Physical and Engineering Sciences 2002 458 2021 1223-1229 <Go to ISI>://WOS:000175395300011 Journal Article 1364-5021 G.Gioia A.DeSimone M.Ortiz A. M.Cuitino article MR1943903 Compositio Math. 2002 134 3 243--268 https://doi.org/10.1023/A:1020995202727 10.1023/A:1020995202727 M.Goresky G.Harder R.MacPherson A.Nair article MR1911735 Comm. Math. Phys. 2002 228 2 219--255 https://doi.org/10.1007/s002200200609 10.1007/s002200200609 AntonBovier MichaelEckhoff VéroniqueGayrard MarkusKlein article Frankland.Caglar.Brenner.ea:2002 Journal of Physical Chemistry B 2002 106 12 3046--3048 S. J. V.Frankland A.Caglar D. W.Brenner M.Griebel article MR1944550 Math. Nachr. 2002 246/247 68--82 https://doi.org/10.1002/1522-2616(200212)246:1<68::AID-MANA68>3.0.CO;2-Y 10.1002/1522-2616(200212)246:1<68::AID-MANA68>3.0.CO;2-Y DanielGrieser MatthiasLesch article MR1901734 Algebra Universalis 2002 47 1 69--93 https://doi.org/10.1007/s00012-002-8176-1 10.1007/s00012-002-8176-1 StefanGeschke article MR1902454 J. Math. Phys. 2002 43 6 2847--2857 https://doi.org/10.1063/1.1470705 10.1063/1.1470705 S.Albeverio G.Guatteri S.Mazzucchi article MR1936943 J. Graph Theory 2002 41 4 259--285 https://doi.org/10.1002/jgt.10067 10.1002/jgt.10067 E.Boros V.Gurvich S.Hougardy article MR1909563 J. Statist. Phys. 2002 108 1-2 361--369 https://doi.org/10.1023/A:1015456005923 10.1023/A:1015456005923 SergioAlbeverio HannoGottschalk Minoru W.Yoshida article Gachter2002a Scand. J. Econ. 2002 104 1 1--26 Recent evidence highlights the importance of social norms in many economic relations. However, many of these relationships are long term and provide repeated game incentives for performance. We experimentally investigate interaction effects of reciprocity and repeated game incentives in two treatments (one-shot and repeated) of a gift-exchange game. In both treatments we observe reciprocity, which is strengthened in the repeated game. A detailed analysis shows that, in the repeated game, some subjects imitate reciprocity. Thus, reciprocity and repeated game incentives reinforce each other. Observed behaviour is robust against experience. We conclude that long-term interaction is a "reciprocity-compatible" contract enforcement device. c 91,cation,incomplete contracts,j 30,jel classi,reciprocity,repeated games,reputation 0347-0520 03470520 10.2307/3441139 SimonGächter ArminFalk article MR1912628 Inform. Process. Lett. 2002 83 4 195--200 https://doi.org/10.1016/S0020-0190(01)00335-0 10.1016/S0020-0190(01)00335-0 ClemensGröpl StefanHougardy TillNierhoff Hans JürgenPrömel article MR1892850 Probab. Theory Related Fields 2002 122 3 317--340 https://doi.org/10.1007/s004400100163 10.1007/s004400100163 FrancoFlandoli MassimilianoGubinelli book MR1959641 2002 xiv+302+xxiv Grundlagen, Geometrische Modellierung, Algorithmen. [Foundations, geometric modeling, algorithms] https://doi.org/10.1007/978-3-663-01614-4 Friedr. Vieweg & Sohn, Braunschweig Mathematische Grundlagen der Informatik. [Mathematical Foundations of Computer Science] Second 3-528-16769-6 10.1007/978-3-663-01614-4 Hans-JoachimBungartz MichaelGriebel ChristophZenger incollection MR2008981 2002 553--560 Hermes Sci. Publ., Paris Finite volumes for complex applications, III (Porquerolles, 2002) GüntherGrün MartinLenz MartinRumpf incollection MR1971993 2002 2 119--136 https://doi.org/10.1007/978-1-4615-0701-7_7 Kluwer/Plenum, New York Int. Math. Ser. (N. Y.) Nonlinear problems in mathematical physics and related topics, II 10.1007/978-1-4615-0701-7_7 JensFrehse SonjaGoj JosefMálek incollection MR1950041 Synthese 2002 133 1-2 31--41 Foundations of the formal sciences, 1 (Berlin, 1999) https://doi.org/10.1023/A:1020819407308 10.1023/A:1020819407308 StefanGeschke incollection MR1948194 Appl. Math. 2002 47 6 517--543 Mathematical theory in fluid mechanics (Paseky, 2001) https://doi.org/10.1023/B:APOM.0000034537.55985.44 10.1023/B:APOM.0000034537.55985.44 JürgenBecker GüntherGrün MartinLenz MartinRumpf incollection MR1919500 2002 227 21--38 Dekker, New York Lecture Notes in Pure and Appl. Math. Stochastic partial differential equations and applications (Trento, 2002) SergioAlbeverio HannoGottschalk Jiang-LunWu inproceedings Gerstner.Meetschen.Crewell.Griebel.Simmer:2002 2002 533--536 (also as SFB 256 report 45, University of Bonn, 2001) Pfister, H. and Bailey, M. IEEE Computer Society Press Proceedings IEEE Visualization 2002 T.Gerstner D.Meetschen S.Crewell M.Griebel C.Simmer inproceedings Griebel.Zumbusch:2002 2002 9 479--492 The solution of partial differential equations on aparallel computer usually follows the data parallelparadigm. The grid is partitioned and mapped onto theprocessors. In this paper a parallelisable and cheap methodbased on space-filling curves is proposed. The partitioningis embedded into the parallel solution algorithm usingmultilevel iterative solvers and adaptive grid refinement.Numerical experiments on two massively parallel computersprove the efficiency of this approach. Horst Rollnik and Dietrich Wolf Forschungszentrum Jülich

Germany

NIC Series, ISBN 3-00-009055-X NIC Symposium 2001 M.Griebel G.Zumbusch article MR1878286 Adv. Math. 2001 164 2 349--398 https://doi.org/10.1006/aima.2001.2026 10.1006/aima.2001.2026 J.Fröhlich M.Griesemer B.Schlein article MR1872655 Computing 2001 67 3 225--253 https://doi.org/10.1007/s006070170007 10.1007/s006070170007 J.Garcke M.Griebel M.Thess article MR1872655 Computing 2001 67 3 225--253 https://doi.org/10.1007/s006070170007 10.1007/s006070170007 J.Garcke M.Griebel M.Thess article MR1845795 Lett. Math. Phys. 2001 55 1 9--16 https://doi.org/10.1023/A:1010943228970 10.1023/A:1010943228970 S. A.Albeverio P.Exner V. A.Geyler article MR1813041 Probab. Theory Related Fields 2001 119 1 99--161 https://doi.org/10.1007/PL00012740 10.1007/PL00012740 AntonBovier MichaelEckhoff VéroniqueGayrard MarkusKlein article MR1928725 Russ. J. Math. Phys. 2001 8 2 135--152 S.Albeverio M.Gundlach A.Khrennikov K.-O.Lindahl article MR1857892 Stochastic Anal. Appl. 2001 19 5 677--702 https://doi.org/10.1081/SAP-120000217 10.1081/SAP-120000217 SergioAlbeverio RomanGielerak FrancescoRusso article MR1846760 Ann. Pure Appl. Logic 2001 110 1-3 89--105 https://doi.org/10.1016/S0168-0072(01)00023-9 10.1016/S0168-0072(01)00023-9 SakaéFuchino StefanGeschke SaharonShelah LajosSoukup article MR1854894 Arch. Math. Logic 2001 40 6 425--435 https://doi.org/10.1007/PL00003847 10.1007/PL00003847 SakaéFuchino StefanGeschke LajosSoukup article MR1815715 Comm. Math. Phys. 2001 216 3 491--513 https://doi.org/10.1007/s002200000332 10.1007/s002200000332 SergioAlbeverio HannoGottschalk article MR1851596 Phys. Lett. A 2001 286 2-3 91--96 https://doi.org/10.1016/S0375-9601(01)00413-3 10.1016/S0375-9601(01)00413-3 SergioAlbeverio Shao-MingFei DebashishGoswami article MR1853754 J. Funct. Anal. 2001 185 1 129--154 https://doi.org/10.1006/jfan.2001.3747 10.1006/jfan.2001.3747 SergioAlbeverio MartinGrothaus Yuri G.Kondratiev MichaelRöckner article MR1805080 Interfaces Free Bound. 2001 3 1 101--118 https://doi.org/10.4171/IFB/34 10.4171/IFB/34 HaraldGarcke MartinRumpf UlrichWeikard article Boeker.Wittkowski.Wallenfang.ea:2001 Landtechnik-net 2001 2 refereed electronical journal P.Boeker M.Wittkowski O.Wallenfang F.Koster M.Griebel B.Diekmann P.Schulze-Lammers article Boeker.Koster.Croce.Griebel.ea:2001 Agrartechnische Forschung, Landtechnik-net 2001 92--97 refereed electronical journal P.Boeker M.Wittkowski O.Wallenfang F.Koster R.Croce M.Griebel B.Diekmann P.Schulze-Lammers incollection MR1886029 2001 75 303--318 Springer, Berlin Notes Numer. Fluid Mech. Numerical flow simulation, II K.Schneider M.Farge F.Koster M.Griebel incollection MR1945815 2001 11 235--279 https://doi.org/10.1007/978-1-4613-0255-1_7 Kluwer Acad. Publ., Dordrecht Comb. Optim. Steiner trees in industry 10.1007/978-1-4613-0255-1_7 ClemensGröpl StefanHougardy TillNierhoff Hans JürgenPrömel incollection MR1905634 2001 2204 217--228 https://doi.org/10.1007/3-540-45477-2_20 Springer, Berlin Lecture Notes in Comput. Sci. Graph-theoretic concepts in computer science (Boltenhagen, 2001) 10.1007/3-540-45477-2_20 ClemensGröpl StefanHougardy TillNierhoff Hans JürgenPrömel incollection MR1914097 2001 2138 59--70 https://doi.org/10.1007/3-540-44669-9_8 Springer, Berlin Lecture Notes in Comput. Sci. Fundamentals of computation theory (Riga, 2001) 10.1007/3-540-44669-9_8 FaridAblayev AidaGainutdinova MarekKarpinski incollection MR1936040 European J. Appl. Math. 2001 12 3 293--320 The dynamics of thin fluid films https://doi.org/10.1017/S0956792501004429 10.1017/S0956792501004429 GüntherGrün MartinRumpf inproceedings Garcke.Griebel:2001 2001 87--96 also as SFB 256 Preprint 713, Universität Bonn, 2001 F. Provost and R. Srikant Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, USA J.Garcke M.Griebel inproceedings Garcke.Griebel:2001 2001 87--96 also as SFB 256 Preprint 713, Universität Bonn, 2001 F. Provost and R. Srikant Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, USA J.Garcke M.Griebel inproceedings Garcke.Griebel:2001*1 2001 2179 22-32 also as SFB 256 Preprint 721, Universität Bonn, 2001 S. Margenov and J. Wasniewski and P. Yalamov Springer Lecture Notes in Computer Science Large-Scale Scientific Computations, Third International Conference, LSSC 2001, Sozopol, Bulgaria J.Garcke M.Griebel inproceedings Garcke.Griebel:2001*1 2001 2179 22-32 also as SFB 256 Preprint 721, Universität Bonn, 2001 S. Margenov and J. Wasniewski and P. Yalamov Springer Lecture Notes in Computer Science Large-Scale Scientific Computations, Third International Conference, LSSC 2001, Sozopol, Bulgaria J.Garcke M.Griebel inproceedings Wallenfang.Boeker.Koster.ea:2001 2001 86--91

Hohenheim

Proceedings: 5. Int. Tagung Bau, Technik und Umwelt O.Wallenfang P.Boeker F.Koster R.Croce M.Griebel B.Diekmann P.Schulze-Lammers techreport Griebel.Kiefer:2001 2001 We consider the efficient solution of discreteconvection-diffusion problems with dominating convection.It is well known that the standard hierarchical basismultigrid method (HBMG) leads neither to optimal (w.r.t.mesh size) nor to robust solvers for discrete operatorsarising from singularly perturbed convection-diffusionproblems. Its performance is strongly dependent on thecoefficients in the differential equation (e.g. strength ofconvection) \em and\, the mesh size. (Pre-)Waveletsplittings of the underlying function spaces allow forefficient algorithms which can be viewed as generalizedHBMG methods. They can be interpreted as ordinary multigridmethods which employ a special kind of multiscale smootherand show an optimal convergence behavior for the respectivenon-perturbed equations similar to classical multigrid.Here, we present a general Petrov--Galerkin multiscaleapproach which makes use of problem-dependent coarseningstrategies known from robust multigrid techniques(matrix-dependent prolongations, algebraic coarsening)together with certain (pre-)wavelet-like and hierarchicalmultiscale decompositions of the trial and test spaces onthe finest grid. The presented numerical results show thatby this choice generalized HBMG methods can be constructedwhich result in robust yet efficient solvers. Sonderforschungsbereich 256, Institut für Angewandte Mathematik, Universität Bonn SFB Preprint 720 M.Griebel F.Kiefer article MR1785338 SIAM J. Sci. Comput. 2000 22 3 853--890 https://doi.org/10.1137/S1064827599355840 10.1137/S1064827599355840 MichaelGriebel Marc AlexanderSchweitzer article MR1785338 SIAM J. Sci. Comput. 2000 22 3 853--890 https://doi.org/10.1137/S1064827599355840 10.1137/S1064827599355840 MichaelGriebel Marc AlexanderSchweitzer article RN221 Computing in Science & Engineering 2000 2 2 42-53 <Go to ISI>://WOS:000085643500008 Journal Article 1521-9615 Doi 10.1109/5992.825748 M.Aivazis W. A.Goddard D.Meiron M.Ortiz J.Pool J.Shepherd article MR1828556 Acta Appl. Math. 2000 64 1 33--73 https://doi.org/10.1023/A:1006457731833 10.1023/A:1006457731833 S.Albeverio E. I.Gordon A. Yu.Khrennikov article MR1804034 J. Phys. A 2000 33 46 L447--L451 https://doi.org/10.1088/0305-4470/33/46/102 10.1088/0305-4470/33/46/102 AntonBovier MichaelEckhoff VéroniqueGayrard MarkusKlein article MR1800156 Numer. Math. 2000 87 1 113--152 https://doi.org/10.1007/s002110000197 10.1007/s002110000197 GüntherGrün MartinRumpf article MR1807302 J. Comput. Phys. 2000 165 2 694--716 https://doi.org/10.1006/jcph.2000.6627 10.1006/jcph.2000.6627 JochenGarcke MichaelGriebel article MR1807302 J. Comput. Phys. 2000 165 2 694--716 https://doi.org/10.1006/jcph.2000.6627 10.1006/jcph.2000.6627 JochenGarcke MichaelGriebel article MR1771694 Constr. Approx. 2000 16 4 525--540 https://doi.org/10.1007/s003650010010 10.1007/s003650010010 M.Griebel S.Knapek article MR1755243 Math. Nachr. 2000 213 5--15 https://doi.org/10.1002/(SICI)1522-2616(200005)213:1<5::AID-MANA5>3.3.CO;2-H 10.1002/(SICI)1522-2616(200005)213:1<5::AID-MANA5>3.3.CO;2-H SergioAlbeverio HannoGottschalk Jiang-LunWu article Griebel.Zumbusch:2000*1 Computing 2000 64 4 287 In October 1998 the tenth workshop in a series of biannualGAMM seminars on multigrid methods was held. Almost twodecades have passed since the first one, and the topics ofthe seminars provide a good insight into the progressduring this period. The series began in the former GDR andis nowadays organised in cooperation with theGAMM-Committees for â??Discretization Methods in SolidMechanicsâ?? and â??Efficient Numerical Methods for PDEsâ??.As this was the tenth anniversary of the series, the rathergeneral title was chosen â??International GAMM-Workshop onMultigrid Methodsâ??... (guest editors) special issue multigrid methods Springer

Vienna, Austria

M.Griebel G.W. Zumbusch article MR1748169 Comm. Math. Phys. 2000 210 1 29--48 https://doi.org/10.1007/s002200050771 10.1007/s002200050771 S.Albeverio V. A.Geyler article Boeker.Wallenfang.Koster.ea:2000 Agrartechnische Forschung 2000 4 E84-E89 In connection with the methods used so far, thiscontribution describes a new approach for the modelling ofodour dispersion. Using the aid of example cases, themethodology of odour prognosis with different approaches isexplained, and their advantages and disadvantages as wellas their limitations are discussed. Particular attention isgiven to close-range dispersion from odour emission sourceswith low source heights and a complex fluidic environment.Typical examples of such cases are agricultural sources orbiological processing plants (composting, sewage treatmentplants). The new dispersion model is a further developmentof the NaSt3D model with two variants of improveddispersion modelling, an advection-diffusion approach(Euler model) and a Lagrange-particle model. This model isable to conduct time-resolved calculations of flows anddispersion and hence allows the question of concentrationfluctuation, which is important for odour phenomena, to beintegrated into the model. The parallelizing of thecomputer code enables terrain- and source configurationswhich have been too complex thus far to be calculated in afine division of the calculation grid. At present, computerclusters and high-performance computers can be used forthis purpose in anticipation of the fast furtherdevelopment of efficient personal computers. Theconsistently analytical approach avoids empirical modelsupplements with adaptation parameters, such as theotherwise necessary models of exceeding probability, andcan thus be calibrated on a physical basis. refereed electronical journal P.Boeker O.Wallenfang F.Koster R.Croce B.Diekmann M.Griebel P.Schulze-Lammers article RN219 International Journal of Solids and Structures 2000 37 27 3733-3760 <Go to ISI>://WOS:000086636500005 Journal Article 0020-7683 Doi 10.1016/S0020-7683(99)00155-9 A.Pandolfi P. R.Guduru M.Ortiz A. J.Rosakis article RN222 International Journal for Numerical Methods in Engineering 2000 47 1-3 287-316 <Go to ISI>://WOS:000084864500015 Journal Article 0029-5981 Doi 10.1002/(Sici)1097-0207(20000110/30)47:1/3<287::Aid-Nme772>3.0.Co;2-M Y.Guo M.Ortiz T.Belytschko E. A.Repetto article Griebel.Kiefer.Zumbusch:2000 Bonner Universitätsnachrichten 2000 217 48--49 Computer werden immer schneller und leistungsfähiger. Das gilt nicht nur für den Personalcomputer im Büro, sondern auch für die weltweit schnellsten Hochleistungs-Parallellrechner, die heute schon mehr als eine Billion Rechen-Operationen in nur einer Sekunde ausführen können. Insbesondere durch sie hat sich mit dem Wissenschaftlichen Rechnen und der Numerischen Simulation in den Naturwissenschaften neben dem traditionellen praktischen Weg (Experiment und Beobachtung) und dem theoretischen Ansatz (mathematische Formulierung) ein vielversprechender dritter Weg herausgebildet, um die Wirklichkeit zu beschreiben. In Bonn arbeiten die Spezialisten dieses Fachgebiets in der Abteilung für Wissenschaftliches Rechnen und Numerische Simulation im Institut für Angewandte Mathematik. also as `Simulating Processes as Realistically as Possible', Bonn University News International (BUNI), 7:28--29, November 2000

Bonn, Germany

M.Griebel F.Kiefer G.Zumbusch incollection MR1863210 2000 67--118 Springer, Berlin Advances in mathematical fluid mechanics (Paseky, 1999) MichaelGriebel FrankKoster incollection MR1744961 2000 548 561--615 Kluwer Acad. Publ., Dordrecht NATO Sci. Ser. C Math. Phys. Sci. The arithmetic and geometry of algebraic cycles (Banff, AB, 1998) DonZagier HerbertGangl incollection MR1796064 2000 261--269 World Sci. Publ., River Edge, NJ Quantum theory and symmetries (Goslar, 1999) SergioAlbeverio HannoGottschalk incollection MR1764193 Comput. Methods Appl. Mech. Engrg. 2000 184 2-4 303--332 Vistas in domain decomposition and parallel processing in computational mechanics https://doi.org/10.1016/S0045-7825(99)00233-9 10.1016/S0045-7825(99)00233-9 MichaelGriebel GerhardZumbusch incollection MR1744293 Internat. J. Numer. Methods Engrg. 2000 47 1-3 287--316 Richard H. Gallagher Memorial Issue https://doi.org/10.1002/(SICI)1097-0207(20000110/30)47:1/3<287::AID-NME772>3.3.CO;2-D 10.1002/(SICI)1097-0207(20000110/30)47:1/3<287::AID-NME772>3.3.CO;2-D YongGuo MichaelOrtiz TedBelytschko Eduardo A.Repetto inproceedings Koster.Schneider.Griebel.ea:2000 2000 E.H. Hirschel Vieweg-Verlag, Braunschweig DFG/CNRS Workshop, Berlin, 1999, Notes on Numerical Fluid Mechanics F.Koster K.Schneider M.Griebel M.Farge inproceedings Griebel:2000 2000 Zum Einfluss des wissenschaftlichen Werks von C. Zenger auf material science, life sciences, financial engineering und data mining Numerische Simulation als interdisziplinäre Herausforderung, Beiträge zum 60. Geburtstag von Christoph Zenger M.Griebel inproceedings Caglar.Griebel:2000 2000 R. Esser and P. Grassberger and J. Grotendorst and M. Lewerenz World Scientific Molecular Dynamics on Parallel Computers, NIC, Jülich 8-10 February 1999 A.Caglar M.Griebel inproceedings Frankland.Caglar.Brenner.Griebel:2000 2000 Proceedings of the MRS Fall Meeting S. J. V.Frankland A.Caglar D. W.Brenner M.Griebel article MR1693892 J. Complexity 1999 15 2 167--199 https://doi.org/10.1006/jcom.1999.0499 10.1006/jcom.1999.0499 Hans-JoachimBungartz MichaelGriebel article Griebel.Merz.Neunhoeffer:1999 Computing and Visualization in Science 1999 3 1--19 also as Report No 513, SFB 256, Univ. Bonn, 1997 M.Griebel W.Merz T.Neunhoeffer article MR1707773 Ann. Inst. Statist. Math. 1999 51 2 231--251 https://doi.org/10.1023/A:1003802007064 10.1023/A:1003802007064 IreneGijbels PeterHall Alo\"\isKneip article MR1712687 Numer. Math. 1999 83 2 279--312 https://doi.org/10.1007/s002110050450 10.1007/s002110050450 M.Griebel P.Oswald T.Schiekofer book MR1698374 1999 iv+222 Translated from the 1989 Russian original by the authors, Reprint of the original English edition from the series Encyclopaedia of Mathematical Sciences [Algebra, V, Encyclopaedia Math. Sci., 38, Springer, Berlin, 1994; MR1309679 (95g:18007)] Springer-Verlag, Berlin 3-540-65378-3 S. I.Gelfand Yu. I.Manin book Falk1999b 1999 20 3 251--284 Important features of labor relations are that contracts are incomplete, that workers and firms very often interact repeatedly and that there are opportunities for social exchange. To assess the relative importance of these features, we experimentally examine behavior in a game with incomplete contracts. Our main results are that mere repeated interaction with the same player increased effort levels as compared to one-shot interactions. Social approval incentives were not very important in our experiments. Reciprocal behavior clearly was the dominant pattern. Most of it was intrinsic reciprocity, i.e., neither repeated play nor approval incentives influenced the extent of reciprocity very much. We also show that there exist treatment-dependent equity considerations. (C) 1999 Elsevier Science B.V. All rights reserved. PsycINFO classification. 3020; 2360; 3660 JEL classification. C92; D64; J30; J50; J64. equity,gift-exchange game,incomplete contracts,interaction,labor relations,reciprocity,repeated,social approval J. Econ. Psychol. 0167-4870 01674870 10.1016/S0167-4870(99)00009-4 ArminFalk SimonGächter JuditKovács inbook Griebel.Schiekofer:1999*1 1999 53--96 Im Rahmen des Verbundprojektes PAR-CVD erfolgte dieEntwicklung von mathematischen Modellen, effizientennumerischen Techniken und Software zur Untersuchung undProzessoptimierung des Halbleiterschichtwachstums vonGa_1-xAl_xAs, Ga_1-xIn_xP undIn_1-xGa_xN durch metallorganischeGasphasenepitaxie (engl. Metal Organic Vapour PhaseEpitaxie, MOVPE). Die MOVPE ist ein Verarbeitungsschritt inder Halbleiterprozesstechnik vonIII-V-Verbindungs\-halbleitern, auf deren Grundlageelektronische und optoelektronische Bauelemente hergestelltwerden. Das Prozessmodell für die Simulation der MOVPEbasiert auf der mathematischen Beschreibung derGasströmung für den MOVPE-Reaktor, gekoppelt mitWärmeübergang einschliesslich thermischer Strahlung undMehrkomponentenstofftransport mit Thermodiffusion undhomogenen und heterogenen chemischen Reaktionen. \\ Dasnumerische Modell wurde für die Prozess- undReaktoroptimierung in linearen Horizontalreaktoren undindustriellen radialsymmetrischen Mehrscheibenreaktoren(Planetenreaktor) angewandt. Zur Modellvalidierung dernumerischen Rechenergebnisse wurden gezielteTem\-pe\-ra\-tur-- und Wachstumsratenmessungendurchgeführt. \\ Zur Beschleunigung des numerischenVerfahrens wurden dünne Gitter verwendet, die erheblichweniger Gitterpunkte benötigen als konventionelle volleGitter und damit einen wesentlich geringeren Rechenaufwandaufweisen. Dabei verschlechtert sich der Fehler beiVerwendung von dünnen Gittern beispielsweise beimInterpolanten nur um einen logarithmischen Term im Fall derMaximumsnorm und der L₂--Norm, im Fall der Energienormist die Ordnung des Fehlers des Interpolanten auf beidenGittern von derselben Ordnung. Bedingt durch diehierarchische Basis (Tensorprodukt-Basis), die dem dünnenGitter zugrundeliegt, ist der entstehendeDünn--Gitter--Löser vollständig adaptiv. Dieauftretenden Gleichungen werden auf den dünnen Gitternmit der Methode der Finiten Differenzen diskretisiert. Diehierbei verwendete Datenstruktur ist eine Hash-Tabelle, mitder auf natürliche Art und Weise sowohl hierarchische alsauch direkte Nachbarschaftsverhältnisse einfachrealisierbar sind. Zudem unterstützt die verwendeteDatenstruktur adaptive Vorgehensweisen, mit deren Hilfeproblematische Stellen in den mathematischen Lösungengenauer dargestellt werden können. \\ Das eingesetztenumerische Verfahren wurde zur weiteren Verringerung derRechenzeit parallelisiert. Dabei wurde für die gesamteBibliothek von Dünngitteroperatoren, die Grundlage zurKonstruktion und Lösung der in diesem Projekt anfallendenDifferentialgleichungssysteme ist, ein aufLeichtsgewichtsprozessen über gemeinsamen Speicherbasierendes Parallelisierungskonzept entworfen undimplementiert. Der dabei verwendete und auf nahezu allenRechensystemen mit gemeinsamen Speicher verfügbareProgrammierstandard POSIX Threads (Pthreads) bietet sowohlPlattformunabhängigkeit als auchHerstellerunterstützung. Durch die Entwicklung undAnwendung eines Benchmarks für Pthreads konnten dieLeistungsmessungen vergleichend bewertet und weiteroptimiert werden. Die Performanz und gute Skalierbarkeitdes Verfahrens konnte abschliessend auf einem grossensymmetrischen Multiprozessor unter Beweis gestellt werden. L. Kadinski (ed.) Shaker

Aachen

Berichte aus der Strömungsmechanik 7, Effiziente Algorithmen auf dünnen Gittern M.Griebel T.Schiekofer incollection MR1717212 1999 129 411--422 Birkhäuser, Basel Internat. Ser. Numer. Math. Hyperbolic problems: theory, numerics, applications, Vol. I (Zürich, 1998) MichaelGriebel GerhardZumbusch incollection MR1715606 1999 577--582 ACM, New York STOC '98 (Dallas, TX) DimaGrigoriev MarekKarpinski incollection MR2062140 1999 205--214 Hermes Sci. Publ., Paris Finite volumes for complex applications II GüntherGrün MartinRumpf incollection MR1718003 Parallel Comput. 1999 25 7 827--843 Parallelization techniques for numerical modelling https://doi.org/10.1016/S0167-8191(99)00020-4 10.1016/S0167-8191(99)00020-4 MichaelGriebel GerhardZumbusch incollection MR1784521 1999 1725 340--348 https://doi.org/10.1007/3-540-47849-3_21 Springer, Berlin Lecture Notes in Comput. Sci. SOFSEM'99: theory and practice of informatics (Milovy) 10.1007/3-540-47849-3_21 AndrisAmbainis RichardBonner R&#363si\cnsFreivalds MaratsGolovkins MarekKarpinski incollection MR1715626 1999 76--85 ACM, New York STOC '97 (El Paso, TX) DimaGrigoriev MarekKarpinski inproceedings Caglar.Griebel.Schweitzer.ea:1999 1999 The solution of many problems in science and engineering is based on computational kernels for the numerical treatment of partial differential equations (PDEs) or N-body problems. Traditional solution methods however reduce these to linear algebra or brute force algorithms on structured data sets. Larger and larger simulations require smarter algorithms to be tractable. Hierarchical tree algorithms represent such a class, both for PDEs and for N-body problems. However, their efficient parallelization is not straightforward. Some difficulties can be removed, if one can provide a fast dynamic load-balancing scheme to cope with the tree variations of the unstructured data sets. In this paper we propose a very cheap yet very efficient load-balancing scheme for tree algorithms based on space-filling curves. Furthermore we present the Parnass2 cluster, on which such parallel codes perform extremely well. The cluster consists of SMP PCs and a Myrinet network at Gigabit/s speed configured with full bisection bandwidth. It turns out that it does not only has the obvious price/performance advantage, but also an absolute performance, which is comparable to the latest commercial Cray T3E. SuParCup '99 Award Winning Paper, also as SFB 256 report 27 H. W. Meuer Mateo

Mannheim, Germany

ISBN 3-932178-08-4 Proceedings 14th Supercomputer Conference, Mannheim A.Caglar M.Griebel M.A. Schweitzer G.Zumbusch inproceedings Caglar.Griebel.Schweitzer.ea:1999 1999 The solution of many problems in science and engineering is based on computational kernels for the numerical treatment of partial differential equations (PDEs) or N-body problems. Traditional solution methods however reduce these to linear algebra or brute force algorithms on structured data sets. Larger and larger simulations require smarter algorithms to be tractable. Hierarchical tree algorithms represent such a class, both for PDEs and for N-body problems. However, their efficient parallelization is not straightforward. Some difficulties can be removed, if one can provide a fast dynamic load-balancing scheme to cope with the tree variations of the unstructured data sets. In this paper we propose a very cheap yet very efficient load-balancing scheme for tree algorithms based on space-filling curves. Furthermore we present the Parnass2 cluster, on which such parallel codes perform extremely well. The cluster consists of SMP PCs and a Myrinet network at Gigabit/s speed configured with full bisection bandwidth. It turns out that it does not only has the obvious price/performance advantage, but also an absolute performance, which is comparable to the latest commercial Cray T3E. SuParCup '99 Award Winning Paper, also as SFB 256 report 27 H. W. Meuer Mateo

Mannheim, Germany

ISBN 3-932178-08-4 Proceedings 14th Supercomputer Conference, Mannheim A.Caglar M.Griebel M.A. Schweitzer G.Zumbusch inproceedings Schweitzer.Zumbusch.Griebel:1999 1999 CSR-99-02 45--54 We report on a cluster with 96 CPUs (48 Dual-Processor PCs running Linux 2.1.127) at our department, called Parnass2. The computing nodes are connected by a Myrinet, a Gigabit per second switched LAN, and additionally by a Fast-Ethernet. A comparison of different message passing (MPI) libraries for the Myrinet is given. Furthermore, we present the performance results of Parnass2 for some of the parallel codes developed at our department, namely a sparse grid code for PDEs, a particle code for molecular dynamics, a finite difference code for the Navier-Stokes equation, and a parallel adaptive finite element / finite difference multi-grid code. We compare these results with the performance of these codes running on a Cray T3E-1200, a Cray T3E-600, a SGI Origin 200/2000 and Parnass \citeMGriebel:GWZumbusch:1997a, a cluster of SGI O2 workstations. W. Rehm and T. Ungerer

Chemnitz, Germany

Chemnitzer Informatik Berichte Proceedings of the 2nd Workshop Cluster-Computing, Karlsruhe TU Chemnitz M.A. Schweitzer G.W. Zumbusch M.Griebel inproceedings Schweitzer.Zumbusch.Griebel:1999 1999 CSR-99-02 45--54 We report on a cluster with 96 CPUs (48 Dual-Processor PCs running Linux 2.1.127) at our department, called Parnass2. The computing nodes are connected by a Myrinet, a Gigabit per second switched LAN, and additionally by a Fast-Ethernet. A comparison of different message passing (MPI) libraries for the Myrinet is given. Furthermore, we present the performance results of Parnass2 for some of the parallel codes developed at our department, namely a sparse grid code for PDEs, a particle code for molecular dynamics, a finite difference code for the Navier-Stokes equation, and a parallel adaptive finite element / finite difference multi-grid code. We compare these results with the performance of these codes running on a Cray T3E-1200, a Cray T3E-600, a SGI Origin 200/2000 and Parnass \citeMGriebel:GWZumbusch:1997a, a cluster of SGI O2 workstations. W. Rehm and T. Ungerer

Chemnitz, Germany

Chemnitzer Informatik Berichte Proceedings of the 2nd Workshop Cluster-Computing, Karlsruhe TU Chemnitz M.A. Schweitzer G.W. Zumbusch M.Griebel inproceedings MR1726115 Rep. Math. Phys. 1999 44 1-2 13--20 https://doi.org/10.1016/S0034-4877(99)80140-2 Proceedings of the XXX Symposium on Mathematical Physics (Toruń, 1998) 10.1016/S0034-4877(99)80140-2 S.Albeverio V. A.Geyler O. G.Kostrov inproceedings MR1726116 Rep. Math. Phys. 1999 44 1-2 21--28 https://doi.org/10.1016/S0034-4877(99)80141-4 Proceedings of the XXX Symposium on Mathematical Physics (Toruń, 1998) 10.1016/S0034-4877(99)80141-4 SergioAlbeverio HannoGottschalk Jiang-LunWu techreport Griebel.Knapek:1999 1999 568 SFB 256, Univ.~Bonn M.Griebel S.Knapek article MR1650985 Computing 1998 61 2 151--179 https://doi.org/10.1007/BF02684411 10.1007/BF02684411 M.Griebel article Griebel.Neunhoeffer.Regler:1998 Int. J. Numer. Meth. Fluids 1998 26 281-301 Also as SFB Bericht 342/1/96A, Institut für Informatik, TU München, 1996 M.Griebel T.Neunhoeffer H.Regler article MR1657752 Comput. Complexity 1998 7 3 193--203 https://doi.org/10.1007/s000370050010 10.1007/s000370050010 DimaGrigoriev MarekKarpinski Andrew C.Yao article MR1612624 SIAM J. Comput. 1998 27 3 694--701 https://doi.org/10.1137/S0097539793258313 10.1137/S0097539793258313 DimaGrigoriev MarekKarpinski article RN244 Acta Materialia 1998 46 1 169-175 <Go to ISI>://WOS:000071388100016 Journal Article 1359-6454 Doi 10.1016/S1359-6454(97)00211-5 G.Gioia M.Ortiz article MR1623706 Selecta Math. (N.S.) 1998 4 1 69--115 https://doi.org/10.1007/s000290050025 10.1007/s000290050025 LotharGöttsche DonZagier article MR1690497 Math. Phys. Anal. Geom. 1998 1 2 107--144 https://doi.org/10.1023/A:1009764607660 10.1023/A:1009764607660 AntonBovier VéroniqueGayrard article MR1669959 Numer. Algorithms 1998 18 3-4 209--232 https://doi.org/10.1023/A:1019129717644 10.1023/A:1019129717644 ThomasGerstner MichaelGriebel article MR1652080 Forum Math. 1998 10 6 687--697 https://doi.org/10.1515/form.10.6.687 10.1515/form.10.6.687 SergioAlbeverio HannoGottschalk Jiang-LunWu article MR1614809 SIAM J. Comput. 1998 27 1 230--246 https://doi.org/10.1137/S0097539794274519 10.1137/S0097539794274519 MikaelGoldmann MarekKarpinski book MR1486575 1998 xvi+217 A practical introduction, Translated from the German by Oliver Ernst https://doi.org/10.1137/1.9780898719703 Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA SIAM Monographs on Mathematical Modeling and Computation 0-89871-398-6 10.1137/1.9780898719703 MichaelGriebel ThomasDornseifer TilmanNeunhoeffer incollection MR1691507 1998 62 42--65 Friedr. Vieweg, Braunschweig Notes Numer. Fluid Mech. Large-scale scientific computations of engineering and environmental problems (Varna, 1997) MichaelGriebel incollection MR1705046 1998 327--334 World Sci. Publ., River Edge, NJ ENUMATH 97 (Heidelberg) M.Griebel T.Schiekofer incollection MR1645860 1998 218 271--278 https://doi.org/10.1090/conm/218/3018 Amer. Math. Soc., Providence, RI Contemp. Math. Domain decomposition methods, 10 (Boulder, CO, 1997) 10.1090/conm/218/3018 MichaelGriebel GerhardZumbusch incollection MR1601727 1998 41 3--89 Birkhäuser Boston, Boston, MA Progr. Probab. Mathematical aspects of spin glasses and neural networks AntonBovier VéroniqueGayrard incollection MR1668783 1998 66 339--364 https://doi.org/10.1007/978-3-663-10916-7_17 Friedr. Vieweg, Braunschweig Notes Numer. Fluid Mech. Numerical flow simulation, I (Marseille, 1997) 10.1007/978-3-663-10916-7_17 F.Koster M.Griebel N. K.-R.Kevlahan M.Farge K.Schneider incollection MR1601747 1998 41 187--241 Birkhäuser Boston, Boston, MA Progr. Probab. Mathematical aspects of spin glasses and neural networks A.Bovier V.Gayrard P.Picco inproceedings Griebel.Zumbusch:1998*1 1998 12 589--600 Partial differential equations can be solved efficientlyby adaptive multigrid methods on a parallel computer. Wereport on the concept of hash-table storage techniques toset up such a code. The code requires substantial lessamount of memory and is easier to code in the sequentialcase. The parallelization takes place by a space fillingcurve domain decomposition intimately connected to the hashtable. The new data structure simplifies the parallelversion of the code substantially way and introduces acheap way to solve the load balancing and mappingproblem. Proceedings of ParCo 97, Bonn, Germany E. D'Hollander and G.R. Joubert and F.J. Peters and U. Trottenberg Elsevier

Amsterdam, The Netherlands

Advances in Parallel Computing Parallel Computing: Fundamentals, Applications and New Directions M.Griebel G.W. Zumbusch techreport Koster.Griebel:1998 1998 No. 576 In this paper we generalize the constructions\citeChLi1, \citeCDV1 and \citeMoPe1 of wavelets onthe interval. These schemes give boundary modifications ofcompactly supported orthogonal wavelets Ï? â?? L₂(\bfR) with supp~Ï?=[-N+1,N], where N denotes thenumber of vanishing moments of Ï?. Our new schemeovercomes this restrictive condition. Furthermore, theconstructions \citeChLi1, \citeCDV1, \citeMoPe1involve Gram matrices for explicit orthogonalization steps.These Gram matrices tend to be very ill conditioned forincreasing N. It is shown that for the present scheme thecondition numbers of the resulting matrices are smaller byorders of magnitude. Therefore our scheme is numericallymore stable. We also point out how wavelets can be obtainedsatisfying homogeneous Dirichlet or Neumann conditions. Inaddition, we deal with the requirement of the discretewavelet transform on the interval to find, e.g. from nodalvalues of u â?? L₂([0,1]), an approximation \tildeuby a linear combination of dilated scaling functions. Wepresent and compare two methods. One method has alreadybeen used in \citeChLi1 and \citeMoPe1. Our experimentsshow that this scheme is not suited for data compression onthe interval. The other method however is designed for datacompression applications and leads to cheap and very wellconditioned approximation mapping SFB 256, Universität Bonn, Germany F.Koster M.Griebel article MR1468172 Markov Process. Related Fields 1997 3 2 151--173 A.Bovier V.Gayrard article MR1484092 Markov Process. Related Fields 1997 3 3 275--322 S.Albeverio R.Gielerak F.Russo article RN256 Advances in Applied Mechanics, Vol 33 1997 33 119-192 <Go to ISI>://WOS:A1997BH79H00003 Journal Article 0065-2156 Doi 10.1016/S0065-2156(08)70386-7 G.Gioia M.Ortiz article RN276 Advances in Applied Mechanics, Vol 33 1997 33 119-192 <Go to ISI>://WOS:A1997BH79H00003 Journal Article 0065-2156 Doi 10.1016/S0065-2156(08)70386-7 G.Gioia M.Ortiz article MR1462768 Comm. Math. Phys. 1997 186 2 323--379 https://doi.org/10.1007/s002200050112 10.1007/s002200050112 AntonBovier VéroniqueGayrard PierrePicco article MR1424824 Discrete Comput. Geom. 1997 17 2 191--215 https://doi.org/10.1007/BF02770873 10.1007/BF02770873 D.Grigoriev M.Karpinski N.Vorobjov article MR1462508 Comm. Math. Phys. 1997 184 3 509--531 https://doi.org/10.1007/s002200050071 10.1007/s002200050071 S.Albeverio H.Gottschalk J.-L.Wu article MR1474391 J. Comput. Appl. Math. 1997 83 2 165--183 https://doi.org/10.1016/S0377-0427(97)00095-2 10.1016/S0377-0427(97)00095-2 MichaelGriebel GerhardStarke article MR1461242 Phys. Lett. B 1997 405 3-4 243--248 https://doi.org/10.1016/S0370-2693(97)00574-1 10.1016/S0370-2693(97)00574-1 SergioAlbeverio HannoGottschalk Jiang-LunWu article MR1427717 Probab. Theory Related Fields 1997 107 1 61--98 https://doi.org/10.1007/s004400050077 10.1007/s004400050077 AntonBovier VéroniqueGayrard incollection MR1487426 1997 59 187--202 https://doi.org/10.1007/978-3-322-89565-3_17 Friedr. Vieweg, Braunschweig Notes Numer. Fluid Mech. Modeling and computation in environmental sciences (Stuttgart, 1995) 10.1007/978-3-322-89565-3_17 M.Griebel S.Knapek incollection MR1438081 Appl. Numer. Math. 1997 23 1 63--95 Multilevel methods (Oberwolfach, 1995) https://doi.org/10.1016/S0168-9274(96)00062-1 10.1016/S0168-9274(96)00062-1 T.Grauschopf M.Griebel H.Regler incollection MR1636829 1997 23 77--90 Birkhäuser Boston, Boston, MA Progr. Systems Control Theory Stochastic differential and difference equations (Győr, 1996) SergioAlbeverio RomanGielerak FrancescoRusso incollection MR1607123 Markov Process. Related Fields 1997 3 4 393--422 Statistical mechanics of large networks (Rocquencourt, 1996) A.Bovier V.Gayrard inproceedings Dauelsberg.Durst.Kadinski.ea:1997 1997 also as Berichte aus der Strömungsmechnaik, Shaker Verlag, Aachen, 1999.

München

Proceedings der BMWF-Tagung HPSC97 M.Dauelsberg F.Durst L.Kadinski Y.Makarov G.Strauch H.Jürgensen T.Schiekofer M.Griebel A.Bode P.Luksch M.May inproceedings Griebel.Zumbusch:1997 1997 CSR-97-05 101--124 We will report on a cluster of workstations at ourdepartment, called Parnass. It is based on different typesof MIPS processor workstations and servers, connected by aMyrinet, a Gigabit per second switched LAN, andadditionally a Fast Ethernet. We have ported some low levelmessage passing libraries as well as MPI to the Myrinet. Acomparison of the performance of various communicationlibraries on different networks will be presented. also as Techn. Report No 19, SFB 256, Univ. Bonn W. Rehm

Chemnitz, Germany

Chemnitzer Informatik Berichte Proceedings of the 1st Workshop Cluster-Computing TU Chemnitz M.Griebel G.W. Zumbusch inproceedings MR1611686 Rep. Math. Phys. 1997 40 3 385--394 https://doi.org/10.1016/S0034-4877(97)85890-9 Proceedings of the XXIX Symposium on Mathematical Physics (Toruń, 1996) 10.1016/S0034-4877(97)85890-9 S.Albeverio H.Gottschalk J.-L.Wu article MR1613619 Comput. Complexity 1996 6 4 357--375 https://doi.org/10.1007/BF01270387 10.1007/BF01270387 DimaGrigoriev MarekKarpinski FriedhelmMeyer auf der Heide RomanSmolensky article MR1411501 Ann. Probab. 1996 24 3 1444--1475 https://doi.org/10.1214/aop/1065725188 10.1214/aop/1065725188 AntonBovier VéroniqueGayrard article MR1412357 Rev. Math. Phys. 1996 8 6 763--817 https://doi.org/10.1142/S0129055X96000287 10.1142/S0129055X96000287 SergioAlbeverio HannoGottschalk Jiang-LunWu article MR1395935 Internat. J. Math. 1996 7 3 359--372 https://doi.org/10.1142/S0129167X96000219 10.1142/S0129167X96000219 L.Göttsche D.Huybrechts article MR1613623 Comput. Complexity 1996 6 4 376--388 https://doi.org/10.1007/BF01270388 10.1007/BF01270388 DimaGrigoriev MarekKarpinski RomanSmolensky article MR1387512 J. Funct. Anal. 1996 137 2 281--302 https://doi.org/10.1006/jfan.1996.0047 10.1006/jfan.1996.0047 S.Albeverio D.Guido A.Ponosov S.Scarlatti article MR1372647 J. Mech. Phys. Solids 1996 44 2 251--292 https://doi.org/10.1016/0022-5096(95)00071-2 10.1016/0022-5096(95)00071-2 G.Gioia M.Ortiz article RN282 Journal of the Mechanics and Physics of Solids 1996 44 2 251-292 <Go to ISI>://WOS:A1996TT64200006 Journal Article 0022-5096 Doi 10.1016/0022-5096(95)00071-2 G.Gioia M.Ortiz book Bungartz.Griebel.Zenger:1996 1996 Dieses Buch gibt eine umfassende Einführung in dieverschiedenen Aspekte der Computergraphik. Neben derDiskussion grundlegender Fragestellungen(Koordinatensysteme, Rasterung, Farbmodelle) werden dabeisowohl die geometrische Modellierung dreidimensionalerObjekte als auch deren graphische Darstellung beschrieben.Weiterhin wird die Rolle der Computergraphik in modernenAnwendungen wie Animation, Visualisierung oder VirtualReality beleuchtet. Der Leser erhält so einen Ã?berblicküber die einzelnen Arbeitsschritte und Techniken von derrealen Szene bis zum Bild durch zahlreiche, z.T. farbigeIllustrationen. Vieweg

Braunschweig

H.-J.Bungartz M.Griebel C.Zenger book MR1438306 1996 xviii+372 Translated from the 1988 Russian original https://doi.org/10.1007/978-3-662-03220-6 Springer-Verlag, Berlin 3-540-54746-0 10.1007/978-3-662-03220-6 Sergei I.Gelfand Yuri I.Manin incollection MR1430844 Math. Comput. Simulation 1996 42 4-6 595--605 Symbolic computation, new trends and developments (Lille, 1993) https://doi.org/10.1016/S0378-4754(96)00036-5 10.1016/S0378-4754(96)00036-5 H.Bungartz M.Griebel D.Röschke C.Zenger incollection MR1383400 Theoret. Comput. Sci. 1996 157 1 91--99 Algorithmic complexity of algebraic and geometric models (Creteil, 1994) https://doi.org/10.1016/0304-3975(95)00177-8 10.1016/0304-3975(95)00177-8 DimaGrigoriev MarekKarpinski incollection Karp:GKPR96 1996 1097 392--403 Springer

Berlin

Lecture Notes in Comput. Sci. SWAT 10.1007/3-540-61422-2_148 LeszekGasieniec MarekKarpinski WojciechPlandowski WojciechRytter incollection MR1453123 1996 20--37 World Sci. Publ., River Edge, NJ Stochastic analysis and applications (Powys, 1995) S.Albeverio H.Gottschalk J.-L.Wu incollection Griebel.Huber.Zenger:1996 1996 52 34--47 E. H. Hirschel Vieweg

Wiesbaden

Notes Numer. Fluid Mech. Flow Simulation with High-performance Computers, DFG-SPP M.Griebel W.Huber C.Zenger incollection MR1436872 1996 1075 39--49 https://doi.org/10.1007/3-540-61258-0_3 Springer, Berlin Lecture Notes in Comput. Sci. Combinatorial pattern matching (Laguna Beach, CA, 1996) 10.1007/3-540-61258-0_3 LeszekG\casieniec MarekKarpinski WojciechPlandowski WojciechRytter incollection MR1460300 Fund. Inform. 1996 28 3-4 297--301 To the memory of Prof. Helena Rasiowa DimaGrigoriev MarekKarpinski Andrew M.Odlyzko inproceedings MR1427560 1996 612--619 https://doi.org/10.1145/237814.238011 ACM, New York Proceedings of the Twenty-eighth Annual ACM Symposium on the Theory of Computing (Philadelphia, PA, 1996) 10.1145/237814.238011 DimaGrigoriev MarekKarpinski FriedhelmMeyer auf der Heide RomanSmolensky inproceedings MR1393735 J. Comput. Appl. Math. 1996 66 1-2 267--278 https://doi.org/10.1016/0377-0427(95)00195-6 Proceedings of the Sixth International Congress on Computational and Applied Mathematics (Leuven, 1994) 10.1016/0377-0427(95)00195-6 MichaelGriebel TilmanNeunhoeffer inproceedings Rosch.Kruger.Griebel.ea:1996 1996 Proceedings der BMWF-Tagung HPSC95, Aachen N.Rösch S.Krüger M.Griebel C.Zenger article MR1325589 J. Statist. Phys. 1995 79 1-2 395--414 https://doi.org/10.1007/BF02179395 10.1007/BF02179395 AntonBovier VéroniqueGayrard PierrePicco article MR1327224 Probab. Theory Related Fields 1995 101 4 511--546 https://doi.org/10.1007/BF01202783 10.1007/BF01202783 AntonBovier VéroniqueGayrard PierrePicco article MR1324736 Numer. Math. 1995 70 2 163--180 https://doi.org/10.1007/s002110050115 10.1007/s002110050115 M.Griebel P.Oswald article MR1346296 SIAM J. Sci. Comput. 1995 16 5 1105--1125 https://doi.org/10.1137/0916064 10.1137/0916064 MichaelGriebel article MR1338078 J. Phys. A 1995 28 8 2313--2324 http://stacks.iop.org/0305-4470/28/2313 AntonBovier Jean-MichelGhez article MR1338900 Adv. Comput. Math. 1995 4 1-2 171--206 https://doi.org/10.1007/BF02123478 10.1007/BF02123478 M.Griebel P.Oswald article MR1319267 Internat. J. Numer. Methods Heat Fluid Flow 1995 5 3 251--269 https://doi.org/10.1108/EUM0000000004119 10.1108/EUM0000000004119 MichaelGriebel VeronikaThurner book Griebel.Dornseifer.Neunhoeffer:1995 1995 Dieses Buch gibt am Beispiel der Strömungsmechanik eineEinführung in die numerische Simulation und beleuchtetauf einfache Weise deren vielfältige Aspekte von derModellbildung über Diskretisierung, Algorithmen undschnelle Löser, Parallelisierung bis hin zurVisualisierung. Neben der Beschreibung der einzelnenSchritte bei der numerischen Simulation werden auchdetaillierte Hinweise zur Umsetzung in ein Computerprogrammgegeben. In zahlreichen, teils farbigen Abbildungen werdenSimulationsergebnisse präsentiert, die den Leser dazuanimieren, ein Simulationsprogramm zu erstellen und esfür eigene Berechnungen zu nutzen. Vieweg

Braunschweig

M.Griebel T.Dornseifer T.Neunhoeffer incollection MR1619089 1995 258--265 https://doi.org/10.1109/SFCS.1995.492481 IEEE Comput. Soc. Press, Los Alamitos, CA 36th Annual Symposium on Foundations of Computer Science (Milwaukee, WI, 1995) 10.1109/SFCS.1995.492481 DimaGrigoriev MarekKarpinski NicolaiVorobjov incollection MR1344693 1995 314 3--19 Kluwer Acad. Publ., Dordrecht Math. Appl. Advances in analysis, probability and mathematical physics (Blaubeuren, 1992) S.Albeverio D.Guido A.Ponosov S.Scarlatti inproceedings Griebel.Huber:1995*1 1995 75--84 N. Satofuka and J. Periaux and A. Ecer North-Holland, Elsevier Parallel Computational Fluid Dynamics, New Algorithms and Applications M.Griebel W.Huber techreport Griebel.Huber:1995*2 1995 Contribution Sup'Prize 1995, Sup'Eur User Group Organization M.Griebel W.Huber techreport Griebel.Kreil.Rykaschewski.ea:1995 1995 DFG-SPP M.Griebel R.Krei�l M.Rykaschewski C.Zenger article MR1253189 Invent. Math. 1994 116 1-3 75--93 https://doi.org/10.1007/BF01231557 10.1007/BF01231557 DonBlasius JensFranke FritzGrunewald article MR1258990 SIAM J. Comput. 1994 23 1 1--11 https://doi.org/10.1137/S0097539791194069 10.1137/S0097539791194069 DimaGrigoriev MarekKarpinski Michael F.Singer article GKZMPL1994 Annals of Human Biology 1994 21 275-286 T.Gasser A.Kneip P.Ziegler L.Molinari A.Prader R.Largo article MR1309558 Comm. Math. Phys. 1994 166 2 431--432 http://projecteuclid.org/euclid.cmp/1104271618 AntonBovier Jean-MichelGhez article MR1305586 Probab. Theory Related Fields 1994 100 3 329--363 https://doi.org/10.1007/BF01193704 10.1007/BF01193704 AntonBovier VéroniqueGayrard PierrePicco article MR1254398 Numer. Math. 1994 66 4 449--463 https://doi.org/10.1007/BF01385707 10.1007/BF01385707 M.Griebel P.Oswald article MR1274550 East-West J. Numer. Math. 1994 2 1 21--45 H.-J.Bungartz M.Griebel D.Röschke C.Zenger article MR1264947 J. Mech. Phys. Solids 1994 42 3 531--559 https://doi.org/10.1016/0022-5096(94)90030-2 10.1016/0022-5096(94)90030-2 MichaelOrtiz GustavoGioia article RN287 Journal of the Mechanics and Physics of Solids 1994 42 3 531-559 <Go to ISI>://WOS:A1994NB44100007 Journal Article 0022-5096 Doi 10.1016/0022-5096(94)90030-2 M.Ortiz G.Gioia article MR1253192 Invent. Math. 1994 116 1-3 139--213 https://doi.org/10.1007/BF01231560 10.1007/BF01231560 M.Goresky G.Harder R.MacPherson book MR1312162 1994 viii+175 https://doi.org/10.1007/978-3-322-89224-9 B. G. Teubner, Stuttgart Teubner Skripten zur Numerik. [Teubner Scripts on Numerical Mathematics] 3-519-02718-6 10.1007/978-3-322-89224-9 MichaelGriebel incollection MR1262625 1994 157 255--261 https://doi.org/10.1090/conm/157/01425 Amer. Math. Soc., Providence, RI Contemp. Math. Domain decomposition methods in science and engineering (Como, 1992) 10.1090/conm/157/01425 MichaelGriebel incollection MR1323639 1994 872 100--105 https://doi.org/10.1007/3-540-58520-6_57 Springer, Berlin Lecture Notes in Comput. Sci. Algorithmic learning theory (Reinhardsbrunn Castle, 1994) 10.1007/3-540-58520-6_57 R&#363si\cnsFreivalds DaceGobleja MarekKarpinski Carl H.Smith incollection MR1312394 1994 180 223--229 https://doi.org/10.1090/conm/180/01974 Amer. Math. Soc., Providence, RI Contemp. Math. Domain decomposition methods in scientific and engineering computing (University Park, PA, 1993) 10.1090/conm/180/01974 M.Griebel incollection MR1286533 Comput. Methods Appl. Mech. Engrg. 1994 116 1-4 243--252 ICOSAHOM'92 (Montpellier, 1992) https://doi.org/10.1016/S0045-7825(94)80029-4 10.1016/S0045-7825(94)80029-4 H.Bungartz M.Griebel U.Rüde incollection MR1309680 1994 38 1--222 Springer, Berlin Encyclopaedia Math. Sci. Algebra, V S. I.Gelfand Yu. I.Manin incollection MR1273151 SIAM J. Sci. Comput. 1994 15 3 547--565 Iterative methods in numerical linear algebra (Copper Mountain Resort, CO, 1992) https://doi.org/10.1137/0915036 10.1137/0915036 MichaelGriebel incollection MR1301130 1994 116 215--232 Birkhäuser, Basel Internat. Ser. Numer. Math. Multigrid methods, IV (Amsterdam, 1993) MichaelGriebel incollection Grauschopf.Griebel:1994 1994 63--69 M. Brehm, C. Schaller Leibniz-Rechenzentrum der Bayerischen Akademie derWissenschaften, München LRZ Bericht 9401 Overview of Research on the Parallel Computer SNI-KSR atthe Leibnitz-Rechenzentrum München T.Grauschopf M.Griebel incollection MR1288338 Resenhas 1994 1 2-3 161--172 Fifth Latin American Congress of Probability and Mathematical Statistics (Portuguese) (São Paulo, 1993) AntonBovier VéroniqueGayrard incollection MR1312373 1994 180 15--20 https://doi.org/10.1090/conm/180/01952 Amer. Math. Soc., Providence, RI Contemp. Math. 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Differential equations with applications to mathematical physics 10.1016/S0076-5392(08)62368-1 JeanBellissard AntonBovier Jean-MichelGhez incollection MR1239217 1993 67--79 Teubner, Stuttgart Teubner Skr. Numer. Numerische Algorithmen auf Transputer-Systemen (Heidelberg, 1991) MichaelGriebel incollection MR1232470 1993 41 32--46 https://doi.org/10.1007/978-3-322-85732-3_4 Friedr. Vieweg, Braunschweig Notes Numer. Fluid Mech. Incomplete decomposition ({ILU})---algorithms, theory and applications (Kiel, 1992) 10.1007/978-3-322-85732-3_4 MichaelGriebel incollection MR1267959 1993 396 55--66 Kluwer Acad. Publ., Dordrecht NATO Adv. Sci. Inst. Ser. C Math. Phys. Sci. Cellular automata and cooperative systems (Les Houches, 1992) AntonBovier VéroniqueGayrard incollection MR1340428 1993 1--11 World Sci. Publ., River Edge, NJ Bielefeld Encount. Math. Phys., VIII Dynamics of complex and irregular systems (Bielefeld, 1991) S.Albeverio D.Guido A.Ponosov S.Scarlatti incollection MR1267960 1993 396 67--83 Kluwer Acad. Publ., Dordrecht NATO Adv. Sci. Inst. Ser. C Math. Phys. Sci. Cellular automata and cooperative systems (Les Houches, 1992) AntonBovier Jean-MichelGhez incollection Griebel:1993*3 1993 161--174 J. Häser Elsevier

New Brunswick

Parallel Computational Fluid Dynamics 92 M.Griebel incollection MR1340448 1993 277--288 World Sci. Publ., River Edge, NJ Bielefeld Encount. Math. Phys., VIII Dynamics of complex and irregular systems (Bielefeld, 1991) AntonBovier VéroniqueGayrard inproceedings Griebel.Zimmer:1993 1993 46 142--157 Hackbusch, W. and Wittum, G. Vieweg Verlag, Braunschweig Adaptive Methods: Algorithms, Theory and Applications, Notes on Numerical Fluid Mechanics M.Griebel S.Zimmer inproceedings Griebel.Huber.Stortkuhl.ea:1993 1993 276--291 A. Bode and M. Dal Cin Springer Verlag Lecture Notes in Computer Science 732, Parallel Computer Architectures: Theory, Hardware, Software, Applications M.Griebel W.Huber T.Störtkuhl C.Zenger inproceedings Griebel:1993*1 1993 161--174 J. Häuser New Brunswick, USA, Elsevier Parallel Computational Fluid Dynamics 92 M.Griebel techreport Griebel.Oswald:1993 1993 Institut für Informatik, TU München SFB report 342/6/93A M.Griebel P.Oswald techreport Gartel.Griebel.Huber.ea:1993 1993 Arbeitpapiere der GMD 767 GMD St. Augustin U.Gärtel M.Griebel W.Huber H.Schwichtenberg T.Störtkuhl U.Trottenberg G.Winter C.Zenger article MR1209478 Biometrika 1992 79 4 783--795 https://doi.org/10.1093/biomet/79.4.783 10.1093/biomet/79.4.783 EvaHerrmann TheoGasser AloisKneip article MR1160136 Rev. Math. Phys. 1992 4 1 1--37 https://doi.org/10.1142/S0129055X92000029 10.1142/S0129055X92000029 JeanBellissard AntonBovier Jean-MichelGhez article MR1193852 J. Statist. Phys. 1992 69 3-4 597--627 https://doi.org/10.1007/BF01050427 10.1007/BF01050427 AntonBovier VéroniqueGayrard article MR1186250 Ann. Statist. 1992 20 3 1266--1305 https://doi.org/10.1214/aos/1176348769 10.1214/aos/1176348769 AloisKneip TheoGasser article Griebel:1992*2 Parallel Processing Letters 1992 2 1 61--70 also as SFB Bericht 342/14/91 A, Institut für Informatik, TU München, 1991 M.Griebel book MR1175627 1992 x+311 Papers from the seminar held at the Max-Planck-Institut für Mathematik, Bonn/Wuppertal, 1983/1984, With an appendix by Wüstholz https://doi.org/10.1007/978-3-322-80340-5 Friedr. Vieweg & Sohn, Braunschweig Aspects of Mathematics, E6 Third 3-528-28593-1 10.1007/978-3-322-80340-5 GerdFaltings GisbertWüstholz FritzGrunewald NorbertSchappacher UlrichStuhler incollection MR1159736 1992 263--281 North-Holland, Amsterdam Iterative methods in linear algebra (Brussels, 1991) MichaelGriebel MichaelSchneider ChristophZenger incollection MR1190539 1992 447--460 Cambridge Univ. Press, Cambridge Ideas and methods in quantum and statistical physics (Oslo, 1988) SergioAlbeverio PhilippeBlanchard DanielGandolfo RaphaelHø egh-Krohn MohamedMebkhout incollection Griebel.Huber.Rude.ea:1992 1992 217--228 Bouge, L. and Cosnard, M. and Robert, Y. and Trystram, D. Springer

Berlin

Lecture Notes in Computer Science 634 Parallel Processing: CONPAR92-VAPP V M.Griebel W.Huber U.Rüde T.Störtkuhl incollection MR1167841 1992 7 215--236 https://doi.org/10.1007/978-1-4612-0393-3_16 Birkhäuser Boston, Boston, MA Progr. Nonlinear Differential Equations Appl. Nonlinear diffusion equations and their equilibrium states, 3 (Gregynog, 1989) 10.1007/978-1-4612-0393-3_16 V. A.Galaktionov M. A.Herrero J. J. L.Velázquez inproceedings Griebel:1992*1 1992 also as SFB Bericht, 342/29/91 A, Institut für Informatik, TU München, 1991 Manteuffel, T. University of Colorado at Denver Proceedings of the 2nd Copper Mountain Conference on Iterative Methods M.Griebel techreport Griebel.Zenger.Zimmer:1992 1992 Technische Universität München SFB-Report 342/15/92 A M.Griebel C.Zenger S.Zimmer article MR1147088 J. Amer. Statist. Assoc. 1991 86 415 643--652 http://links.jstor.org/sici?sici=0162-1459(199109)86:415<643:AFAFMF>2.0.CO;2-9&origin=MSN TheoGasser AloisKneip WalterKöhler article MR1118118 Theoret. Comput. Sci. 1991 84 2, Algorithms Automat. Complexity Games 151--164 https://doi.org/10.1016/0304-3975(91)90157-W 10.1016/0304-3975(91)90157-W MichaelClausen AndreasDress JohannesGrabmeier MarekKarpinski article MR1087389 Comm. Math. Phys. 1991 135 2 379--399 http://projecteuclid.org/euclid.cmp/1104202031 JeanBellissard AntonBovier Jean-MichelGhez article GKZLP1991 Annals of Human Biology 1991 18 449-461 T.Gasser A.Kneip P.Ziegler R.Largo A.Prader article GKBPM1991 Annals of Human Biology 1991 18 187-205 T.Gasser A.Kneip A.Binding A.Prader L.Molinari article MR1091824 Adv. in Appl. Math. 1991 12 1 76--81 https://doi.org/10.1016/0196-8858(91)90005-4 10.1016/0196-8858(91)90005-4 Dima Yu.Grigoriev MarekKarpinski Michael F.Singer article MR1107061 Zh. Vychisl. Mat. i Mat. Fiz. 1991 31 3 399--411 J. J. L.Velázquez V. A.Galaktionov M. A.Herrero book Griebel.Reithmeir:1991 1991 33 2., überarbeitete Auflage. Hayit Verlag, Köln Preiswert reisen MichaelGriebel ClaudiaReithmeir book MR1225369 1991 568 Translated from the 1988 English original by V. A. Geĭler, Yu. A. Kuperin and K. A. Makarov, With an introduction by B. S. Pavlov and an appendix by Makarov â??Mirâ??, Moscow 5-03-001905-7 S.Albeverio F.Gestezi R.Khëèg-Kron Kh.Khol den incollection MR1167870 1991 31 94--100 Friedr. Vieweg, Braunschweig Notes Numer. Fluid Mech. Parallel algorithms for partial differential equations (Kiel, 1990) M.Griebel incollection MR1177214 1991 662--669 https://doi.org/10.1109/SFCS.1991.185433 IEEE Comput. Soc. Press, Los Alamitos, CA 32nd Annual Symposium on Foundations of Computer Science (San Juan, PR, 1991) 10.1109/SFCS.1991.185433 DimaGrigoriev MarekKarpinski incollection MR1154322 1991 335 99--110 https://doi.org/10.1007/978-94-011-3222-0_7 Kluwer Acad. Publ., Dordrecht NATO Adv. Sci. Inst. Ser. C Math. Phys. Sci. Nonparametric functional estimation and related topics (Spetses, 1990) 10.1007/978-94-011-3222-0_7 TheoGasser AloisKneip incollection MR1131558 1991 98 211--221 Birkhäuser, Basel Internat. Ser. Numer. Math. Multigrid methods, III (Bonn, 1990) MichaelGriebel inproceedings Karp:GK91 1991 7--13 ACM

New York

ISSAC 10.1145/120694.120696 DimaGrigoriev MarekKarpinski article RN309 International Journal of Fracture 1990 44 4 233-258 <Go to ISI>://WOS:A1990DY89000001 Journal Article 0376-9429 M.Ortiz A. E.Giannakopoulos article MR1069099 SIAM J. Comput. 1990 19 6 1059--1063 https://doi.org/10.1137/0219073 10.1137/0219073 Dima Yu.Grigoriev MarekKarpinski Michael F.Singer article RN313 International Journal of Solids and Structures 1990 26 7 705-723 <Go to ISI>://WOS:A1990CZ49400002 Journal Article 0020-7683 Doi 10.1016/0020-7683(90)90002-D M.Ortiz A. E.Giannakopoulos article MR1084053 C. R. Acad. Sci. Paris Sér. I Math. 1990 311 13 911--916 GiuseppeGeymonat StefanMüller NicolasTriantafyllidis incollection MR1150733 1990 840--846 IEEE Comput. Soc. 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