LEADER 05906nam 22007335 450 001 9910299737403321 005 20220413213242.0 010 $a94-017-9054-X 024 7 $a10.1007/978-94-017-9054-3 035 $a(CKB)3710000000134678 035 $a(EBL)1783785 035 $a(SSID)ssj0001274422 035 $a(PQKBManifestationID)11707279 035 $a(PQKBTitleCode)TC0001274422 035 $a(PQKBWorkID)11324829 035 $a(PQKB)11323766 035 $a(MiAaPQ)EBC1783785 035 $a(DE-He213)978-94-017-9054-3 035 $a(PPN)179767208 035 $a(EXLCZ)993710000000134678 100 $a20140618d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aModeling, simulation and optimization for science and technology$b[electronic resource] /$fedited by William Fitzgibbon, Yuri A. Kuznetsov, Pekka Neittaanmäki, Olivier Pironneau 205 $a1st ed. 2014. 210 1$aDordrecht :$cSpringer Netherlands :$cImprint: Springer,$d2014. 215 $a1 online resource (252 p.) 225 1 $aComputational Methods in Applied Sciences,$x1871-3033 ;$v34 300 $aDescription based upon print version of record. 311 $a1-322-17538-1 311 $a94-017-9053-1 320 $aIncludes bibliographical references at the end of each chapters. 327 $aForeword -- 1. A Unified Approach to Measuring Accuracy of Error Indicators, by Immanuel Anjam, Olli Mali, Pekka Neittaanmäki and Sergey Repin -- 2. On the Numerical Solution of the Dirichlet Problem for the Elliptic (s2) Equation, by Alexandre Caboussat -- 3. Multiple-Gradient Descent Algorithm (MGDA) for Pareto-Front Identification, by Jean-Antoine Désidéri -- 4. On Alternating Direction Methods of Multipliers: A Historical Perspective, by Roland Glowinski -- 5. Numerical Analysis and Simulation of the Dynamics of Mountain Glaciers, by Guillaume Jouvet and Jacques Rappaz -- 6. Fast Nash Hybridized Evolutionary Algorithms for Single and Multi-Objective Design Optimization in Engineering, by Dong Seop Lee, Jacques Periaux and Sung Wook Lee -- 7. An Augmented Lagrangian Method for the Microstructure of a Liquid Crystal Model, by Ping Lin and Xue-Cheng Tai -- 8. On an Extension of the First Korn Inequality to Incompatible Tensor Fields on Domains of Arbitrary Dimensions, by Patrizio Neff, Dirk Pauly and Karl-Josef Witsch -- 9. A Guide for the Selecting of a Numerical Methodology Adapted to the Analysis of Extreme Events, by Pierre C. Perrier -- 10. Optimization Under Uncertainty Using the Generalized Inverse Distribution Function, by Domenico Quagliarella, Giovanni Petrone and Gianluca Iaccarino -- 11. Automating the Parameter Selection in VRP: an Off-line Parameter Tuning Tool Comparison, by Jussi Rasku, Nysret Musliu, and Tommi Kärkkäinen -- 12. Comparison of Local Computational Approaches for Unsteady Viscous Incompressible Flows, by Nobuyuki Satofuka, Koji Morinishi, Itaru Tanno, Tomohisa Hashimoto, Takahiro Yasuda, and Yoshihiro Tanaka -- 13. Parameter Rating by Diffusion Gradient, by Guy Wolf, Amir Averbuch and Pekka Neittaanmäki. 330 $aThis volume contains thirteen articles on advances in applied mathematics and computing methods for engineering problems. Six papers are on optimization methods and algorithms with emphasis on problems with multiple criteria; four articles are on numerical methods for applied problems modeled with nonlinear PDEs; two contributions are on abstract estimates for error analysis; finally one paper deals with rare events in the context of uncertainty quantification. Applications include aerospace, glaciology and nonlinear elasticity. Herein is a selection of contributions from speakers at two conferences on applied mathematics held in June 2012 at the University of Jyväskylä, Finland. The first conference, ?Optimization and PDEs with Industrial Applications? celebrated the seventieth birthday of Professor Jacques Périaux of the University of Jyväskylä and Polytechnic University of Catalonia (Barcelona Tech), and the second conference, ?Optimization and PDEs with Applications? celebrated the seventy-fifth birthday of Professor Roland Glowinski of the University of Houston. This work should be of interest to researchers and practitioners as well as advanced students or engineers in computational and applied mathematics or mechanics. 410 0$aComputational Methods in Applied Sciences,$x1871-3033 ;$v34 606 $aMechanics 606 $aMechanics, Applied 606 $aComputer mathematics 606 $aComputer science?Mathematics 606 $aTheoretical and Applied Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15001 606 $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026 606 $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001 615 0$aMechanics. 615 0$aMechanics, Applied. 615 0$aComputer mathematics. 615 0$aComputer science?Mathematics. 615 14$aTheoretical and Applied Mechanics. 615 24$aComputational Science and Engineering. 615 24$aMathematics of Computing. 676 $a519.3 702 $aFitzgibbon$b William$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKuznetsov$b Yuri A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aNeittaanmäki$b Pekka$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPironneau$b Olivier$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299737403321 996 $aModeling, Simulation and Optimization for Science and Technology$92199697 997 $aUNINA