Domain Decomposition Methods in Science and Engineering XXI, Jocelyne Erhel; Martin J. Gander; Laurence Halpern

Автор: Chang-Ock Lee; Xiao-Chuan Cai; David E. Keyes; Hye
Название: Domain Decomposition Methods in Science and Engineering XXIII
ISBN: 3319523880 ISBN-13(EAN): 9783319523880
Издательство: Springer
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Описание: This book is a collection of papers presented at the 23rd International Conference on Domain Decomposition Methods in Science and Engineering, held on Jeju Island, Korea on July 6-10, 2015.

Автор: Thomas Dickopf; Martin J. Gander; Laurence Halpern
Название: Domain Decomposition Methods in Science and Engineering XXII
ISBN: 3319188267 ISBN-13(EAN): 9783319188263
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Описание: These are the proceedings of the 22nd International Conference on Domain Decomposition Methods, which was held in Lugano, Switzerland.

Автор: Jocelyne Erhel; Martin J. Gander; Laurence Halpern
Название: Domain Decomposition Methods in Science and Engineering XXI
ISBN: 331905788X ISBN-13(EAN): 9783319057880
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Описание: This volume contains a selection of papers presented at the 21st international conference on domain decomposition methods in science and engineering held in Rennes, France, June 25-29, 2012.

Автор: Michel Bercovier; Martin Gander; Ralf Kornhuber; O
Название: Domain Decomposition Methods in Science and Engineering XVIII
ISBN: 364226025X ISBN-13(EAN): 9783642260254
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Описание: th This volume contains a selection of 41 refereed papers presented at the 18 International Conference of Domain Decomposition Methods hosted by the School of ComputerScience and Engineering(CSE) of the Hebrew Universityof Jerusalem, Israel, January 12-17, 2008.

Автор: Yunqing Huang; Ralf Kornhuber; Olof Widlund; Jinch
Название: Domain Decomposition Methods in Science and Engineering XIX
ISBN: 3642265693 ISBN-13(EAN): 9783642265693
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Описание: These are the proceedings of the 19th international conference on domain decomposition methods in science and engineering.

Автор: Bank Randolph
Название: Domain Decomposition Methods in Science and Engineering XX
ISBN: 364235274X ISBN-13(EAN): 9783642352744
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Описание: Domain decomposition methods are iterative methods for solving the often very large linearor nonlinear systems of algebraic equations that arise when various problems in continuum mechanics are discretized using finite elements.

Автор: Michel Bercovier; Martin Gander; Ralf Kornhuber; O
Название: Domain Decomposition Methods in Science and Engineering XVIII
ISBN: 3642026761 ISBN-13(EAN): 9783642026768
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Описание: th This volume contains a selection of 41 refereed papers presented at the 18 International Conference of Domain Decomposition Methods hosted by the School of ComputerScience and Engineering(CSE) of the Hebrew Universityof Jerusalem, Israel, January 12-17, 2008.

Автор: Ralf Kornhuber; Ronald W. Hoppe; Jacques Periaux;
Название: Domain Decomposition Methods in Science and Engineering
ISBN: 3540225234 ISBN-13(EAN): 9783540225232
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Описание: Domain decomposition is an active, interdisciplinary research area that is devoted to the development, analysis and implementation of coupling and decoupling strategies in mathematics, computational science, engineering and industry.

Автор: Ulrich Langer; Marco Discacciati; David E. Keyes;
Название: Domain Decomposition Methods in Science and Engineering XVII
ISBN: 354075198X ISBN-13(EAN): 9783540751984
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Описание: Domain decomposition is an active, interdisciplinary research field concerned with the development, analysis, and implementation of coupling and decoupling strategies in mathematical and computational models.

Автор: Barbara I. Wohlmuth
Название: Discretization Methods and Iterative Solvers Based on Domain Decomposition
ISBN: 354041083X ISBN-13(EAN): 9783540410836
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Описание: Domain decomposition methods provide powerful and flexible tools for the numerical approximation of partial differential equations arising in the modeling of many interesting applications in science and engineering.

Автор: Tarek Mathew
Название: Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations
ISBN: 3540772057 ISBN-13(EAN): 9783540772057
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Описание: A matrix oriented introduction to domain decomposition methodology. It discusses topics including hybrid formulations, Schwarz, substructuring and Lagrange multiplier methods for elliptic equations, computational issues, least squares-control methods, multilevel methods, non-self adjoint problems, parabolic equations and saddle point applications.

Автор: Thomas Carraro; Michael Geiger; Stefan K?rkel; Rol
Название: Multiple Shooting and Time Domain Decomposition Methods
ISBN: 3319233203 ISBN-13(EAN): 9783319233208
Издательство: Springer
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Описание:

T. Akman et al: Space-Time Discontinuous Galerkin Methods for Optimal Control Problems Governed by Time Dependent Diffusion-Convection-Reaction Equations.- Th. Carraro et al: Direct and Indirect Multiple Shooting for Parabolic Optimal Control Problems.- M.J. Gander: 50 Years of Time Parallel Time Integration.- S. Grцtschel et al: Reducing Memory Requirements in Scientific Computing and Optimal Control.- Y. Hasegawa: Optimal Control of Heat and Fluid Flow for Efficient Energy Utilization.- D. Janka et al: Direct Multiple Shooting for Optimum Experimental Design.- D. Kaschek et al: A Unified Approach to Integration and Optimization of Parametric Ordinary Differential Equations.- R. Kircheis et al: Parameter Estimation for PDAE Constrained Models Using a Reduced Approach.- M. Klinger: A Variational Approach for Physically Based Image Interpolation Across Boundaries.- C. Kreutz et al: Statistics for Model Calibration.- A. Potschka: Direct Multiple Shooting for Parabolic PDE Constrained Optimization.- R. Quirynen et al: Multiple Shooting in a Microsecond.- Th. Richter et al: Time Discretizations of Fluid-Structure Interactions.- St. Ulbrich: Preconditioners Based on 'Parareal' Time-Domain Decomposition for Time-Dependent PDE-Constrained Optimization.- E. Kostina et al: Direct Multiple Shooting for Optimization Problems in ODE Models.- M. Schlick: Parareal Time-Stepping for Limit-Cycle Computation of the Incompressible Navier-Stokes Equations with Uncertain Periodic Dynamics.