Modeling, Mesh Generation, and Adaptive Numerical Methods for Partial Differential Equations

Name: Modeling, Mesh Generation, and Adaptive Numerical Methods for Partial Differential Equations
Brand: Springer-Verlag New York Inc.
SKU: 9781461287070
Price: 95418 HUF
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Szerző: Ivo Babuska, Joseph E. Flaherty, William D. Henshaw, John E. Hopcroft, Joseph E. Oliger, Tayfun Tezduyar

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Kötés: Puha kötésű

Kiadó: Springer-Verlag New York Inc.

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This IMA Volume in Mathematics and its Applications MODELING, MESH GENERATION, AND ADAPTIVE NUMERICA...

Információk a könyvről

Szerző

Ivo Babuska, Joseph E. Flaherty, William D. Henshaw, John E. Hopcroft, Joseph E. Oliger, Tayfun Tezduyar

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2011

oldal

450

EAN

9781461287070

ISBN

1461287073

Enbook ID

06795835

Kiadó

Springer-Verlag New York Inc.

Súly

762

Méretek

155 x 235 x 28

Teljes leírás

This IMA Volume in Mathematics and its Applications MODELING, MESH GENERATION, AND ADAPTIVE NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS is based on the proceedings of the 1993 IMA Summer Program "Modeling, Mesh Generation, and Adaptive Numerical Methods for Partial Differential Equations." We thank Ivo Babuska, Joseph E. Flaherty, William D. Hen shaw, John E. Hopcroft, Joseph E. Oliger, and Tayfun Tezduyar for orga nizing the workshop and editing the proceedings. We also take this oppor tunity to thank those agencies whose financial support made the summer program possible: the National Science Foundation (NSF), the Army Re search Office (ARO) the Department of Energy (DOE), the Minnesota Su percomputer Institute (MSI), and the Army High Performance Computing Research Center (AHPCRC). A vner Friedman Willard Miller, Jr. xiii PREFACE Mesh generation is one of the most time consuming aspects of com putational solutions of problems involving partial differential equations. It is, furthermore, no longer acceptable to compute solutions without proper verification that specified accuracy criteria are being satisfied. Mesh gen eration must be related to the solution through computable estimates of discretization errors. Thus, an iterative process of alternate mesh and so lution generation evolves in an adaptive manner with the end result that the solution is computed to prescribed specifications in an optimal, or at least efficient, manner. While mesh generation and adaptive strategies are becoming available, major computational challenges remain. One, in particular, involves moving boundaries and interfaces, such as free-surface flows and fluid-structure interactions.

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Modeling, Mesh Generation, and Adaptive Numerical Methods for Partial Differential Equations

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