Solving Large-Scale Problems in Mechanics : The Development and Application of Computational Solution Methods

Solving Large-Scale Problems in Mechanics : The Development and Application of Computational Solution Methods

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  • 製本 Hardcover:ハードカバー版
  • 言語 ENG,ENG
  • 商品コード 9780471938095
  • DDC分類 624.17

Full Description


Solving Large-Scale Problems in Mechanics The Development and Application of Computational Solution Methods M. Paradrakakis National Technical University of Athens, Greece This book consists of a number of self-contained chapters written by internationally acclaimed leading researchers. It deals with the application of computational solution methods for handling large-scale problems in mechanics. The techniques explored here are applicable to any problem in the field where available computing power is liable to be stretched to its limit. Emphasis is given to computational procedures suitable to computing systems with vector and parallel architectures. Each chapter proceeds logically, first with theory, then with algorithmic-computational analysis, and finally applications to real problems. This is a comprehensive state-of-the-art treatment of theory and practice, illustrated by extensive numerical examples, which should serve as an essential reference book on the subject.

Table of Contents

  PARTIAL TABLE OF CONTENTS: Partial table of
contents:
Solving Large-Scale Linear Problems in Solid
and Structural Mechanics (M. Papadrakakis).
Solving Large Linearized Systems in Mechanics
(B. Nour-Omid).
Adaptive Iterative Solvers in Finite Elements
(J. Mandel).
Solution of Large Boundary Element Equations
(J. Kane & K. Prasad).
Solution of Large Eigenvalue Problems (G.
Gambolati).
Solving Large-Scale Non-Linear Problems in
Solid and Structural Mechanics (M.
Papadrakakis).
Mode Superposition Method (P. Leger).
Coupled Field Problems--Solution Techniques
for Sequential and Parallel Processing (I. St.
Doltsinis).
Methods for Optimization of Large-Scale
Systems (J. Arora).
Automatic Generation of Finite Element Models
(M. Shephard).
Indexes.