<p><P>Many mechanics and physics problems have variational formulations making them appropriate for numerical treatment by finite element techniques and efficient iterative methods. This book describes the mathematical background and reviews the techniques for solving problems, including those that
Numerical Methods for Nonlinear Variational Problems
โ Scribed by Roland Glowinski (auth.)
- Publisher
- Springer Berlin Heidelberg
- Year
- 1984
- Tongue
- English
- Leaves
- 506
- Series
- Scientific Computation
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Content:
Front Matter....Pages i-xv
Generalities on Elliptic Variational Inequalities and on Their Approximation....Pages 1-26
Application of the Finite Element Method to the Approximation of Some Second-Order EVI....Pages 27-97
On the Approximation of Parabolic Variational Inequalities....Pages 98-109
Applications of Elliptic Variational Inequality Methods to the Solution of Some Nonlinear Elliptic Equations....Pages 110-139
Relaxation Methods and Applications....Pages 140-165
Decomposition-Coordination Methods by Augmented Lagrangian: Applications....Pages 166-194
Least-Squares Solution of Nonlinear Problems: Application to Nonlinear Problems in Fluid Dynamics....Pages 195-320
Back Matter....Pages 321-493
๐ SIMILAR VOLUMES
Many mechanics and physics problems have variational formulations making them appropriate for numerical treatment by finite element techniques and efficient iterative methods. This book describes the mathematical background and reviews the techniques for solving problems, including those that requir
Many mechanics and physics problems have variational formulations making them appropriate for numerical treatment by finite element techniques and efficient iterative methods. This book describes the mathematical background and reviews the techniques for solving problems, including those that requir
This textbook teaches finite element methods from a computational point of view. It focuses on how to develop flexible computer programs with Python, a programming language in which a combination of symbolic and numerical tools is used to achieve an explicit and practical derivation of finite elemen