Name: Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces
Price: 4675.00 TWD
Availability: InStock
Author: Ulbrich, Michael
ISBN: 9781611970685

portada Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces

Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces

Type

Physical Book

Author

Michael Ulbrich

Publisher

Society for Industrial and Applied Mathematic

Year

2011

Language

English

Pages

320

Format

Paperback

Dimensions

25.1 x 17.8 x 1.8 cm

Weight

0.59 kg.

ISBN

1611970687

ISBN13

9781611970685

Synopsis "Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces"

Semismooth Newton methods are a modern class of remarkably powerful and versatile algorithms for solving constrained optimization problems with partial differential equations (PDEs), variational inequalities and related problems. This book provides a comprehensive presentation of these methods in function spaces, choosing a balance between thoroughly developed theory and numerical applications. Although largely self-contained, the book also covers recent developments such as state-constrained problems and offers new material on topics such as improved mesh independence results. The theory and methods are applied to a range of practically important problems, including: - optimal control of nonlinear elliptic differential equations - obstacle problems - flow control of instationary Navier-Stokes fluids In addition, the author covers adjoint-based derivative computation and the efficient solution of Newton systems by multigrid and preconditioned iterative methods.

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Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces - Ulbrich, Michael

Synopsis "Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces"

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