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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

by Michael Ulbrich
Paperback
Publication Date: 28/07/2011

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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.
ISBN:
9781611970685
9781611970685
Category:
Optimization
Format:
Paperback
Publication Date:
28-07-2011
Language:
English
Publisher:
Society for Industrial & Applied Mathematics,U.S.
Country of origin:
United States
Pages:
320
Dimensions (mm):
244x177x15mm
Weight:
0.58kg

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