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

Language EnglishEnglish
Book Paperback
Book Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces Michael Ulbrich
Libristo code: 04419990
Semismooth Newton methods are a modern class of remarkably powerful and versatile algorithms for sol... Full description
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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.

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About the book

Full name Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces
Language English
Binding Book - Paperback
Date of issue 2011
Number of pages 320
EAN 9781611970685
ISBN 1611970687
Libristo code 04419990
Weight 58
Dimensions 170 x 252 x 17
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