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Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces
Michael Ulbrich
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Description for Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces
Paperback. A comprehensive treatment of semismooth Newton methods in function spaces: from their foundations to recent progress in the field. Series: MPS-SIAM Series on Optimization. Num Pages: 320 pages, Illustrations (some col.). BIC Classification: PBKS; PBU. Category: (P) Professional & Vocational. Dimension: 252 x 170 x 17. Weight in Grams: 588.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2011
Publisher
Society for Industrial & Applied Mathematics,U.S. United States
Number of pages
320
Condition
New
Number of Pages
320
Place of Publication
New York, United States
ISBN
9781611970685
SKU
V9781611970685
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Michael Ulbrich
Michael Ulbrich is Professor and Chair of Mathematical Optimization in the Department of Mathematics at the Technische Universität München. His main research areas include numerical nonlinear optimization and its applications, optimal control with PDEs, and complementarity problems.
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