Name: Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces (en Inglés)
Price: 155.63 USD
Availability: InStock
Author: Ulbrich, Michael
ISBN: 9781611970685

portada Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces (en Inglés)

Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces (en Inglés)

Formato

Libro Físico

Autor

Michael Ulbrich

Editorial

Society for Industrial and Applied Mathematic

Año

2011

Idioma

Inglés

N° páginas

320

Encuadernación

Tapa Blanda

Dimensiones

25.1 x 17.8 x 1.8 cm

Peso

0.59 kg.

ISBN

1611970687

ISBN13

9781611970685

Categorías

Cálculo
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Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces (en Inglés)

Michael Ulbrich (Autor) · Society for Industrial and Applied Mathematic · Tapa Blanda

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Reseña del libro "Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces (en Inglés)"

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.