(PDF) Semismooth Newton Methods For Variational Inequalities And Const (2024)

Download Constrained optimization book titled Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces by Michael Ulbrich, available in full as PDF and EPUB formats for online reading. This page offers a concise summary, a book cover preview, and detailed information about Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces, released on 01 January 2011. Before downloading, check out the summary to see why this book is a must-read for Constrained optimization enthusiasts. Get your free PDF or EPUB now and start reading online today!

Summary of Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces Book PDF

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, striking a balance between thoroughly developed theory and numerical applications. Although largely self-contained, the book also covers recent developments in the field, 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, and 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.

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

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