Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces is popular PDF and ePub book, written by Michael Ulbrich in 2011-01-01, it is a fantastic choice for those who relish reading online the Constrained optimization genre. Let's immerse ourselves in this engaging Constrained optimization book by exploring the summary and details provided below. Remember, Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces can be Read Online from any device for your convenience.
Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces Book PDF Summary
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.
Detail Book of Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces PDF
- Author : Michael Ulbrich
- Release : 01 January 2011
- Publisher : SIAM
- ISBN : 1611970695
- Genre : Constrained optimization
- Total Page : 322 pages
- Language : English
- PDF File Size : 16,8 Mb
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