[PDF.47qz] Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces (MPS-SIAM Series on Optimization)

Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces (MPS-SIAM Series on Optimization)

[PDF.wn01] Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces (MPS-SIAM Series on Optimization)

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 | #376110 in Books |  2011-07-14 | Original language:English | PDF # 1 |  9.72 x.59 x6.85l,1.30 | File type: PDF | 322 pages

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||About the Author|Michael Ulbrich is Professor and Chair of Mathematical Optimization in the Department of Mathematics at the Technische Universitat Munchen. His main research areas include numerical nonlinear optimization and its applications, optimal con

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 developm...

You can specify the type of files you want, for your gadget.Semismooth Newton Methods for Variational Inequalities and Constrained Optimization Problems in Function Spaces (MPS-SIAM Series on Optimization)   |  Michael Ulbrich. I was recommended this book by a dear friend of mine.

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