A comprehensive treatment of semismooth Newton methods in function spaces: from their foundations to recent progress in the field.
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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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Zustand: New. Über den AutorMichael Ulbrich is Professor and Chair of Mathematical Optimization in the Department of Mathematics at the Technische Universitaet Muenchen. His main research areas include numerical nonlinear optimization and its appli. Artikel-Nr. 904511723
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Taschenbuch. Zustand: Neu. Neuware - 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 semilinear elliptic differential equations, obstacle problems, and flow control of instationary NavierStokes fluids.In addition, the author covers adjoint-based derivative computation and the efficient solution of Newton systems by multigrid and preconditioned iterative methods. Artikel-Nr. 9781611970685
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