Totally Convex Functions for Fixed Points Computation and Infinite Dimensional Optimization, D. Butnariu; A.N. Iusem

Автор: Alexander M. Rubinov; Xiao-qi Yang
Название: Lagrange-type Functions in Constrained Non-Convex Optimization
ISBN: 1461348218 ISBN-13(EAN): 9781461348214
Издательство: Springer
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Описание: Thus the question arises how to generalize classical Lagrange and penalty functions, in order to obtain an appropriate scheme for reducing constrained optimiza- tion problems to unconstrained ones that will be suitable for sufficiently broad classes of optimization problems from both the theoretical and computational viewpoints.

Автор: Panos M. Pardalos; Antanas ?ilinskas; Julius ?ilin
Название: Non-Convex Multi-Objective Optimization
ISBN: 3319610058 ISBN-13(EAN): 9783319610054
Издательство: Springer
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Описание: Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions.

Автор: C. Udriste
Название: Convex Functions and Optimization Methods on Riemannian Manifolds
ISBN: 0792330021 ISBN-13(EAN): 9780792330028
Издательство: Springer
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Описание: Discusses the interaction between Riemannian geometry, convex programming, numerical analysis, dynamical systems and mathematical modelling. This book presents a unified theory of convexity of functions, dynamical systems and optimization methods on Riemannian manifolds.

Автор: Juan Peypouquet
Название: Convex Optimization in Normed Spaces
ISBN: 3319137093 ISBN-13(EAN): 9783319137094
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This work is intended to serve as a guide for graduate students and researchers who wish to get acquainted with the main theoretical and practical tools for the numerical minimization of convex functions on Hilbert spaces. Therefore, it contains the main tools that are necessary to conduct independent research on the topic.

Автор: Borwein, Jonathan M. Lewis, Adrian S. (university Of Waterloo)
Название: Convex analysis and nonlinear optimization
ISBN: 1441921273 ISBN-13(EAN): 9781441921277
Издательство: Springer
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Описание: Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated. This new edition adds material on semismooth optimization, as well as several new proofs.

Автор: Roman G. Strongin; Yaroslav D. Sergeyev
Название: Global Optimization with Non-Convex Constraints
ISBN: 1461371171 ISBN-13(EAN): 9781461371175
Издательство: Springer
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Автор: Monique Florenzano; P. Gourdel; Cuong Le Van
Название: Finite Dimensional Convexity and Optimization
ISBN: 3642625703 ISBN-13(EAN): 9783642625701
Издательство: Springer
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Описание: This book discusses convex analysis, the basic underlying structure of argumentation in economic theory. The text is aimed at senior undergraduate students, graduate students, and specialists of mathematical programming who are undertaking research into applied mathematics and economics.

Автор: Robert R. Phelps
Название: Convex Functions, Monotone Operators and Differentiability
ISBN: 3540567151 ISBN-13(EAN): 9783540567158
Издательство: Springer
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Описание: Starting with convex functions on the line, this title leads to interconnected topics in convexity, differentiability and subdifferentiability of convex functions in Banach spaces, generic continuity of monotone operators, geometry of Banach spaces and the Radon-Nikodym property, convex analysis, variational principles and perturbed optimization.