Optimization On Metric And Normed Spaces

Author : Alexander J. Zaslavski
Publisher : Springer Science & Business Media
ISBN 13 : 0387886214
Total Pages : 443 pages
Book Rating : 4.13/5 ( download)

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Download or read book Optimization on Metric and Normed Spaces written by Alexander J. Zaslavski and published by Springer Science & Business Media. This book was released on 2010-08-05 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Optimization on Metric and Normed Spaces" is devoted to the recent progress in optimization on Banach spaces and complete metric spaces. Optimization problems are usually considered on metric spaces satisfying certain compactness assumptions which guarantee the existence of solutions and convergence of algorithms. This book considers spaces that do not satisfy such compactness assumptions. In order to overcome these difficulties, the book uses the Baire category approach and considers approximate solutions. Therefore, it presents a number of new results concerning penalty methods in constrained optimization, existence of solutions in parametric optimization, well-posedness of vector minimization problems, and many other results obtained in the last ten years. The book is intended for mathematicians interested in optimization and applied functional analysis.

Author : Alexander Zaslavski
Publisher : Springer
ISBN 13 : 9780387886282
Total Pages : 434 pages
Book Rating : 4.81/5 ( download)

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Download or read book Optimization on Metric and Normed Spaces written by Alexander Zaslavski and published by Springer. This book was released on 2010-11-08 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Optimization on Metric and Normed Spaces" is devoted to the recent progress in optimization on Banach spaces and complete metric spaces. Optimization problems are usually considered on metric spaces satisfying certain compactness assumptions which guarantee the existence of solutions and convergence of algorithms. This book considers spaces that do not satisfy such compactness assumptions. In order to overcome these difficulties, the book uses the Baire category approach and considers approximate solutions. Therefore, it presents a number of new results concerning penalty methods in constrained optimization, existence of solutions in parametric optimization, well-posedness of vector minimization problems, and many other results obtained in the last ten years. The book is intended for mathematicians interested in optimization and applied functional analysis.

Author : Rangarajan K. Sundaram
Publisher : Cambridge University Press
ISBN 13 : 9780521497701
Total Pages : 382 pages
Book Rating : 4.01/5 ( download)

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Download or read book A First Course in Optimization Theory written by Rangarajan K. Sundaram and published by Cambridge University Press. This book was released on 1996-06-13 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Divided into three separate parts, this book introduces students to optimization theory and its use in economics and allied disciplines. A preliminary chapter and three appendices are designed to keep the book mathematically self-contained.

Author : Fabio Botelho
Publisher : Springer
ISBN 13 : 3319060740
Total Pages : 584 pages
Book Rating : 4.43/5 ( download)

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Download or read book Functional Analysis and Applied Optimization in Banach Spaces written by Fabio Botelho and published by Springer. This book was released on 2014-06-12 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​This book introduces the basic concepts of real and functional analysis. It presents the fundamentals of the calculus of variations, convex analysis, duality, and optimization that are necessary to develop applications to physics and engineering problems. The book includes introductory and advanced concepts in measure and integration, as well as an introduction to Sobolev spaces. The problems presented are nonlinear, with non-convex variational formulation. Notably, the primal global minima may not be attained in some situations, in which cases the solution of the dual problem corresponds to an appropriate weak cluster point of minimizing sequences for the primal one. Indeed, the dual approach more readily facilitates numerical computations for some of the selected models. While intended primarily for applied mathematicians, the text will also be of interest to engineers, physicists, and other researchers in related fields.

Author : Andreĭ Nikolaevich Kolmogorov
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.34/5 ( download)

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Download or read book Metric and normed spaces written by Andreĭ Nikolaevich Kolmogorov and published by . This book was released on 1957 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Guillaume Carlier
Publisher : World Scientific
ISBN 13 : 180061067X
Total Pages : 388 pages
Book Rating : 4.75/5 ( download)

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Download or read book Classical And Modern Optimization written by Guillaume Carlier and published by World Scientific. This book was released on 2022-03-16 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The quest for the optimal is ubiquitous in nature and human behavior. The field of mathematical optimization has a long history and remains active today, particularly in the development of machine learning.Classical and Modern Optimization presents a self-contained overview of classical and modern ideas and methods in approaching optimization problems. The approach is rich and flexible enough to address smooth and non-smooth, convex and non-convex, finite or infinite-dimensional, static or dynamic situations. The first chapters of the book are devoted to the classical toolbox: topology and functional analysis, differential calculus, convex analysis and necessary conditions for differentiable constrained optimization. The remaining chapters are dedicated to more specialized topics and applications.Valuable to a wide audience, including students in mathematics, engineers, data scientists or economists, Classical and Modern Optimization contains more than 200 exercises to assist with self-study or for anyone teaching a third- or fourth-year optimization class.

Author : Peter Kosmol
Publisher : Walter de Gruyter
ISBN 13 : 3110250217
Total Pages : 405 pages
Book Rating : 4.13/5 ( download)

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Download or read book Optimization in Function Spaces written by Peter Kosmol and published by Walter de Gruyter. This book was released on 2011-02-28 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an essentially self-contained book on the theory of convex functions and convex optimization in Banach spaces, with a special interest in Orlicz spaces. Approximate algorithms based on the stability principles and the solution of the corresponding nonlinear equations are developed in this text. A synopsis of the geometry of Banach spaces, aspects of stability and the duality of different levels of differentiability and convexity is developed. A particular emphasis is placed on the geometrical aspects of strong solvability of a convex optimization problem: it turns out that this property is equivalent to local uniform convexity of the corresponding convex function. This treatise also provides a novel approach to the fundamental theorems of Variational Calculus based on the principle of pointwise minimization of the Lagrangian on the one hand and convexification by quadratic supplements using the classical Legendre-Ricatti equation on the other. The reader should be familiar with the concepts of mathematical analysis and linear algebra. Some awareness of the principles of measure theory will turn out to be helpful. The book is suitable for students of the second half of undergraduate studies, and it provides a rich set of material for a master course on linear and nonlinear functional analysis. Additionally it offers novel aspects at the advanced level. From the contents: Approximation and Polya Algorithms in Orlicz Spaces Convex Sets and Convex Functions Numerical Treatment of Non-linear Equations and Optimization Problems Stability and Two-stage Optimization Problems Orlicz Spaces, Orlicz Norm and Duality Differentiability and Convexity in Orlicz Spaces Variational Calculus

Author : Raymond W. Freese
Publisher : Nova Publishers
ISBN 13 : 9781590330197
Total Pages : 314 pages
Book Rating : 4.96/5 ( download)

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Download or read book Geometry of Linear 2-normed Spaces written by Raymond W. Freese and published by Nova Publishers. This book was released on 2001 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Diethard Ernst Pallaschke
Publisher : Springer Science & Business Media
ISBN 13 : 9401715882
Total Pages : 597 pages
Book Rating : 4.81/5 ( download)

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Download or read book Foundations of Mathematical Optimization written by Diethard Ernst Pallaschke and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many books on optimization consider only finite dimensional spaces. This volume is unique in its emphasis: the first three chapters develop optimization in spaces without linear structure, and the analog of convex analysis is constructed for this case. Many new results have been proved specially for this publication. In the following chapters optimization in infinite topological and normed vector spaces is considered. The novelty consists in using the drop property for weak well-posedness of linear problems in Banach spaces and in a unified approach (by means of the Dolecki approximation) to necessary conditions of optimality. The method of reduction of constraints for sufficient conditions of optimality is presented. The book contains an introduction to non-differentiable and vector optimization. Audience: This volume will be of interest to mathematicians, engineers, and economists working in mathematical optimization.

Author : Juan Peypouquet
Publisher : Springer
ISBN 13 : 3319137107
Total Pages : 124 pages
Book Rating : 4.00/5 ( download)

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Download or read book Convex Optimization in Normed Spaces written by Juan Peypouquet and published by Springer. This book was released on 2015-03-18 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. It is also a concise, easy-to-follow and self-contained textbook, which may be useful for any researcher working on related fields, as well as teachers giving graduate-level courses on the topic. It will contain a thorough revision of the extant literature including both classical and state-of-the-art references.