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Optimization by Vector Space Methods

Optimization by Vector Space Methods
Author: David G. Luenberger
Publisher: John Wiley & Sons
Total Pages: 348
Release: 1997-01-23
Genre: Technology & Engineering
ISBN: 9780471181170

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Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory to solve complex problems. Unifies the large field of optimization with a few geometric principles. Covers functional analysis with a minimum of mathematics. Contains problems that relate to the applications in the book.


From Vector Spaces to Function Spaces

From Vector Spaces to Function Spaces
Author: Yutaka Yamamoto
Publisher: SIAM
Total Pages: 270
Release: 2012-10-31
Genre: Mathematics
ISBN: 1611972302

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A guide to analytic methods in applied mathematics from the perspective of functional analysis, suitable for scientists, engineers and students.


Variational Methods in Optimization

Variational Methods in Optimization
Author: Donald R. Smith
Publisher: Courier Corporation
Total Pages: 406
Release: 1998-01-01
Genre: Mathematics
ISBN: 9780486404554

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Highly readable text elucidates applications of the chain rule of differentiation, integration by parts, parametric curves, line integrals, double integrals, and elementary differential equations. 1974 edition.


Optimization in Function Spaces

Optimization in Function Spaces
Author: Amol Sasane
Publisher: Courier Dover Publications
Total Pages: 260
Release: 2016-03-15
Genre: Mathematics
ISBN: 0486789454

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Classroom-tested at the London School of Economics, this original, highly readable text offers numerous examples and exercises as well as detailed solutions. Prerequisites are multivariable calculus and basic linear algebra. 2015 edition.


Recent Advances and Historical Development of Vector Optimization

Recent Advances and Historical Development of Vector Optimization
Author: Johannes Jahn
Publisher: Springer Science & Business Media
Total Pages: 409
Release: 2012-12-06
Genre: Business & Economics
ISBN: 3642466184

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In vector optimization one investigates optimization problems in an abstract setting which have a not necessarily real-valued objective function. This scientific discipline is closely related to multi-objective optimization and multi-criteria decision making. This book contains refereed contributions to the "International Conference on Vector Optimization" held at the Technical University of Darmstadt from August 4-7, 1986. This meeting was an interdisciplinary forum devoted to new results in the theory, to applications as well as to the solution of vector optimization problems which are relevant in practice. Because of the great variety of topics covered by the contributions, the 25 articles of this volume are organized in different sections: Historical retrospect, mathematical theory, goal setting and decision making, engineering applications, and related topics. The papers of the invited State-of-the-Art Tutorials given by Professors J.M. Borwein, H. Eschenauer, W. Stadler and P.L. Yu are also included.


Convex Optimization

Convex Optimization
Author: Stephen P. Boyd
Publisher: Cambridge University Press
Total Pages: 744
Release: 2004-03-08
Genre: Business & Economics
ISBN: 9780521833783

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Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.


Vector Optimization with Infimum and Supremum

Vector Optimization with Infimum and Supremum
Author: Andreas Löhne
Publisher: Springer Science & Business Media
Total Pages: 211
Release: 2011-05-25
Genre: Business & Economics
ISBN: 3642183514

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The theory of Vector Optimization is developed by a systematic usage of infimum and supremum. In order to get existence and appropriate properties of the infimum, the image space of the vector optimization problem is embedded into a larger space, which is a subset of the power set, in fact, the space of self-infimal sets. Based on this idea we establish solution concepts, existence and duality results and algorithms for the linear case. The main advantage of this approach is the high degree of analogy to corresponding results of Scalar Optimization. The concepts and results are used to explain and to improve practically relevant algorithms for linear vector optimization problems.