Optimization by Vector Space Methods

Optimization by Vector Space Methods
Title Optimization by Vector Space Methods PDF eBook
Author David G. Luenberger
Publisher John Wiley & Sons
Pages 352
Release 1997-01-23
Genre Technology & Engineering
ISBN 047118117X

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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.

Optimization by Vector Space Methods

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

Download Optimization by Vector Space Methods Book in PDF, Epub and Kindle

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
Title From Vector Spaces to Function Spaces PDF eBook
Author Yutaka Yamamoto
Publisher SIAM
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.

A Vector Space Approach to Models and Optimization

A Vector Space Approach to Models and Optimization
Title A Vector Space Approach to Models and Optimization PDF eBook
Author C. Nelson Dorny
Publisher John Wiley & Sons
Pages 632
Release 1975
Genre Mathematics
ISBN

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Optimization in Function Spaces

Optimization in Function Spaces
Title Optimization in Function Spaces PDF eBook
Author Amol Sasane
Publisher Courier Dover Publications
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.

Variational Methods in Optimization

Variational Methods in Optimization
Title Variational Methods in Optimization PDF eBook
Author Donald R. Smith
Publisher Courier Corporation
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.

Convex Analysis in General Vector Spaces

Convex Analysis in General Vector Spaces
Title Convex Analysis in General Vector Spaces PDF eBook
Author C. Zalinescu
Publisher World Scientific
Pages 389
Release 2002
Genre Science
ISBN 9812380671

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The primary aim of this book is to present the conjugate and sub/differential calculus using the method of perturbation functions in order to obtain the most general results in this field. The secondary aim is to provide important applications of this calculus and of the properties of convex functions. Such applications are: the study of well-conditioned convex functions, uniformly convex and uniformly smooth convex functions, best approximation problems, characterizations of convexity, the study of the sets of weak sharp minima, well-behaved functions and the existence of global error bounds for convex inequalities, as well as the study of monotone multifunctions by using convex functions.