Subdifferentials: Theory and Applications by A.G. KusraevSubdifferentials: Theory and Applications by A.G. Kusraev

Subdifferentials: Theory and Applications

byA.G. Kusraev, Semën Samsonovi Kutateladze

Paperback | October 13, 2012

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The subject of the present book is sub differential calculus. The main source of this branch of functional analysis is the theory of extremal problems. For a start, we explicate the origin and statement of the principal problems of sub differential calculus. To this end, consider an abstract minimization problem formulated as follows: x E X, f(x) --+ inf. Here X is a vector space and f : X --+ iR is a numeric function taking possibly infinite values. In these circumstances, we are usually interested in the quantity inf f( x), the value of the problem, and in a solution or an optimum plan of the problem (i. e. , such an x that f(x) = inf f(X», if the latter exists. It is a rare occurrence to solve an arbitrary problem explicitly, i. e. to exhibit the value of the problem and one of its solutions. In this respect it becomes necessary to simplify the initial problem by reducing it to somewhat more manageable modifications formulated with the details of the structure of the objective function taken in due account. The conventional hypothesis presumed in attempts at theoretically approaching the reduction sought is as follows. Introducing an auxiliary function 1, one considers the next problem: x EX, f(x) -l(x) --+ inf. Furthermore, the new problem is assumed to be as complicated as the initial prob­ lem provided that 1 is a linear functional over X, i. e.
Title:Subdifferentials: Theory and ApplicationsFormat:PaperbackDimensions:405 pagesPublished:October 13, 2012Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9401041172

ISBN - 13:9789401041171

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Table of Contents

Preface. 1. Convex Correspondences and Operators. 2. Geometry and Subdifferentials. 3. Convexity and Openness. 4. The Apparatus of Subdifferential Calculus. 5. Convex Extremal Problems. 6. Local Convex Approximations. References. Author Index. Subject Index. Symbol Index.