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Subdifferentials: Theory and Applications: Mathematics and Its Applications, cartea 323

Autor A.G. Kusraev, Semën Samsonovich Kutateladze
en Limba Engleză Paperback – 13 oct 2012
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.
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Specificații

ISBN-13: 9789401041171
ISBN-10: 9401041172
Pagini: 416
Ilustrații: IX, 405 p.
Dimensiuni: 160 x 240 x 22 mm
Greutate: 0.58 kg
Ediția:Softcover reprint of the original 1st ed. 1995
Editura: SPRINGER NETHERLANDS
Colecția Springer
Seria Mathematics and Its Applications

Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

1. Convex Correspondences and Operators.- 1. Convex Sets.- 2. Convex Correspondences.- 3. Convex Operators.- 4. Fans and Linear Operators.- 5. Systems of Convex Objects.- 6. Comments.- 2. Geometry of Subdifferentials.- 1. The Canonical Operator Method.- 2. Extremal Structure of Subdifferentials.- 3. Subdifferentials of Operators Acting in Modules.- 4. The Intrinsic Structure of Subdifferentials.- 5. Caps and Faces.- 6. Comments.- 3. Convexity and Openness.- 1. Openness of Convex Correspondences.- 2. The Method of General Position.- 3. Calculus of Polars.- 4. Dual Characterization of Openness.- 5. Openness and Completeness.- 6. Comments.- 4. The Apparatus of Subdifferential Calculus.- 1. The Young-Fenchel Transform.- 2. Formulas for Subdifferentiation.- 3. Semicontinuity.- 4. Maharam Operators.- 5. Disintegration.- 6. Infinitesimal Sub differentials.- 7. Comments.- 5. Convex Extremal Problems.- 1. Vector Programs. Optimality.- 2. The Lagrange Principle.- 3. Conditions for Optimality and Approximate Optimality.- 4. Conditions for Infinitesimal Optimality.- 5. Existence of Generalized Solutions.- 6. Comments.- 6. Local Convex Approximations.- 1. Classification of Local Approximations.- 2. Kuratowski and Rockafellar Limits.- 3. Approximations Determined by a Set of Infinitesimals.- 4. Approximation to the Composition of Sets.- 5. Subdifferentials of Nonsmooth Operators.- 6. Comments.- References.- Author Index.- Symbol Index.