Home Ergodebooks Separable Programming: Theory and Methods (Applied Optimization, 53) by Stefanov, S.M (ISBN: 9780792368823)

Separable Programming: Theory and Methods (Applied Optimization, 53)

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Separable Programming: Theory and Methods (Applied Optimization, 53) Hardback - 2001 - 2001st Edition

Name: Separable Programming: Theory and Methods (Applied Optimization, 53)
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Author: Stefanov, S.M
ISBN: 9780792368823

by Stefanov, S.M

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Springer, 2001-05-31. 2001. hardcover. New. 6.44x0.92x9.70. Buy with confidence. Excellent Customer Service & Return policy.

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Title Separable Programming: Theory and Methods (Applied Optimization, 53)
Author Stefanov, S.M
Binding Hardback
Edition number 2001st
Edition 2001
Condition New
Pages 314
Volumes 1
Language ENG
Publisher Springer
Publication date 2001-05-31
Features Bibliography, Index
Bookseller's Inventory # DADAX0792368827
ISBN 9780792368823 / 0792368827
Weight 1.42 lbs (0.64 kg)
Dimensions 9.7 x 6.44 x 0.92 in (24.64 x 16.36 x 2.34 cm)
Size 6.44x0.92x9.70
Category Mathematics
Library of Congress subjects Convex programming
Library of Congress Catalogue Number 2001029308
Dewey Decimal Code 519.76
Quantity available 1

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From the publisher

In this book, the author considers separable programming and, in particular, one of its important cases - convex separable programming. Some general results are presented, techniques of approximating the separable problem by linear programming and dynamic programming are considered.
Convex separable programs subject to inequality/ equality constraint(s) and bounds on variables are also studied and iterative algorithms of polynomial complexity are proposed.
As an application, these algorithms are used in the implementation of stochastic quasigradient methods to some separable stochastic programs. Numerical approximation with respect to I₁ and I₄ norms, as a convex separable nonsmooth unconstrained minimization problem, is considered as well.
Audience: Advanced undergraduate and graduate students, mathematical programming/ operations research specialists.

First line

In this chapter, wo give some definitions and results connected with convex analysis, convex programming, and Lagrangian duality.

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