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Abstract Convexity and Global Optimization (Paperback, Softcover reprint of hardcover 1st ed. 2000) Loot Price: R4,428
Discovery Miles 44 280
Abstract Convexity and Global Optimization (Paperback, Softcover reprint of hardcover 1st ed. 2000): Alexander M. Rubinov

Abstract Convexity and Global Optimization (Paperback, Softcover reprint of hardcover 1st ed. 2000)

Alexander M. Rubinov

Series: Nonconvex Optimization and Its Applications, 44

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Loot Price R4,428 Discovery Miles 44 280 | Repayment Terms: R415 pm x 12*

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Special tools are required for examining and solving optimization problems. The main tools in the study of local optimization are classical calculus and its modern generalizions which form nonsmooth analysis. The gradient and various kinds of generalized derivatives allow us to ac complish a local approximation of a given function in a neighbourhood of a given point. This kind of approximation is very useful in the study of local extrema. However, local approximation alone cannot help to solve many problems of global optimization, so there is a clear need to develop special global tools for solving these problems. The simplest and most well-known area of global and simultaneously local optimization is convex programming. The fundamental tool in the study of convex optimization problems is the subgradient, which actu ally plays both a local and global role. First, a subgradient of a convex function f at a point x carries out a local approximation of f in a neigh bourhood of x. Second, the subgradient permits the construction of an affine function, which does not exceed f over the entire space and coincides with f at x. This affine function h is called a support func tion. Since f(y) ~ h(y) for ally, the second role is global. In contrast to a local approximation, the function h will be called a global affine support.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Nonconvex Optimization and Its Applications, 44
Release date: December 2010
First published: 2000
Authors: Alexander M. Rubinov
Dimensions: 235 x 155 x 26mm (L x W x T)
Format: Paperback
Pages: 493
Edition: Softcover reprint of hardcover 1st ed. 2000
ISBN-13: 978-1-4419-4831-1
Categories: Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
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LSN: 1-4419-4831-7
Barcode: 9781441948311

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