Nonlinear Programming (Paperback, illustrated edition)

This reprint of the 1969 book of the same name is a concise, rigorous, yet accessible, account of the fundamentals of constrained optimization theory. Many problems arising in diverse fields such as machine learning, medicine, chemical engineering, structural design, and airline scheduling can be reduced to a constrained optimization problem. This book provides readers with the fundamentals needed to study and solve such problems. Beginning with a chapter on linear inequalities and theorems of the alternative, basics of convex sets and separation theorems are then derived based on these theorems. This is followed by a chapter on convex functions that includes theorems of the alternative for such functions. These results are used in obtaining the saddlepoint optimality conditions of nonlinear programming without differentiability assumptions.

General

Imprint:	Society For Industrial & Applied Mathematics,U.S.
Country of origin:	United States
Series:	Classics in Applied Mathematics, No. 10
Release date:	1987
First published:	1987
Authors:	Olvi L. Mangasarian • Robert O'Malley
Dimensions:	229 x 152 x 11mm (L x W x T)
Format:	Paperback - Trade
Pages:	235
Edition:	illustrated edition
ISBN-13:	978-0-89871-341-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Computer programming > General Books > Science & Mathematics > Mathematics > Applied mathematics > General Promotions
LSN:	0-89871-341-2
Barcode:	9780898713411

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