Nonlinear Programming 3

Mangasarian, Olvi L,. Robert R. Meyer, and Stephen M. Robinson, editors

ISBN 10: 0124686605 / ISBN 13: 9780124686601

Published by Academic Press, 1978

About this Item

Hardcover; proceedings of the Special Interest Group on Mathematical Programming Symposium conducted by the Computer Sciences Department at the University of Wisconsin - Madison, July 11-13, 1977; surplus library copy with the usual stampings; reference number taped to the spine; bar code and checkout sheet taped to front cover; fading and shelf wear to exterior; otherwise in good condition with clean text and tight binding.

Seller Inventory # 79448

Bibliographic Details

• Title: Nonlinear Programming 3
• Publisher: Academic Press
• Publication Date: 1978
• Language: English
• ISBN 10: 0124686605
• ISBN 13: 9780124686601
• Binding: Hardcover
• Condition: UsedGood

About this title

Synopsis

Nonlinear Programming 3 covers the proceedings of the Special Interest Group on Mathematical Programming Symposium conducted by the Computer Sciences Department at the University of Wisconsin, Madison, on July 11-13, 1977.

This book is composed of 17 chapters. The first eight chapters describe some of the most effective methods available for solving linearly and nonlinearly constrained optimization problems. The subsequent chapter gives algorithms for the solution of nonlinear equations together with computational experience. Other chapters provide some applications of optimization in operations research and a measurement procedure for optimization algorithm efficiency. These topics are followed by discussion of the methods for solving large quadratic programs and algorithms for solving stationary and fixed point problems. The last chapters consider the minimization of certain types of nondifferentiable functions and a type of Newton method.

This book will prove useful to mathematicians and computer scientists.

Book Description

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 scheduling can be reduced to a constrained optimization problem. Provides readers with the fundamentals needed to study and solve such problems.