Overview

This volume provides an outstanding collection of tutorial and survey articles on semi-infinite programming by leading researchers. While the literature on semi-infinite programming has grown enormously, an up-to-date book on this exciting area of optimization has been sorely lacking. The volume is divided into three parts. The first part, Theory, includes an analysis of sensitivity and stability properties and a discussion of parameter-dependent problems. A comprehensive survey of existing methods and a discussion of connections with semi-definite programming are topics in the second part, Numerical Methods. Investigations of special problems from signal processing, reliability testing, and control theory make up the final part, Applications. Audience: This book is an indispensable reference and source for advanced students and researchers in applied mathematics and engineering.

Full Product Details

Author:   Rembert Reemtsen ,  Jan-J. Rückmann
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 1998
Volume:   25
Dimensions:   Width: 15.50cm , Height: 2.20cm , Length: 23.50cm
Weight:   0.658kg
ISBN:  

9781441947956

ISBN 10:   1441947957
Pages:   414
Publication Date:   03 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

1 A Comprehensive Survey of Linear Semi-Infinite Optimization Theory.- 2 On Stability and Deformation in Semi-Infinite Optimization.- 3 Regularity and Stability in Nonlinear Semi-Infinite Optimization.- 4 First and Second Order Optimality Conditions and Perturbation Analysis of Semi-Infinite Programming Problems.- 5 Exact Penalty Function Methods for Nonlinear Semi-Infinite Programming.- 6 Feasible Sequential Quadratic Programming for Finely Discretized Problems from SIP.- 7 Numerical Methods for Semi-Infinite Programming: A Survey.- 8 Connections between Semi-Infinite and Semidefinite Programming.- 9 Reliability Testing and Semi-Infinite Linear Programming.- 10 Semi-Infinite Programming in Orthogonal Wavelet Filter Design.- 11 The Design of Nonrecursive Digital Filters via Convex Optimization.- 12 Semi-Infinite Programming in Control.

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