Semi-Infinite Programming : Recent Advances

Marco A. López

ISBN 10: 1402000324 / ISBN 13: 9781402000324

Edité par Springer US, Springer US, 2001

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - Semi-infinite programming (SIP) deals with optimization problems in which either the number of decision variables or the number of constraints is finite. This book presents the state of the art in SIP in a suggestive way, bringing the powerful SIP tools close to the potential users in different scientific and technological fields. The volume is divided into four parts. Part I reviews the first decade of SIP (1962-1972). Part II analyses convex and generalised SIP, conic linear programming, and disjunctive programming. New numerical methods for linear, convex, and continuously differentiable SIP problems are proposed in Part III. Finally, Part IV provides an overview of the applications of SIP to probability, statistics, experimental design, robotics, optimization under uncertainty, production games, and separation problems. Audience: This book is an indispensable reference and source for advanced students and researchers in applied mathematics and engineering.

N° de réf. du vendeur 9781402000324

Détails bibliographiques

• Titre: Semi-Infinite Programming : Recent Advances
• Éditeur: Springer US, Springer US
• Date de parution: 2001
• Langue: anglais
• ISBN à 10 chiffres: 1402000324
• ISBN à 13 chiffres: 9781402000324
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

Semi-infinite programming (SIP) deals with optimization problems in which either the number of decision variables or the number of constraints is finite. This book presents the state of the art in SIP in a suggestive way, bringing the powerful SIP tools close to the potential users in different scientific and technological fields.
The volume is divided into four parts. Part I reviews the first decade of SIP (1962-1972). Part II analyses convex and generalised SIP, conic linear programming, and disjunctive programming. New numerical methods for linear, convex, and continuously differentiable SIP problems are proposed in Part III. Finally, Part IV provides an overview of the applications of SIP to probability, statistics, experimental design, robotics, optimization under uncertainty, production games, and separation problems.
Audience: This book is an indispensable reference and source for advanced students and researchers in applied mathematics and engineering.