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Beschreibung
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.
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.
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Details
| Verlag | Springer US |
| Ersterscheinung | 31. Oktober 2001 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 1650 Gramm |
| Format | Hardcover |
| ISBN-13 | 9781402000324 |
| Auflage | 2001 |
| Seiten | 386 |
Schlagwörter
Angewandte Mathematik, Applications of Mathematics, Mathematical Modeling and Industrial Mathematics, Mathematics of Computing, Mathematik für Informatiker, Mathematik für Ingenieure, Mathematische Modellierung, Optimierung, Optimization, Probability Theory, Probability Theory and Stochastic Processes, Software Engineering, Software Engineering/Programming and Operating Systems, Stochastik, Wahrscheinlichkeitsrechnung und Statistik
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