Stochastic Programming

András Prékopa

ISBN 10: 0792334825 / ISBN 13: 9780792334828

Published by Springer Netherlands, Springer Netherlands Jul 1995, 1995

About this Item

Neuware -Stochastic programming - the science that provides us with tools to design and control stochastic systems with the aid of mathematical programming techniques - lies at the intersection of statistics and mathematical programming. The book Stochastic Programming is a comprehensive introduction to the field and its basic mathematical tools. While the mathematics is of a high level, the developed models offer powerful applications, as revealed by the large number of examples presented. The material ranges form basic linear programming to algorithmic solutions of sophisticated systems problems and applications in water resources and power systems, shipbuilding, inventory control, etc.Audience: Students and researchers who need to solve practical and theoretical problems in operations research, mathematics, statistics, engineering, economics, insurance, finance, biology and environmental protection.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 620 pp. Englisch.

Seller Inventory # 9780792334828

Bibliographic Details

• Title: Stochastic Programming
• Publisher: Springer Netherlands, Springer Netherlands Jul 1995
• Publication Date: 1995
• Language: English
• ISBN 10: 0792334825
• ISBN 13: 9780792334828
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 39D millimeters 240 millimeters width by 161 millimeters height by 39 millimeters depth
• Weight: 1088 grams

About this title

Synopsis

Stochastic programming - the science that provides us with tools to design and control stochastic systems with the aid of mathematical programming techniques - lies at the intersection of statistics and mathematical programming. The book Stochastic Programming is a comprehensive introduction to the field and its basic mathematical tools. While the mathematics is of a high level, the developed models offer powerful applications, as revealed by the large number of examples presented. The material ranges form basic linear programming to algorithmic solutions of sophisticated systems problems and applications in water resources and power systems, shipbuilding, inventory control, etc.
Audience: Students and researchers who need to solve practical and theoretical problems in operations research, mathematics, statistics, engineering, economics, insurance, finance, biology and environmental protection.