Stochastic Programming

András Prékopa

ISBN 10: 0792334825 / ISBN 13: 9780792334828

Verlag: Springer Netherlands, Springer Netherlands Jul 1995, 1995

Beschreibung

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.

Bestandsnummer des Verkäufers 9780792334828

Bibliografische Details

• Titel: Stochastic Programming
• Verlag: Springer Netherlands, Springer Netherlands Jul 1995
• Erscheinungsjahr: 1995
• Sprache: Englisch
• ISBN-10: 0792334825
• ISBN-13: 9780792334828
• Einband: Buch
• Zustand: Neu
• Abmessungen: 240B x 161 H x 39 T Millimeter Breite: 240 mm, Höhe: 161 mm, Tiefe: 39 mm
• Gewicht: 1088 Gramm

Über diesen Titel

Inhaltsangabe

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.