Articles liés à Stochastic Programming

Stochastic Programming - Couverture rigide

Prékopa, András

 
9780792334828: Stochastic Programming
Couverture rigide
ISBN 10 : 0792334825 ISBN 13 : 9780792334828
Editeur : Kluwer Academic Publishers, 1995

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Prof. András Prékopa is a Professor at Rutgers University in the Department of Statistics. Prof. János Mayer is a Professor at University of Zurich in the Department of Business Adminstration. Prof. Beáta Strazicky is currently retired but was a Professor at Szent István University. Prof. István Deák is a Professor at Corvinus University of Budapest in the Department of Computer Science. János Hoffer works at Allianz Hungária Insurance Company in the IT Quality Assurance Section. Ágoston Németh works in Ex-Lh Ltd. Béla Potecz is retired but previously worked for MAVIR Hungarian Independent Transmission Operator Company Ltd.

À propos de la quatrième de couverture

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Kluwer Academic Publishers
Date d'édition
1995
Langue
anglais
ISBN 10 
0792334825
ISBN 13 
9780792334828
Reliure
Relié
Nombre de pages
600
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