| Stochastic Programming 1995 Edition Contributor(s): Prékopa, András (Author) |
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ISBN: 0792334825 ISBN-13: 9780792334828 Publisher: Springer OUR PRICE: $237.49 Product Type: Hardcover Published: July 1995 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | Programming - General - Mathematics | Linear & Nonlinear Programming - Mathematics | Probability & Statistics - General |
| Dewey: 519.7 |
| LCCN: 95010779 |
| Series: Monographiae Biologicae |
| Physical Information: 1.31" H x 6.14" W x 9.21" (2.30 lbs) 600 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |