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Stochastic Models in Operations Research, Vol. II: Stochastic Optimization

Stochastic Models in Operations Research, Vol. II: Stochastic Optimization

By: Daniel P. Heyman, Matthew J. Sobel

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This two-volume set of texts explores the central facts and ideas of stochastic processes, illustrating their use in models based on applied and theoretical investigations. They demonstrate the interdependence of three areas of study that usually receive separate treatments: stochastic processes, operating characteristics of stochastic systems, and stochastic optimization. Comprehensive in its scope, they emphasize the practical importance, intellectual stimulation, and mathematical elegance of stochastic models and are intended primarily as graduate-level texts.

Unabridged republication of the edition published by McGraw-Hill Book Company, New York, Volume 2, 1984.
AvailabilityUsually ships in 24 to 48 hours
ISBN 100486432602
ISBN 139780486432601
Author/EditorDaniel P. Heyman Matthew J. Sobel
FormatBook
Page Count576
Dimensions6 1/8 x 9 1/4

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