Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)

Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)
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Introduction to Stochastic Programming (Springer Series in Operations Analysis and Monetary Engineering) Description

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This growing field includes many disciplines including operations analysis, mathematics and probability. Conversely, it is applicable to a wide range of topics ranging from agriculture to financial planning and industrial engineering to a laptop or computer network. This handbook offers an introduction to stochastic programming suitable for students with fundamental understanding of linear programming, elementary analysis and probability. The authors present an overview of the principal themes and strategies of the object, which helps students develop an intuition about how the model uncertainty into mathematical problems, what uncertainty changes bring to decision generating, and strategies to help manage uncertainty in solving problems. The very first chapters introduce some worked examples of stochastic programming, show how a formal statistical model is built, the properties of stochastic programming and development of fundamental techniques utilized to solve them. The Introduction to Stochastic Programming (Springer Series in Operations Analysis and Financial Engineering)

\n\nIntroduction to Stochastic Programming (Springer Series in Operations Analysis and Monetary Engineering) Ebook

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