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Can I read Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering) on EtoBox?
Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering) by John R. Birge, François Louveaux is a nonfiction available to read on EtoBox.
What is Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering) about?
The aim of stochastic programming is to find optimal decisions in problems which involve uncertain data. This field is currently developing rapidly with contributions from many disciplines including operations research, mathematics, and probability. Conversely, it is being applied in a wide variety of subjects ranging from agriculture to financial planning and from industrial engineering to computer networks. This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability. The authors aim to present a broad overview of the main themes and methods of the subject. Its prime goal is to help students develop an intuition on how to model uncertainty into mathematical problems, what uncertainty changes bring to the decision process, and what techniques help to manage uncertainty in solving the problems. The first chapters introduce some worked examples of stochastic programming and demonstrate how a stochastic model is formally built. Subsequent chapters develop the properties of stochastic programs and the basic solution techniques used to solve them. Three chapters cover approximati
Who reads Introduction to Stochastic Programming (Springer Series in Operations Research and Financial Engineering)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- John R. Birge, François Louveaux
- Publisher
- Springer
- Published
- 1997
- Language
- EN
- ISBN
- 9780387982175
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Business
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