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Can I read Stochastic Linear Programming: Models, Theory, and Computation (International Series in Operations Research & Management Science Book 156) on EtoBox?

Stochastic Linear Programming: Models, Theory, and Computation (International Series in Operations Research & Management Science Book 156) by Peter Kall, János Mayer (auth.) is a nonfiction available to read on EtoBox.

What is Stochastic Linear Programming: Models, Theory, and Computation (International Series in Operations Research & Management Science Book 156) about?

This new edition of Stochastic Linear Programming: Models, Theory and Computation has been brought completely up to date, either dealing with or at least referring to new material on models and methods, including DEA with stochastic outputs modeled via constraints on special risk functions (generalizing chance constraints, ICC’s and CVaR constraints), material on Sharpe-ratio, and Asset Liability Management models involving CVaR in a multi-stage setup. To facilitate use as a text, exercises are included throughout the book, and web access is provided to a student version of the authors’ SLP-IOR software. Additionally, the authors have updated the Guide to Available Software, and they have included newer algorithms and modeling systems for SLP. The book is thus suitable as a text for advanced courses in stochastic optimization, and as a reference to the field. From Reviews of the First Edition: "The book presents a comprehensive study of stochastic linear optimization problems and their applications. … The presentation includes geometric interpretation, linear programming duality, and the simplex method in its primal and dual forms. … The authors have made an effort to collect … the

Who reads Stochastic Linear Programming: Models, Theory, and Computation (International Series in Operations Research & Management Science Book 156)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Peter Kall, János Mayer (auth.)
Publisher
Springer Science+Business Media
Published
2011
Language
EN
ISBN
9781441977298
Category
nonfiction
Subjects
Business, Programming, Engineering

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