Stochastic Linear Programming : Models, Theory, and Computation

Peter Kall and János Mayer are distinguished scholars and professors of Operations Research and their research interest is particularly devoted to the area of stochastic optimization. STOCHASTIC LINEAR PROGRAMMING: Models, Theory, and Computation is a definitive presentation and discussion of the th...

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Hovedforfatter: Kall, Peter, 1939-
Format: Livre numérique
Sprog:Anglais
Udgivet: New York, NY : Springer US [20..].
Cham : Springer Nature
Serier:International Series in Operations Research & Management Science 80
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Variante du titre:a
Edition sous un autre format:• Stochastic Linear Programming, Texte imprimé, 9781441936219
• Stochastic Linear Programming, Texte imprimé, 9780387503165
• Stochastic Linear Programming, Texte imprimé, 9780387233857
Indholdsfortegnelse:
  • Basics
  • Introduction
  • Linear Programming Prerequisites
  • Nonlinear Programming Prerequisites
  • Single-stage SLP Models
  • Introduction
  • Models involving Probability Functions
  • Quantile Functions, Value at Risk
  • Models Based on Expectation
  • Models Built with Deviation Measures
  • Modeling Risk and Opportunity
  • Risk Measures
  • Multi-stage SLP Models
  • The General SLP with Recourse
  • The Two-stage SLP
  • The Multi-stage SLP
  • Algorithms
  • Models with Probability Functions
  • Models with Quantile Functions
  • Models Based on Expectation
  • Models with Deviation Measures
  • Two-stage Recourse Problems
  • Multi-stage Recourse Problems
  • Modeling Systems for SLP
  • Bibliography.