Introduction to Stochastic Programming
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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
1997.
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Σειρά: | Springer Series in Operations Research and Financial Engineering,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Models
- and Examples
- Uncertainty and Modeling Issues
- Basic Properties
- Basic Properties and Theory
- The Value of Information and the Stochastic Solution
- Solution Methods
- Two-Stage Linear Recourse Problems
- Nonlinear Programming Approaches to Two-Stage Recourse Problems
- Multistage Stochastic Programs
- Stochastic Integer Programs
- Approximation and Sampling Methods
- Evaluating and Approximating Expectations
- Monte Carlo Methods
- Multistage Approximations
- A Case Study
- Capacity Expansion.