Stochastic Linear Programming
Todaymanyeconomists, engineers and mathematicians are familiar with linear programming and are able to apply it. This is owing to the following facts: during the last 25 years efficient methods have been developed; at the same time sufficient computer capacity became available; finally, in many diff...
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Format: | eBook |
Language: | English |
Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1976, 1976
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Edition: | 1st ed. 1976 |
Series: | Ökonometrie und Unternehmensforschung Econometrics and Operations Research
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Subjects: | |
Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 0. Prerequisites
- 1. Linear Programming.
- 2. Nonlinear Programming
- 3. Measure Theory and Probability Theory
- I. Introduction
- II. Distribution Problems
- 1. The General Case
- 2. Special Problems
- III. Two Stage Problems
- 1. The General Case
- 2. The Fixed Recourse Case
- 3. Complete Fixed Recourse
- 4. Simple Recourse
- 5. Computational Remarks
- 6. Another Approach to Two Stage Programming
- IV. Chance Constrained Programming
- 1. Convexity Statements
- 2. Relationship between Chance Constrained Programs and Two Stage Problems
- References