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Two-Stage Stochastic Programming Problems

1995
In this chapter we consider stochastic programming problems where decisions are made in two stages and the observation of a (vector valued) random variable takes place in between. Such problems are called two-stage stochastic programming problems or stochastic programming with recourse.
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A regularized stochastic decomposition algorithm for two-stage stochastic linear programs

Computational Optimization and Applications, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Stochastic decomposition for risk-averse two-stage stochastic linear programs

Journal of Global Optimization
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Prasad Parab   +2 more
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Risk Aversion in Two-Stage Stochastic Integer Programming

2010
Some recent developments in the area of risk aversion in stochastic integer programming are surveyed. After a discussion of modeling guidelines and resulting mean–risk stochastic integer programs emphasis is placed on structural properties of these optimization problems and on algorithms for their solution. Bibliographical notes conclude the Chapter.
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Stability in two-stage multiobjective stochastic programming

Nonlinear Analysis: Theory, Methods & Applications, 2001
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AN INEXACT TWO-STAGE STOCHASTIC PROGRAMMING MODEL FOR WATER RESOURCES MANAGEMENT UNDER UNCERTAINTY

Civil Engineering and Environmental Systems, 2000
Guohe Huang, D P Loucks
exaly  

Two-Stage Stochastic Programs with Recourse

2001
Francois Louveaux, John R. Birge
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