Results 231 to 240 of about 22,233,048 (267)
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Asymptotic Results of Stochastic Decomposition for Two-Stage Stochastic Quadratic Programming

SIAM Journal on Optimization, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Junyi Liu, Suvrajeet Sen
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Programmed Control of Two-Stage Stochastic Production Systems

Automation and Remote Control, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Stochastic Decomposition for Two-Stage Stochastic Linear Programs with Random Cost Coefficients

INFORMS Journal on Computing, 2021
Stochastic decomposition (SD) has been a computationally effective approach to solve large-scale stochastic programming (SP) problems arising in practical applications. By using incremental sampling, this approach is designed to discover an appropriate sample size for a given SP instance, thus precluding the need for either scenario reduction or ...
Harsha Gangammanavar   +2 more
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An ADMM algorithm for two-stage stochastic programming problems

Annals of Operations Research, 2019
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Sebastián Arpón   +2 more
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Two Stage Stochastic Linear Programs

1996
Over the past several decades, linear programming (LP) has established itself as one of the most fundamental tools for planning. Its applications have become routine in several disciplines including those within engineering, business, economics, environmental studies and many others.
Julia L. Higle, Suvrajeet Sen
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Deviation Measures in Linear Two-Stage Stochastic Programming

Mathematical Methods of Operations Research, 2005
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Improving aggregation bounds for two-stage stochastic programs

Operations Research Letters, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Charles H. Rosa, Samer Takriti
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Limited recourse in two-stage stochastic linear programs

Journal of Information and Optimization Sciences, 2003
In several real-world applications, modelled by two-stage stochastic problems, first and second-stage decisions (or some of their components) represent identical variables of the problem that is modelled. In these cases an appropriate solution of the problem might require that the second-stage decisions do not differ substantially from the ...
P. BERALDI   +3 more
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Risk-Averse Two-Stage Stochastic Program with Distributional Ambiguity

Operations Research, 2018
In this paper, we develop a risk-averse two-stage stochastic program (RTSP) that explicitly incorporates the distributional ambiguity covering both discrete and continuous distributions. We formulate RTSP from the perspective of distributional robustness by hedging against the worst-case distribution within an ambiguity set and considering the ...
Ruiwei Jiang, Yongpei Guan
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A two-stage stochastic programming model for electric energy producers

Computers & Operations Research, 2008
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Patrizia Beraldi   +2 more
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