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Improving aggregation bounds for two-stage stochastic programs
Operations Research Letters, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rosa, Charles H., Takriti, Samer
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Risk Aversion in Two-Stage Stochastic Integer Programming
2010Some 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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Solving two-stage stochastic integer programs via representation learning
Neural NetworksSolving stochastic integer programs (SIPs) is extremely intractable due to the high computational complexity. To solve two-stage SIPs efficiently, we propose a conditional variational autoencoder (CVAE) for scenario representation learning. A graph convolutional network (GCN) based VAE embeds scenarios into a low-dimensional latent space, conditioned ...
Yaoxin Wu +3 more
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Stochastic decomposition for risk-averse two-stage stochastic linear programs
Journal of Global OptimizationzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Prasad Parab +2 more
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Stability in two-stage multiobjective stochastic programming
Nonlinear Analysis: Theory, Methods & Applications, 2001openaire +1 more source
Detection methods for stochastic gravitational-wave backgrounds: a unified treatment
Living Reviews in Relativity, 2017Joseph D Romano, Neil Cornish
exaly
Three-Dimensional Super-Resolution Imaging by Stochastic Optical Reconstruction Microscopy
Science, 2008Bo Huang, Wenqin Wang, Mark Bates
exaly
Stochastic Gravity: Theory and Applications
Living Reviews in Relativity, 2008Bei Lok Hu, Enric Verdaguer
exaly

