Approximation algorithms
Scenario Reduction Algorithms in Stochastic Programming
Computational Optimization and Applications
A constant-factor approximation algorithm for the k-median problem
Journal of Computer and System Sciences - STOC 1999
Quantitative Stability in Stochastic Programming: The Method of Probability Metrics
Mathematics of Operations Research
Stability of Multistage Stochastic Programs
SIAM Journal on Optimization
Scenario reduction in stochastic programming with respect to discrepancy distances
Computational Optimization and Applications
Scenario reduction techniques in stochastic programming
SAGA'09 Proceedings of the 5th international conference on Stochastic algorithms: foundations and applications
Computers and Industrial Engineering
Scenario tree generation approaches using K-means and LP moment matching methods
Journal of Computational and Applied Mathematics
Scenario construction and reduction applied to stochastic power generation expansion planning
Computers and Operations Research
Scenario grouping in a progressive hedging-based meta-heuristic for stochastic network design
Computers and Operations Research
Hi-index | 0.00 |
We extend earlier work on scenario reduction by relying directly on Fortet-Mourier metrics instead of using upper bounds given in terms of mass transportation problems. The importance of Fortet-Mourier metrics for quantitative stability of two-stage models is reviewed and some numerical results are also provided.