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PC
2000
160views Management» more  PC 2000»
14 years 11 months ago
Parallel algorithms to solve two-stage stochastic linear programs with robustness constraints
In this paper we present a parallel method for solving two-stage stochastic linear programs with restricted recourse. The mathematical model considered here can be used to represe...
Patrizia Beraldi, Lucio Grandinetti, Roberto Musma...
ORL
2008
115views more  ORL 2008»
14 years 10 months ago
On the convergence of stochastic dual dynamic programming and related methods
We discuss the almost-sure convergence of a broad class of sampling algorithms for multi-stage stochastic linear programs. We provide a convergence proof based on the finiteness o...
Andrew B. Philpott, Z. Guan
AAAI
1997
15 years 20 days ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
ICALP
2009
Springer
15 years 11 months ago
Rate-Based Transition Systems for Stochastic Process Calculi
A variant of Rate Transition Systems (RTS), proposed by Klin and Sassone, is introduced and used as the basic model for defining stochastic behaviour of processes. The transition r...
Rocco De Nicola, Diego Latella, Michele Loreti, Mi...
ATAL
2008
Springer
15 years 1 months ago
An approach to online optimization of heuristic coordination algorithms
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
Jumpol Polvichai, Paul Scerri, Michael Lewis