Inference in constraint programming is usually based on the deductions generated by individual constraints which are then communicated to other constraints through domain filteri...
Tarik Hadzic, Eoin O'Mahony, Barry O'Sullivan, Mei...
Various stochastic programmingproblemscan be formulated as problems of optimization of an expected value function. Quite often the corresponding expectation function cannot be com...
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...