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Stochastic linear programs with restricted recourse
(1997)
Stochastic programs with recourse provide an effective modeling paradigm for sequential decision problems with uncertain or noisy data, when uncertainty can be modeled by a discrete set of scenarios. In two-stage problems ...
Computational assessment of distributed decomposition methods for stochastic linear programs
(1998)
Incorporating uncertainty in optimization models gives rise to large, structured mathematical programs. Decomposition procedures are well-suited for parallelization, thus providing a promising venue for solving large ...
A model for estimating pollution emissions for individual economic activities
(1998)
To be effective, environmental policies must be informed by reliable assessments of the impact of economic activities. In turn, such impact assessments require comprehensive information on the pollution profiles of particular ...