Introduction to Stochastic programming (2nd edition), Springer verlag, New York
By John R. Birge, F. Louveaux. 2011
519 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/5ac5d5b85c01ec357eef5ef5a0da39277a661364
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Citations in the corpus
- Transmission expansion planning with re-design (2010, methodology): “For example, in [30], the transmission expansion planning problem with security constraints, preventing transmission equipment failure, is set as two-stage stochastic mixed-integer linear program, decomposed by Benders technique and solved by a (multicut) cutting-planes algorithm, [8].”
- An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together? (2016, background): “Natural variability in inputs can be expressed as distributions (Beyer and Sendhoff, 2007; Birge and Louveaux, 2011) and the effect of measurement error in observations when estimating parameters is taken into account by specifying properties of the errors, notably in terms of a likelihood function…”