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Items where Author is "Keutchayan, Julien"

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Number of items: 9.

Article

Keutchayan, J., Munger, D., & Gendreau, M. (2020). On the scenario-tree optimal-value error for stochastic programming problems. Mathematics of Operations Research, 45(4), 1572-1595. External link

Keutchayan, J., Gendreau, M., & Saucier, A. (2017). Quality evaluation of scenario-tree generation methods for solving stochastic programming problems. Computational Management Science, 14(3), 333-365. External link

Technical Report

Keutchayan, J., Munger, D., & Gendreau, M. (2017). On the scenario-tree optimal-value error for stochastic programming problems. (Technical Report n° CIRRELT-2017-73). External link

Keutchayan, J., Munger, D., & Gendreau, M. (2017). On the scenario-tree optimal-value error for stochastic programming problems. (Technical Report n° CIRRELT-2017-05). External link

Keutchayan, J., Munger, D., Gendreau, M., & Bastin, F. (2017). A new scenario-tree generation approach for multistage stochastic programming problems based on a demerit criterion. (Technical Report n° CIRRELT-2017-74). External link

Keutchayan, J., Munger, D., & Gendreau, M. (2017). On the Scenario-Tree Optimal-Value Error for Stochastic Programming Problems. (Technical Report n° CIRRELT-2016-05). External link

Keutchayan, J., Gendreau, M., & Saucier, A. (2017). Quality evaluation of scenario-tree generation methods for solving stochastic programming problem. (Technical Report n° CIRRELT-2017-17). External link

Keutchayan, J., Gendreau, M., & Saucier, A. (2016). Quality Evaluation of Scenario-Tree Generation Methods for Solving High-Dimensional Stochastic Programs. (Technical Report n° CIRRELT-2016-46). Unavailable

Ph.D. thesis

Keutchayan, J. (2018). Approximation d'espérances conditionnelles guidée par le problème en optimisation stochastique multi-étapes [Ph.D. thesis, École Polytechnique de Montréal]. Available

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