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Sanjay Mehrotra

Affiliations: 
Industrial Engineering and Management Sciences Northwestern University, Evanston, IL 
Area:
Industrial Engineering
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"Sanjay Mehrotra"
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Parents

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Donald Goldfarb grad student 1987 Columbia (MathTree)
 (Variants of Karmarkar's Algorithm: Theoretical Complexity and Practical Implementation)

Children

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Muhittin G. Ozevin grad student 2005 Northwestern
Kuo-Ling Huang grad student 2012 Northwestern
Kibaek Kim grad student 2014 Northwestern

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Publications

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Luo F, Mehrotra S. (2020) Distributionally robust optimization with decision dependent ambiguity sets Optimization Letters. 1-30
Bansal M, Mehrotra S. (2019) On solving two-stage distributionally robust disjunctive programs with a general ambiguity set European Journal of Operational Research. 279: 296-307
Luo F, Mehrotra S. (2019) Decomposition algorithm for distributionally robust optimization using Wasserstein metric with an application to a class of regression models European Journal of Operational Research. 278: 20-35
Bansal M, Huang K, Mehrotra S. (2018) Decomposition Algorithms for Two-Stage Distributionally Robust Mixed Binary Programs Siam Journal On Optimization. 28: 2360-2383
Bansal M, Huang K, Mehrotra S. (2018) Tight Second Stage Formulations in Two-Stage Stochastic Mixed Integer Programs Siam Journal On Optimization. 28: 788-819
Hu J, Bansal M, Mehrotra S. (2018) Robust decision making using a general utility set European Journal of Operational Research. 269: 699-714
Huang K, Mehrotra S. (2017) Solution of Monotone Complementarity and General Convex Programming Problems Using a Modified Potential Reduction Interior Point Method Informs Journal On Computing. 29: 36-53
Koc U, Mehrotra S. (2017) Generation of feasible integer solutions on a massively parallel computer using the feasibility pump Operations Research Letters. 45: 652-658
Liu C, Lee C, Chen H, et al. (2016) Stochastic robust mathematical programming model for power system optimization Ieee Transactions On Power Systems. 31: 821-822
Kim K, Mehrotra S. (2015) A two-stage stochastic integer programming approach to integrated staffing and scheduling with application to nurse management Operations Research. 63: 1431-1451
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