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David Morton — Models and Algorithms for Multi-stage Stochastic Programming

April 8 @ 3:30 pm - 4:30 pm

Abstract: We consider two classes of multi-stage stochastic linear programs (MSLPs) that lend themselves to solution by stochastic dual dynamic programming (SDDP). First, we consider a distributionally robust MSLP. Here, the specific realizations in each stage are fixed, and distributional robustness is with respect to the probability mass function governing those realizations. Second, we consider a class of partially observable MSLPs. In both cases, we describe a computationally tractable variant of SDDP to solve the model. This is joint work with Oscar Dowson, Daniel Duque, and Bernardo Pagnoncelli.

Bio: David Morton is the David A. and Karen Richards Sachs Professor and Department Chair of Industrial Engineering & Management Sciences at Northwestern University. He received his PhD in Operations Research from Stanford University. He was a Fulbright Research Scholar at Charles University in Prague, a National Research Council Postdoctoral Fellow in the Operations Research Department at the Naval Postgraduate School, and is an INFORMS Fellow.

Details

Date:
April 8
Time:
3:30 pm - 4:30 pm
Event Category:

Organizer

Berkeley IEOR
Website:
https://coeieor.wpengine.com

Venue

George B. Dantzig Auditorium – 1174 Etcheverry Hall
Etcheverry Hall
Berkeley, CA 94720 United States
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Phone:
510-642-6222