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UID:0-8295@eng.ufl.edu
DTSTART;TZID=America/New_York:20260313T104000
DTEND;TZID=America/New_York:20260313T113000
DTSTAMP:20260302T153858Z
URL:https://www.eng.ufl.edu/news-events/events/ise-seminar-jeff-linderoth/
SUMMARY:ISE Seminar: Jeff Linderoth
DESCRIPTION:Jeff Linderoth\, \nHARVEY D. SPRANGLER PROFESSOR\, UNIVERSITY O
 F WISCONSIN-MADISON\n\nTitle: Probing Enhanced Stochastic Programming\n\nA
 bstract:\nWe consider a two-stage stochastic decision problem where the de
 cision-maker has the opportunity to obtain information about the distribut
 ion of the random variables X through a set of discrete actions that we re
 fer to as probing. Specifically\, probing allows the decision-maker to obs
 erve components of a random vector Y that is jointly-distributed with X. W
 e propose a three-stage optimization model for this problem\, wherein the 
 first-stage variables select components of Y to observe\, and decisions in
  subsequent stages must be consistent with the obtained information. In th
 e case that X and Y have finite support\, Goel and Grossmann gave a mixed-
 integer programming formulation of this problem whose size is proportional
  to the square of cardinality of the sample space of the random variables.
  We propose to solve the model using bounds obtained from an information-b
 ased relaxation\, combined with a branching scheme that enforces the consi
 stency of decisions with observed information. The branch-and-bound approa
 ch can naturally be combined with sampling in order to estimate both lower
  and upper bounds on the optimal solution value. We demonstrate the scalab
 ility of our approach against the exact MIP formulation on instances of a 
 stochastic facility location problem.\n\nBio: 	\nJeff Linderoth is the Har
 vey D. Spangler Professor in the department of Industrial and Systems Engi
 neering at the University of Wisconsin-Madison. Prof. Linderoth holds a co
 urtesy appointment in the Computer Sciences department and as a Discovery 
 Fellow at the Wisconsin Institutes of Discovery. Dr. Linderoth received hi
 s Ph.D. degree from the Georgia Institute of Technology in 1998. He was pr
 eviously employed in the Mathematics and Computer Science Division at Argo
 nne National Laboratory\, with the financial products firm of Axioma\, and
  as an Assistant Professor at Lehigh University. His awards include an Ear
 ly Career Award from the Department of Energy\, the SIAM Activity Group on
  Optimization Prize\, and the INFORMS Computing Society (ICS) Prize. He cu
 rrently serves as chairperson of the INFORMS Optimization Society. He 2016
 \, he was elected to membership as an INFORMS Fellow.\n
CATEGORIES:Seminars
LOCATION:100 Williamson Hall\, 1843 Stadium Rd\, Gainesville\, Fl\, 32611\,
  United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1843 Stadium Rd\, Gainesvil
 le\, Fl\, 32611\, United States;X-APPLE-RADIUS=100;X-TITLE=100 Williamson 
 Hall:geo:0,0
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