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Operations Research Center
Seminars & Events

 

Spring 2002 Seminar Series

February 14

Professor Awi Federgruen
Graduate School of Business
Columbia University

A General Equilibrium Model for Decentralized Supply Chains with Price and Service Competition

February 21

Professor Martin Grötschel
Department of Mathematics
Technische Universitaet, Berlin and Vice President, Konrad-Zuse-Zentrum

Combinatorial Online Optimization

February 28

Professor Laurent El Ghaoui
Department of Electrical Engineering and Computer Sciences
University of California, Berkeley

Convex Optimization and Applications in Classification Problems

March 7

Dr. Maxim Sviridenko
T.J. Watson Research Center
IBM

A 5/8 Approximation Algorithm for the Asymmetric Maximum TSP

March 14

Professor Yinyu Ye
Department of Management Sciences
University of Iowa

On Complexity of Linear Programming

March 21

Dr. Katya Scheinberg
T.J. Watson Research Center
IBM

Solving Convex Quadratic Programming Problems Arising in Support Vector Machine Framework

April 4

Professor Costis Maglaras
Graduate School of Business
Columbia University

Dynamic Pricing for a Multi-Product Make-to-Order Queue

April 11

Dr. Adam Kalai
Department of Mathematics
Massachusetts Institute of Technology

Follow the Leader for Online Algorithms

April 18

Professor John Vande Vate
School of Industrial and System Engineering
Georgia Institute of Technology
Visiting Professor
Massachusetts Institute of Technology

Cross Docking in Load Driven Distribution Systems

April 25

Professor Egon Balas
Graduate School of Industrial Administration
Carnegie Mellon University

On Certain Unions of Polyhedra

May 2

Professor John Tsitsiklis
Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology

Simpler Solutions by Means of Larger Formulations in Dynamic Programming and Supply Chain Management

May 9

Professor Michael Fu
Decision and Information Technologies Department
University of Maryland
Visiting Professor
Massachusetts Institute of Technology

A Large Deviations Analysis of Quantile Estimation with Application to Value at Risk