SFU Operations
Research Seminar
Welcome to the Web pages of the SFU
Operations Research Seminar Series.
We are associated with:
Our aim is to meet and discuss Operations Research topics.
Regular Meeting time: Thursdays, 3:30pm to 4:30pm
Meeting place:
Room 14-400, SFU Surrey, 14th floor of the Tower.
If you are interested in giving a talk, please contact Tamon Stephen,
tamon at sfu
ca.
Spring
2010
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January
8 **Friday,
12:30** |
The Bottleneck Traveling Salesman Problem and Some Variations
John LaRusic, Simon Fraser
University
M.Sc. Thesis defense (senior supervisor: Abraham Punnen) |
Fall
2009
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December 3 **Thursday, 11:30** |
First-Order Methods for Nuclear Norm Minimization and its
Applications
Hua Zheng, Simon Fraser
University
M.Sc. Thesis defense (senior supervisor: Zhaosong Lu) |
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November 16 SUR 14-400 and IRMACS 10901 |
Gene trees and species trees: parsimony problems
Cedric Chauve,
Simon Fraser University
Abstract:A gene family is a set of genes, present in the genomes of several genomes,possibly in multiple occurrences in some genomes, that all originates from asingle ancestral gene. A gene tree is a binary tree that describes evolutionary relationships between the genes of a same family, in terms of three kinds of events: speciations, duplications and losses. Phylogenomics aims at inferring, from a set of gene trees, a species tree. Here we consider the following NP-complete optimization problem: infer the species tree that minimizes the number of gene duplications. I will present two results: - a description of tractable sets of gene trees (work with J.-P. Doyon and N. El-Mabrouk, Universite de Montreal)- approximation algorithms for computing a parsimonious first speciation, based on edge-cut problems in graphs and hypergraphs (work with A. Ouangraoua and K. Swenson, Universite du Quebec a Montreal) |
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November 2 SUR 14-400 and IRMACS 10901 |
Introduction to multiple objective programming and simplex method for
solving bi-objective programming
Sara Taghipour, Simon Fraser
University
Abstract:In this seminar, main definitions and theorems of multiple objective programming (a linear programming consisting of several objective functions) will be mentioned. Also, solving bi-objective programming will be discussed by extending simplex method for solving these problems.(We assume familiarity with simplex method.) |
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October 26 SUR 14-400 and IRMACS 10900 |
Recent progress in the application of semidefinite
programming to discrete optimization
Miguel Anjos, University of Waterloo
Abstract:The max-cut algorithm of Goemans and Williamson is 15 years old in 2009, and its impact in the area of semidefinite programming has been remarkable. In this talk, I will survey some of the main modelling and algorithmic developments since 1994 in the application of semidefinite programming to discrete optimization problems. I will also highlight promising directions for research in this area. |
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October 5 |
Design in Inverse Problems
Eldad Haber,
University of British Columbia
Abstract:While there was much attention given to solving inverse problems there is a gapin the question of design, that is, the design of experiments for ill-posed problems and the design of regularization functionals. In this talk we will present a framework to attack this problem. We show that it leads to a stochastic bilevel optimization problem and suggest algorithms for its solution. |
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September 16 *Wednesday* **3:30** |
Necessary optimality conditions for bilevel
programming problems
Jane Ye, University of Victoria
Abstract:A bilevel programming problem is a sequence of two optimization problemswhere the constraint region of the upper level problem is determined implicitly by the solution set to the lower level problem. Bilevel programming problems can be used to model many problems in operations research and are also known as the Stackelberg games in economics. In this talk we discuss difficulties of deriving necessary optimality conditions for bilevel programming problems, in particular when the lower level problem is nonconvex. We provide a new necessary optimality condition which is valid under very weak constraint qualifications. |
Archives of 2005-6, 2006-7, 2007-8 and
2008-9
Seminars.
Organizer: Tamon Stephen, e-mail: tamon
at sfu ca.
Modified: January 6th, 2010.