AdvOL Student Seminars and Defences
Joe Guan, January 23, 2018, 15:30-16:00, ITB 201
Speaker:   Joe Guan

Title:  Geometric Aspects of Combinatorial Optimization
 
AdvOL Optimization Seminars
Antoine Deza, January 23, 2018, 16:30-17:30, ITB 201
Speaker:   Antoine Deza
Department of Computing and Software
McMaster University

Title:  On lattice polytopes, convex matroid optimization, and degree sequences of hypergraphs
Read more...
 
Fields Institute Industrial Optimization Seminar, January 16, 2018
Speakers:   Paul Ayers (McMaster University)
Jeffrey Kelly (Industrial Algorithms)

On the first Tuesday of each month, the Industrial Optimization Seminar is held at the Fields Institute. See the seminar series website for further information.
 
Home arrow Seminars arrow Invited seminars arrow Monica Cojocaru, February 25, 2014, 16:30-17:30, ITB 201
Friday, 23 February 2018
 
 
Main Menu
Home
People
Publications
Software
Events
Awards
Photogallery
Internal pages
Latest Theses
File Icon Novel Stochastic Programming Formulations for Assemble-to-Order Systems
File Icon Computational Determination of the Largest Lattice Polytope Diameter
File Icon Computational Framework for the Generalized Berge Sorting Conjecture
Latest Reports
Visitors by region
Totals Top 20
 60 % Unknown
 14 % Commercial
 9 % networks
 6 % Canada
 3 % Germany
 2 % Russia
 2 % China
 < 1.0 % Brazil
 < 1.0 % Educational
 < 1.0 % United Kingdom
 < 1.0 % Ukraine
 < 1.0 % Poland
 < 1.0 % 
 < 1.0 % Italy
 < 1.0 % France
 < 1.0 % Netherlands
 < 1.0 % Japan
 < 1.0 % India
 < 1.0 % Australia
 < 1.0 % Organization

Visitors: 5342617
Monica Cojocaru, February 25, 2014, 16:30-17:30, ITB 201
Speaker:   Monica Cojocaru
Department of Mathematics and Statistics
University of Guelph

Title:  Generalized Nash games - computing solutions

We present a brief introduction to generalized Nash games. These are Nash games where the players' strategy sets vary with the choice of strategy. Among the generic formulation of this class, we distinguish the GN games with shared constraints. Allowing for shared constraints satisfied by all players simplifies to some degree the complexity of solving a GN. We present in this talk a solution method for solving GN with shared constraints, challenges in the current research on the topic and models where this class of games arises naturally.
 
< Prev   Next >
McMaster University
McMaster University
Faculty of Engineering
Faculty of Engineering
Faculty of Science
Faculty of Science
Computing & Software
Computing & Software
Comput. Eng. & Sci.

School Website >>>


Latest Publications
Publication Downloads
Error cannot find GD extension
 
Top!
Top!