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Computational study with Damped-Broyden methods for unconstrained optimization


Aug 15, 2016   03:30 PM — 05:00 PM

Mehiddin Al-Baali Professor, Department of Mathematics and Statistics, Sultan Qaboos University, Oman

Recently, we have extended the damped-technique in the modified BFGS method of Powell for constrained optimization to the Broyden family of quasi-Newton methods for unconstrained optimization. Appropriate choices for the damped-parameter will be suggested, which maintain the convergence property of a restricted Broyden family of methods and enforce convergence of divergent methods. These properties will be illustrated on simple and general problems. It will be shown that the proposed damped choices improve the performance of most quasi-Newton methods substantially (or significantly) in several cases.

This seminar will give you the opportunity to meet the speaker and all the researchers in attendance while enjoying drinks and snacks. We would highly appreciate if you could confirm your attendance INDICATING YOUR FULL NAME.

Free entrance.
Welcome to everyone!

Miguel F. Anjos organizer


Room 4488
André-Aisenstadt Building
Université de Montréal Campus
2920, chemin de la Tour Montréal QC H3T 1J4 Canada

Associated organizations

Canada Research Chair in Discrete Nonlinear Optimization in Engineering