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GERAD seminar
Towards a factorization-free method for nonlinear optimization via linear least-squares problems
Andrew Lambe – Polytechnique Montréal, Canada
In many large-scale practical problems, Jacobian and Hessian matrices may only be available to an optimizer as linear operators and iterative methods must be used to solve the linear systems. We present recent progress towards the development of a factorization-free method for general nonlinear optimization problems. We will focus on a recently-developed algorithm for linear least-squares problems with linear constraints and show a roadmap for extending the algorithm to nonlinear least-squares problems and general nonlinear optimization problems. We will also present recent numerical results of the linear least-squares algorithm.
Free entrance.
Welcome to everyone!

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