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Séminaire du GERAD : Towards a factorization-free method for nonlinear optimization via linear least-squares problems

Séminaire du GERAD : Towards a factorization-free method for nonlinear optimization via linear least-squares problems

Titre : Towards a factorization-free method for nonlinear optimization via linear least-squares problems

Conférencier : 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.

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Entrée gratuite.
Bienvenue à tous!

Date

Mercredi 9 août 2017
Débute à 11h00

Prix

gratuit

Contact

Lieu

Université de Montréal - Pavillon André-Aisenstadt
2920, chemin de la Tour
Montréal
QC
Canada
H3T 1N8
514 343-6111
4488

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