Vue d'ensemble
Mathématiques et Statistiques (Sci) : Line search methods including steepest descent, Newton's (and Quasi-Newton) methods. Trust region methods, conjugate gradient method, solving nonlinear equations, theory of constrained optimization including a rigorous derivation of Karush-Kuhn-Tucker conditions, convex optimization including duality and sensitivity. Interior point methods for linear programming, and conic programming.
Trimestres : Ce cours n’est pas au programme de l’année universitaire 2015-2016.
Chargés de cours : Aucun professeur n’est associé à ce cours pour l’année universitaire 2015-2016.
Prerequisite: Undergraduate background in analysis and linear algebra, with instructor's approval