Vue d'ensemble
Math茅matiques 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鈥檈st pas au programme de l鈥檃nn茅e universitaire 2015-2016.
Charg茅s de cours : Aucun professeur n鈥檈st associ茅 脿 ce cours pour l鈥檃nn茅e universitaire 2015-2016.
Prerequisite: Undergraduate background in analysis and linear algebra, with instructor's approval