Northwestern University 1 credit Industrial Engineering & Management Sciences
Constrained and unconstrained nonlinear optimization: Optimality conditions; linesearch and trust-region methods; Newton and quasi-Newton methods; active-set methods; augmented Lagrangian, sequential quadratic programming and interior point methods; convergence theory for numerical algorithm. Prerequisites: Graduate students with an understanding of linear algebra and calculus.
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