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This short series of lectures gives an overview of the most-commonly used numerical algorithms for unconstrained and constrained optimization over continuous variables. This includes line-search and trust-region methods, quasi-Newton methods, active-sets method for quadratic programming, sequential-quadratic programming, and interior point methods. The goal is to give some intuitive understanding of the methods without diving deep into theory. Host: CNLS |