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2020 Summer: Numerical OptimizationLecture_01 Introduction Lecture_02 Derivative Lecture_03 Bracket Lecture_04 Local Descent Lecture_05 First order 1 Lecture_06 First order 2 Lecture_07 Newton's methods Lecture_08 Quasi-Newton methods Lecture_09 Direct methods Lecture_10 Stochastic methods Lecture_11 Evolutionary methods Lecture_12 Constrained optimization Lecture_13 Sampling plans Lecture_14 Surrogate model Lecture_15 Gaussian Process Regression Lecture_16 Surrogate optimization Lecture_17 Uncertainty Lecture_18 Symbolic Regression |
