[01]1 Logistics & Introduction, Vectors, Matrices, Functions, and Linear Alg 1
[02]2 Vectors, Matrices, Functions, and Linear Algebra review 1.zh_en
[03]3 Vectors, Matrices, Functions, and Linear Algebra review 1.zh_en
[04]4 Symmetric matrices, PSD matrices, and PCA 1.zh_en
[05]5 Singular Value Decomposition 1.zh_en
[06]6 Singular Value Decomposition, Least Squares and variants 1.zh_en
[07]7 Least Squares and Variants 1.zh_en
[08]8 Convex sets and functions 1.zh_en
[09]9 Convex sets and functions cont 1.zh_en
[10]10 Convex conjugate duality 1.zh_en
[11]11 Convex optimization problems, Lagrange 1.zh_en
[12]12 Duality in convex optimization, Weak&Strong Duality 1.zh_en
[13]13 KKT conditions, Slaters condition 1.zh_en
[14]14 Linear programming 1.zh_en
[15]15 LP, QP, QCQP, duality 1.zh_en
[16]16 LP, QP, QCQP, GP, duality 1.zh_en
[17]18 QCQP, SOCP, Support Vector Machines SVM 1.zh_en
[18]19 Geometric programming GP 1.zh_en
[20]21 SDP, SDP duality 1.zh_en
[21]22 SDP examples 1.zh_en
[22]23 SDP Ex, Algs for unconstrained min 1.zh_en
[23]24 Descent methods for unconstrainted opt 1.zh_en
[24]25 Descent methods & Newtons method 1.zh_en
[25]26 Newtons method, steepest descent, conjugate gradient method 1
[26]27 Barrier methods for constrained optimization 1.zh_en
[27]28 Class review 1.zh_en
