论坛元老
- 威望
- 108
- 贡献
- 170
- 热心值
- 8
- 金币
- 47566
- 注册时间
- 2020-8-31
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课程目录：
├──Books
| ├──bv_cvxbook.pdf 7.97M
| └──First-order Methods in.pdf 7.45M
├──HW
| └──CVX2020HW1.zip 93.43kb
├──Lecture_notes2019Spring
| └──Lecture_notes2019Spring.zip 367.78M
├──Project
| ├──[1]6G
| | ├──[6G_TWC20]Intelligent Reflecting Surface Enhanced Wireless.pdf 1.82M
| | └──[6G_TWC20]Weighted Sum-Rate Maximization for.pdf 890.92kb
| ├──[2]edgeML
| | ├──[JMLR20]Fast and Communication Efficient Framework for Distributed Machine Learning.pdf 2.25M
| | ├──[JSAIT20]Stochastic Gradient Coding for Straggler.pdf 1.09M
| | ├──[Martin_arXiv20]An algorithmic framework for fast federated optimization.pdf 2.20M
| | └──[TSP20]High-Dimensional Stochastic Gradient Quantization for Communication.pdf 1.36M
| ├──[3]LearnOpt
| | ├──[ICLR17_Li]learning_to_optimize.pdf 908.78kb
| | ├──[JMLR16]Active Learning for Multi-Objective Optimization.pdf 1.55M
| | ├──[JSAC20]Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement.pdf 3.51M
| | ├──[PAMI20_Xu]ADMM-CSNet.pdf 5.82M
| | ├──[TSP19_Eisen]Learning Optimal Resource Allocations.pdf 950.98kb
| | └──[TSP20]Learning Proximal Operator Methods .pdf 2.12M
| ├──[4]Optimization
| | ├──[MP17]DC for sparsity optimization problems.pdf 1.09M
| | └──[SIAM13]Low-Rank Matrix Completion by Riemannian Optimization.pdf 1.10M
| ├──latex_template.zip 158.05kb
| ├──project_cvx.pdf 112.26kb
| └──Ref for Project(Up-to-date).pdf 72.21kb
├──[01]Introduction
| ├──Introduction1.MP4 388.45M
| ├──Introduction2.MP4 236.68M
| ├──Introduction3.MP4 138.31M
| ├──Introduction4.MP4 191.72M
| ├──Introduction_Spring2020.pdf 3.28M
| └──Introduction_Spring2020_note.pdf 3.78M
├──[02]ConvexSet
| ├──Convex Set.pdf 479.63kb
| ├──Convex Set_note.pdf 5.03M
| ├──CVXSet1.MP4 86.71M
| ├──CVXSet2.MP4 299.63M
| ├──CVXSet3.MP4 278.38M
| └──CVXSet4.MP4 483.62M
├──[03]convexfunctions
| ├──convexfunctions.pdf 320.90kb
| ├──convexfunctions01.MP4 340.64M
| ├──convexfunctions02.MP4 338.99M
| ├──convexfunctions03.MP4 376.73M
| └──convexfunctions_note.pdf 6.13M
├──[04]convexproblems
| ├──convexproblems.pdf 606.46kb
| ├──convexproblems01.MP4 424.23M
| ├──convexproblems02.MP4 789.75M
| ├──convexproblems03.MP4 587.33M
| ├──convexproblems04.MP4 424.81M
| └──convexproblems_note.pdf 14.30M
├──[05]Lagrangeduality
| ├──Lagrangeduality.pdf 206.16kb
| ├──Lagrangeduality01.MP4 229.95M
| ├──Lagrangeduality02.MP4 130.94M
| ├──Lagrangeduality03.MP4 572.77M
| └──Lagrangeduality_note.pdf 4.51M
├──[06]DCP
| ├──CVXDCP.MP4 368.66M
| ├──CVXDCP.pdf 598.06kb
| └──CVXDCP_note.pdf 1.29M
├──[07]grad_descent_unconstrained
| ├──grad_descent_unconstrained-note.pdf 47.98M
| ├──grad_descent_unconstrained.pdf 4.35M
| ├──grad_descent_unconstrained01.MP4 381.22M
| ├──grad_descent_unconstrained02.MP4 570.76M
| ├──grad_descent_unconstrained03.MP4 360.24M
| └──StrongConvexSmooth.pdf 339.66kb
├──[08]grad_descent_constrained
| ├──grad_descent_constrained-note.pdf 26.60M
| ├──grad_descent_constrained.pdf 2.99M
| ├──grad_descent_constrained01.MP4 210.04M
| ├──grad_descent_constrained02.MP4 246.69M
| └──grad_descent_constrained03.MP4 140.84M
├──[09]subgradient_methods
| ├──subgradient_methods-note.pdf 14.87M
| ├──subgradient_methods.pdf 3.00M
| ├──subgradient_methods01.MP4 280.69M
| ├──subgradient_methods02.MP4 303.34M
| └──subgradient_methods03.MP4 181.10M
├──[10]mirror_descent
| ├──mirror_descent-note.pdf 223.55M
| ├──mirror_descent.pdf 9.88M
| ├──mirror_descent01.MP4 493.71M
| └──mirror_descent02.MP4 300.62M
├──[11]proximal_gradient
| ├──proximal_gradient-note.pdf 33.35M
| ├──proximal_gradient.pdf 32.35M
| ├──proximal_gradient01.MP4 409.32M
| └──proximal_gradient02.MP4 217.20M
├──[12]accelerated_gradient
| ├──accelerated_gradient-note.pdf 15.45M
| ├──accelerated_gradient.pdf 4.00M
| ├──accelerated_gradient01.MP4 353.48M
| └──accelerated_gradient02.MP4 284.79M
├──[13]smoothing
| ├──smoothing-note.pdf 5.47M
| ├──smoothing.MP4 396.42M
| └──smoothing.pdf 1.50M
├──[14]dual_method
| ├──dual_method-note.pdf 3.86M
| ├──dual_method.pdf 1.73M
| ├──dual_method01.MP4 264.94M
| └──dual_method02.MP4 365.17M
├──[15]ADMM
| ├──ADMM-note.pdf 2.40M
| ├──ADMM.pdf 743.23kb
| ├──ADMM01.MP4 99.62M
| └──ADMM02.MP4 438.89M
├──[16]stochastic_gradient
| ├──stochastic_gradient-note.pdf 5.27M
| ├──stochastic_gradient.pdf 2.19M
| ├──stochastic_gradient01.MP4 170.83M
| └──stochastic_gradient02.MP4 227.16M
├──[17]quasi_Newton
| ├──quasi_Newton-note.pdf 10.48M
| ├──quasi_Newton.pdf 3.92M
| ├──quasi_Newton01.MP4 134.53M
| └──quasi_Newton02.MP4 177.18M
├──[18]Applications
| ├──[1]wireless_networks_I.pdf 3.58M
| ├──[1]wireless_networks_II.pdf 2.77M
| ├──[2]edgeAI.pdf 9.25M
| └──[3]RIS_Yuanming.pdf 2.83M
├──Syllabus.pdf 75.84kb
└──凸优化2020_学习指南.pdf 71.46kb
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发表于 2020-9-4 12:49
