论坛 › 『IT教程旧版』 › Convex Optimization 凸优化2020春季学期

1902063249 发表于 2020-9-4 12:49

Convex Optimization 凸优化2020春季学期

课程目录：
├──Books
|   ├──bv_cvxbook.pdf7.97M
|   └──First-order Methods in.pdf7.45M
├──HW
|   └──CVX2020HW1.zip93.43kb
├──Lecture_notes2019Spring
|   └──Lecture_notes2019Spring.zip367.78M
├──Project
|   ├──6G
|   |   ├──Intelligent Reflecting Surface Enhanced Wireless.pdf1.82M
|   |   └──Weighted Sum-Rate Maximization for.pdf890.92kb
|   ├──edgeML
|   |   ├──Fast and Communication Efficient Framework for Distributed Machine Learning.pdf2.25M
|   |   ├──Stochastic Gradient Coding for Straggler.pdf1.09M
|   |   ├──An algorithmic framework for fast federated optimization.pdf2.20M
|   |   └──High-Dimensional Stochastic Gradient Quantization for Communication.pdf1.36M
|   ├──LearnOpt
|   |   ├──learning_to_optimize.pdf908.78kb
|   |   ├──Active Learning for Multi-Objective Optimization.pdf1.55M
|   |   ├──Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement.pdf3.51M
|   |   ├──ADMM-CSNet.pdf5.82M
|   |   ├──Learning Optimal Resource Allocations.pdf950.98kb
|   |   └──Learning Proximal Operator Methods .pdf2.12M
|   ├──Optimization
|   |   ├──DC for sparsity optimization problems.pdf1.09M
|   |   └──Low-Rank Matrix Completion by Riemannian Optimization.pdf1.10M
|   ├──latex_template.zip158.05kb
|   ├──project_cvx.pdf112.26kb
|   └──Ref for Project(Up-to-date).pdf72.21kb
├──Introduction
|   ├──Introduction1.MP4388.45M
|   ├──Introduction2.MP4236.68M
|   ├──Introduction3.MP4138.31M
|   ├──Introduction4.MP4191.72M
|   ├──Introduction_Spring2020.pdf3.28M
|   └──Introduction_Spring2020_note.pdf3.78M
├──ConvexSet
|   ├──Convex Set.pdf479.63kb
|   ├──Convex Set_note.pdf5.03M
|   ├──CVXSet1.MP486.71M
|   ├──CVXSet2.MP4299.63M
|   ├──CVXSet3.MP4278.38M
|   └──CVXSet4.MP4483.62M
├──convexfunctions
|   ├──convexfunctions.pdf320.90kb
|   ├──convexfunctions01.MP4340.64M
|   ├──convexfunctions02.MP4338.99M
|   ├──convexfunctions03.MP4376.73M
|   └──convexfunctions_note.pdf6.13M
├──convexproblems
|   ├──convexproblems.pdf606.46kb
|   ├──convexproblems01.MP4424.23M
|   ├──convexproblems02.MP4789.75M
|   ├──convexproblems03.MP4587.33M
|   ├──convexproblems04.MP4424.81M
|   └──convexproblems_note.pdf14.30M
├──Lagrangeduality
|   ├──Lagrangeduality.pdf206.16kb
|   ├──Lagrangeduality01.MP4229.95M
|   ├──Lagrangeduality02.MP4130.94M
|   ├──Lagrangeduality03.MP4572.77M
|   └──Lagrangeduality_note.pdf4.51M
├──DCP
|   ├──CVXDCP.MP4368.66M
|   ├──CVXDCP.pdf598.06kb
|   └──CVXDCP_note.pdf1.29M
├──grad_descent_unconstrained
|   ├──grad_descent_unconstrained-note.pdf47.98M
|   ├──grad_descent_unconstrained.pdf4.35M
|   ├──grad_descent_unconstrained01.MP4381.22M
|   ├──grad_descent_unconstrained02.MP4570.76M
|   ├──grad_descent_unconstrained03.MP4360.24M
|   └──StrongConvexSmooth.pdf339.66kb
├──grad_descent_constrained
|   ├──grad_descent_constrained-note.pdf26.60M
|   ├──grad_descent_constrained.pdf2.99M
|   ├──grad_descent_constrained01.MP4210.04M
|   ├──grad_descent_constrained02.MP4246.69M
|   └──grad_descent_constrained03.MP4140.84M
├──subgradient_methods
|   ├──subgradient_methods-note.pdf14.87M
|   ├──subgradient_methods.pdf3.00M
|   ├──subgradient_methods01.MP4280.69M
|   ├──subgradient_methods02.MP4303.34M
|   └──subgradient_methods03.MP4181.10M
├──mirror_descent
|   ├──mirror_descent-note.pdf223.55M
|   ├──mirror_descent.pdf9.88M
|   ├──mirror_descent01.MP4493.71M
|   └──mirror_descent02.MP4300.62M
├──proximal_gradient
|   ├──proximal_gradient-note.pdf33.35M
|   ├──proximal_gradient.pdf32.35M
|   ├──proximal_gradient01.MP4409.32M
|   └──proximal_gradient02.MP4217.20M
├──accelerated_gradient
|   ├──accelerated_gradient-note.pdf15.45M
|   ├──accelerated_gradient.pdf4.00M
|   ├──accelerated_gradient01.MP4353.48M
|   └──accelerated_gradient02.MP4284.79M
├──smoothing
|   ├──smoothing-note.pdf5.47M
|   ├──smoothing.MP4396.42M
|   └──smoothing.pdf1.50M
├──dual_method
|   ├──dual_method-note.pdf3.86M
|   ├──dual_method.pdf1.73M
|   ├──dual_method01.MP4264.94M
|   └──dual_method02.MP4365.17M
├──ADMM
|   ├──ADMM-note.pdf2.40M
|   ├──ADMM.pdf743.23kb
|   ├──ADMM01.MP499.62M
|   └──ADMM02.MP4438.89M
├──stochastic_gradient
|   ├──stochastic_gradient-note.pdf5.27M
|   ├──stochastic_gradient.pdf2.19M
|   ├──stochastic_gradient01.MP4170.83M
|   └──stochastic_gradient02.MP4227.16M
├──quasi_Newton
|   ├──quasi_Newton-note.pdf10.48M
|   ├──quasi_Newton.pdf3.92M
|   ├──quasi_Newton01.MP4134.53M
|   └──quasi_Newton02.MP4177.18M
├──Applications
|   ├──wireless_networks_I.pdf3.58M
|   ├──wireless_networks_II.pdf2.77M
|   ├──edgeAI.pdf9.25M
|   └──RIS_Yuanming.pdf2.83M
├──Syllabus.pdf75.84kb
└──凸优化2020_学习指南.pdf71.46kb
**** Hidden Message *****

1738121600 发表于 2020-9-4 12:50

谢谢分享！！！

天雨 发表于 2020-9-4 13:15

感谢楼主分享谢谢了学习一下

kanpic 发表于 2020-9-4 13:18

nvex Optimization 凸优化2020春季学期

yyj 发表于 2020-9-4 14:12

谢谢分享。。。。。。

muyangf 发表于 2020-9-4 14:51

muyangf，如果您要查看本帖隐藏内容请回复

buyediwang 发表于 2020-9-4 14:54

Convex Optimization 凸优化2020春季学期

gxlzabc 发表于 2020-9-4 15:31

Convex Optimization 凸优化2020春季学期

hackrx 发表于 2020-9-4 16:16

Convex Optimization 凸优化2020春季学期

wangjianming 发表于 2020-9-4 16:41

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