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课程目录：
, n+ R7 |/ i8 k' `- n├──Books ; ` D/ z r5 ?4 g3 I5 a7 k/ h/ q
| ├──bv_cvxbook.pdf 7.97M
, V7 H# d ^. |; m) `, ?) C" l| └──First-order Methods in.pdf 7.45M4 ^" s* Y B* G' V4 ?
├──HW 5 @0 w1 a! ?" ~0 t( @- s
| └──CVX2020HW1.zip 93.43kb
: W* s' G+ [3 t9 p├──Lecture_notes2019Spring 7 x; C9 M- p: n5 m) u
| └──Lecture_notes2019Spring.zip 367.78M
( L: G. [$ `6 [: r V! I├──Project , E9 R: y- k) V! h1 V7 ]
| ├──[1]6G
* P5 \/ h" x6 T# H/ J2 y# A# ~| | ├──[6G_TWC20]Intelligent Reflecting Surface Enhanced Wireless.pdf 1.82M# M ?3 J }, s J
| | └──[6G_TWC20]Weighted Sum-Rate Maximization for.pdf 890.92kb
/ _* V" w) D6 a* k8 I9 S D| ├──[2]edgeML 7 r9 r: l9 {0 Z- H! v$ Z
| | ├──[JMLR20]Fast and Communication Efficient Framework for Distributed Machine Learning.pdf 2.25M
/ f* `: D( D. T3 q- J0 i- B| | ├──[JSAIT20]Stochastic Gradient Coding for Straggler.pdf 1.09M3 X# ~/ J$ {7 x9 ?5 W5 O1 H' ~
| | ├──[Martin_arXiv20]An algorithmic framework for fast federated optimization.pdf 2.20M0 c8 s! F! W1 K- m4 P" z
| | └──[TSP20]High-Dimensional Stochastic Gradient Quantization for Communication.pdf 1.36M
! ]% y j5 D9 P8 r| ├──[3]LearnOpt
' t _3 }% w* E& c| | ├──[ICLR17_Li]learning_to_optimize.pdf 908.78kb4 y: }- c+ o4 Y- v3 v: y
| | ├──[JMLR16]Active Learning for Multi-Objective Optimization.pdf 1.55M
1 {( M# l# m$ p/ o' K| | ├──[JSAC20]Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement.pdf 3.51M2 Q% H' ~' v7 ?9 y: H; S
| | ├──[PAMI20_Xu]ADMM-CSNet.pdf 5.82M, _5 K# d8 h; {' L0 x
| | ├──[TSP19_Eisen]Learning Optimal Resource Allocations.pdf 950.98kb
, [+ ]; t0 g4 W. L; e| | └──[TSP20]Learning Proximal Operator Methods .pdf 2.12M
3 K' n( V0 ^, }3 O: |- J| ├──[4]Optimization + C/ l" @! ~) k
| | ├──[MP17]DC for sparsity optimization problems.pdf 1.09M
: B, _2 L2 G- I) i* y& U: b| | └──[SIAM13]Low-Rank Matrix Completion by Riemannian Optimization.pdf 1.10M
3 q( h3 g* h e% _| ├──latex_template.zip 158.05kb
9 c9 i" b, \# ~7 H# A| ├──project_cvx.pdf 112.26kb
$ y) E1 F" u- |# a# d* n7 |$ X8 o| └──Ref for Project(Up-to-date).pdf 72.21kb% D/ n* \/ M6 J1 j+ d
├──[01]Introduction 0 z, E5 e* |4 T+ U7 i
| ├──Introduction1.MP4 388.45M% E x1 a4 M# s3 d
| ├──Introduction2.MP4 236.68M
' R3 E- N5 H; G/ s7 ]% K2 ^+ z| ├──Introduction3.MP4 138.31M4 b3 X, T! R% A2 a* n
| ├──Introduction4.MP4 191.72M7 A) O+ R; S* {" R) y. c
| ├──Introduction_Spring2020.pdf 3.28M; p' ^" c4 m; b2 Z5 B7 a
| └──Introduction_Spring2020_note.pdf 3.78M$ Y/ g h# _; }2 L6 j5 ^
├──[02]ConvexSet 6 V( _; S6 G j7 ~$ d2 L/ F) q
| ├──Convex Set.pdf 479.63kb
# h! t2 `5 h3 I5 u4 l) M| ├──Convex Set_note.pdf 5.03M
/ A/ t+ l( q. v; g: s| ├──CVXSet1.MP4 86.71M
* T! c3 x9 G4 y. P4 u0 W| ├──CVXSet2.MP4 299.63M
+ e/ C- p. n. _& u/ z& ]# j% Z| ├──CVXSet3.MP4 278.38M0 ~" U( k( P# h
| └──CVXSet4.MP4 483.62M
4 v1 c+ J1 o1 l1 \4 ?├──[03]convexfunctions
$ B8 s# ]# z0 S9 b1 z5 B| ├──convexfunctions.pdf 320.90kb3 C# z* s! v) I& q4 @0 M
| ├──convexfunctions01.MP4 340.64M
7 G* f. Y& Q. Z! l) G, k| ├──convexfunctions02.MP4 338.99M7 @& n7 a: J! Q5 G9 I" l. R* ^
| ├──convexfunctions03.MP4 376.73M: E* q- Y! i, c! Y: K
| └──convexfunctions_note.pdf 6.13M
* L8 ]1 Y$ i* i: ]3 a├──[04]convexproblems 7 B! ?. l c h- w S9 N9 m
| ├──convexproblems.pdf 606.46kb' K" E2 l( i$ y+ p
| ├──convexproblems01.MP4 424.23M" ~9 \; g2 d9 j+ t$ J6 Z$ B
| ├──convexproblems02.MP4 789.75M
' E! _/ M: J8 _" W2 R. M| ├──convexproblems03.MP4 587.33M
) p/ h8 {# s2 g| ├──convexproblems04.MP4 424.81M9 _, D4 m8 B/ ^- r; {
| └──convexproblems_note.pdf 14.30M
9 R# V( \8 J# x- o; P1 c9 H├──[05]Lagrangeduality
$ P" |. t' O" n8 V/ W, m7 H, J8 ^| ├──Lagrangeduality.pdf 206.16kb' \, A. s4 \% o7 Y
| ├──Lagrangeduality01.MP4 229.95M
' C( ^4 _, n2 }; o| ├──Lagrangeduality02.MP4 130.94M! ^2 y) s* t, k
| ├──Lagrangeduality03.MP4 572.77M# h# Y j) M8 U7 L# C" N6 b. Z
| └──Lagrangeduality_note.pdf 4.51M. R. n2 M* I2 H: E: y- Z
├──[06]DCP
6 s9 I$ S% n, p; S& b| ├──CVXDCP.MP4 368.66M! f& M+ s* b8 P z
| ├──CVXDCP.pdf 598.06kb1 q. J& j) A% T/ s& ~
| └──CVXDCP_note.pdf 1.29M+ b& M6 n ~' o' b8 F
├──[07]grad_descent_unconstrained
5 V" F& k7 O2 V0 I) R| ├──grad_descent_unconstrained-note.pdf 47.98M( ?4 g+ W5 S7 i- i- p
| ├──grad_descent_unconstrained.pdf 4.35M
8 s1 E" u% w" `| ├──grad_descent_unconstrained01.MP4 381.22M
+ M; p: N t9 b! W+ ]| ├──grad_descent_unconstrained02.MP4 570.76M
$ g& {" U8 c8 K# l| ├──grad_descent_unconstrained03.MP4 360.24M
& e, ~/ R* E9 i' k q e| └──StrongConvexSmooth.pdf 339.66kb; I3 Y, K* |4 k$ c" T: m
├──[08]grad_descent_constrained
* A: G( G+ o% w. t( z. m| ├──grad_descent_constrained-note.pdf 26.60M0 ]+ M8 f, u1 Z, B6 n: _" W: R q1 g
| ├──grad_descent_constrained.pdf 2.99M
+ @$ G6 H, V9 _0 Q) r| ├──grad_descent_constrained01.MP4 210.04M' t, s6 `' ^8 ~5 f
| ├──grad_descent_constrained02.MP4 246.69M
; s" {: F9 ]/ u. S: E: f| └──grad_descent_constrained03.MP4 140.84M
! p: |7 U! ^: Z( R8 z" U├──[09]subgradient_methods
' s1 M9 R: F4 o4 u, r| ├──subgradient_methods-note.pdf 14.87M
M& u4 P1 R: Q& q$ D2 z, O| ├──subgradient_methods.pdf 3.00M+ B- ]% [8 @& x% Q
| ├──subgradient_methods01.MP4 280.69M+ u w: O$ n$ e* `/ `! z4 k0 J' k! Q
| ├──subgradient_methods02.MP4 303.34M0 |5 y! W! u0 ]+ n9 i
| └──subgradient_methods03.MP4 181.10M3 R5 B' v, {; a, g. _
├──[10]mirror_descent # k \$ ?( `+ r) T6 d+ H
| ├──mirror_descent-note.pdf 223.55M
. K: ~; h4 @9 D- [* C4 @4 e2 ]| ├──mirror_descent.pdf 9.88M
8 Q7 b. _* C% x| ├──mirror_descent01.MP4 493.71M
1 |3 u/ o: ^$ i8 `: Y| └──mirror_descent02.MP4 300.62M
3 a9 f C$ N% r1 m: ?├──[11]proximal_gradient ; q0 B4 ]6 s4 e/ C. \0 |; s0 E! y
| ├──proximal_gradient-note.pdf 33.35M8 v5 @) @" l0 U% T# S; z
| ├──proximal_gradient.pdf 32.35M8 I1 W( J6 U+ A$ C( y
| ├──proximal_gradient01.MP4 409.32M- n) P9 Z& K" L# n! X
| └──proximal_gradient02.MP4 217.20M
2 O; I& Y& Y2 K# M1 a├──[12]accelerated_gradient 2 m/ j" r9 {* m2 S
| ├──accelerated_gradient-note.pdf 15.45M
1 M5 [& Y7 i! j| ├──accelerated_gradient.pdf 4.00M7 o2 c8 ?' q! |9 W7 {- f4 W) H
| ├──accelerated_gradient01.MP4 353.48M5 @/ g! ? F1 E& D2 b
| └──accelerated_gradient02.MP4 284.79M" p. I' f8 ?9 a/ ?
├──[13]smoothing 9 ]( q1 {$ V2 a- a. X1 @' h) S- l
| ├──smoothing-note.pdf 5.47M- I2 c* G0 h! R. X
| ├──smoothing.MP4 396.42M- f8 K3 K o8 u& N6 I5 z3 E: O7 m% q
| └──smoothing.pdf 1.50M
4 r0 s; c$ l( J+ z├──[14]dual_method ! O8 k/ T, y+ @( a: ^
| ├──dual_method-note.pdf 3.86M
6 b a4 E% ?6 I0 Y% k6 {| ├──dual_method.pdf 1.73M: f* S. f0 [. @$ {( h* q
| ├──dual_method01.MP4 264.94M% p& P' v$ e8 P! t! y8 n3 S5 Q1 L
| └──dual_method02.MP4 365.17M
- |: g. @! B0 a$ }: e# U0 ?├──[15]ADMM
3 O$ R, E7 p+ T7 B( Q| ├──ADMM-note.pdf 2.40M# @8 A+ |. f9 Z1 [
| ├──ADMM.pdf 743.23kb
( e/ @; n/ q& x6 u Q| ├──ADMM01.MP4 99.62M& Y& M6 @2 J! E( |, D
| └──ADMM02.MP4 438.89M% C6 w' w* g/ y5 c- b
├──[16]stochastic_gradient 3 O$ M- h4 L# _5 }
| ├──stochastic_gradient-note.pdf 5.27M) r) C7 u, G( }1 v- b
| ├──stochastic_gradient.pdf 2.19M" P* v5 G# p9 E P) ` z# g: _
| ├──stochastic_gradient01.MP4 170.83M0 _: q& d3 N" L0 |$ R2 H' c
| └──stochastic_gradient02.MP4 227.16M
4 z- ]8 U7 L" e. u├──[17]quasi_Newton
6 h# O: z( T! u! V& ?| ├──quasi_Newton-note.pdf 10.48M. R' V" Y& A9 @# u1 G
| ├──quasi_Newton.pdf 3.92M# b0 a3 e$ [& ^
| ├──quasi_Newton01.MP4 134.53M# r+ [% I, k/ e) M7 f7 v0 H* O
| └──quasi_Newton02.MP4 177.18M/ }, W0 a. N7 }3 g( r( z5 T- R
├──[18]Applications * T3 S" d; a, H c, L! Q h( j
| ├──[1]wireless_networks_I.pdf 3.58M! ]3 c3 ]! F' Y4 y1 a7 M' w
| ├──[1]wireless_networks_II.pdf 2.77M
1 A6 n ]5 M: I+ h: f+ F; p| ├──[2]edgeAI.pdf 9.25M T, C+ G0 p3 M3 Z- d' M
| └──[3]RIS_Yuanming.pdf 2.83M6 } y3 s* A& R$ E4 \
├──Syllabus.pdf 75.84kb$ o1 d4 b. N; @- P4 E. h! @0 T
└──凸优化2020_学习指南.pdf 71.46kb* s a4 P; f t; n, f
0 ~; @; j5 U9 }5 L& Z5 R资源下载地址和密码（百度云盘）： [/hide] 百度网盘信息回帖可见
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: p+ }% f% ?. l本资源由Java自学网收集整理【www.javazx.com】 |
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发表于 2022-6-7 20:33:02
