Question

The Sub Differential of the Separable Sum $ R \left( w \right) = \sum^{d}_{j=1} \left| w_j \right|$ ($ {L}_{1} $ Norm of a Vector)

score 1k · Answer 1 · 2026-03-25 10:59:03

1k

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The Sub Differential of the Separable Sum $ R \left( w \right) = \sum^{d}_{j=1} \left| w_j \right|$ ($ {L}_{1} $ Norm of a Vector)

Published on 25 Mar 2026 - 10:59

score 164 · Answer 2 · 2026-03-25 10:55:43

164

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Is there a good textbook/book out there that explains sub gradients thoroughly?

Published on 25 Mar 2026 - 10:55

score 174 · Answer 3 · 2026-03-26 17:31:35

174

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Effective convexity criterion for the finite point set in $\mathbb{R}^3$

Published on 26 Mar 2026 - 17:31

score 599 · Answer 4 · 2014-11-03 15:33:53

599

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Is there any way to transform a non-convex optimization problem into a convex one?

Published on 03 Nov 2014 - 15:33

score 164 · Answer 5 · 2026-03-25 21:53:15

164

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score 782 · Answer 6 · 2026-03-26 20:40:06

782

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Published on 26 Mar 2026 - 20:40

score 365 · Answer 7 · 2014-11-07 12:09:24

365

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Proving that the solution of a norm constrained optimization is on the boundary of the set

Published on 07 Nov 2014 - 12:09

score 50 · Answer 8 · 2014-11-09 06:11:12

50

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score 296 · Answer 9 · 2026-03-25 01:53:58

296

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score 4k · Answer 10 · 2014-11-10 18:38:05

4k

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score 21.9k · Answer 11 · 2014-11-11 05:24:20

21.9k

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Published on 11 Nov 2014 - 5:24

score 489 · Answer 12 · 2026-03-30 15:36:47

489

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About Intersection of two convex polytope?

Published on 30 Mar 2026 - 15:36

score 288 · Answer 13 · 2026-04-02 04:04:53

288

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Published on 02 Apr 2026 - 4:04

score 114 · Answer 14 · 2014-11-11 21:46:30

114

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score 2.2k · Answer 15 · 2026-02-23 05:27:56

2.2k

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What is the correct change of variables to yield convexity in this nonlinear optimization problem?

Published on 23 Feb 2026 - 5:27

List Question

The Sub Differential of the Separable Sum $ R \left( w \right) = \sum^{d}_{j=1} \left| w_j \right|$ ($ {L}_{1} $ Norm of a Vector)

Is there a good textbook/book out there that explains sub gradients thoroughly?

Effective convexity criterion for the finite point set in $\mathbb{R}^3$

Is there any way to transform a non-convex optimization problem into a convex one?

unnecessary constraint in optimization problem

How to find accuracy of Matlab's quadprog solver?

Proving that the solution of a norm constrained optimization is on the boundary of the set

Is the optimization problem right?

Toeplitz equality-constrained least-squares problem

Minimizing a function of a complex variable

Proof that the intersection of any finite number of convex sets is a convex set

About Intersection of two convex polytope?

Why test problems in convex optimization are mostly random?

Distributed convex optimization problem

What is the correct change of variables to yield convexity in this nonlinear optimization problem?

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