Question

Subdifferential of $(\eta^{\textrm{T}}\mathbf{K}\eta)^{\frac{1}{2}}$ at the origin

score 102 · Answer 1 · 2013-11-10 10:58:26

102

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Subdifferential of $(\eta^{\textrm{T}}\mathbf{K}\eta)^{\frac{1}{2}}$ at the origin

Published on 10 Nov 2013 - 10:58

score 383 · Answer 2 · 2013-11-19 03:55:02

383

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Finding subgradients

Published on 19 Nov 2013 - 3:55

score 15.3k · Answer 3 · 2013-11-23 19:14:10

15.3k

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How to compute the convex conjugate of norm raised to the power of $2$, $f(x) = \|x\|^2/2$

Published on 23 Nov 2013 - 19:14

score 99 · Answer 4 · 2026-03-25 12:12:33

99

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Find subgradiant

Published on 25 Mar 2026 - 12:12

score 197 · Answer 5 · 2026-03-25 06:08:35

197

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Directional subderivatives: definition and computation

Published on 25 Mar 2026 - 6:08

score 343 · Answer 6 · 2017-06-19 12:35:30

343

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connection between the $\epsilon$-subdifferential of a Lipschitz convex function at a point, and its subdifferential at close points.

Published on 19 Jun 2017 - 12:35

score 131 · Answer 7 · 2017-07-26 17:13:57

131

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Lagrange dual variable identities

Published on 26 Jul 2017 - 17:13

score 249 · Answer 8 · 2017-09-27 18:05:41

249

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Weakening uniqueness conditions for gradient descent

Published on 27 Sep 2017 - 18:05

score 81 · Answer 9 · 2017-10-03 06:52:58

81

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subgradient calculus with dual problem

Published on 03 Oct 2017 - 6:52

score 141 · Answer 10 · 2017-11-28 06:29:52

141

Views

Differential inclusion has unique solution

Published on 28 Nov 2017 - 6:29

score 148 · Answer 11 · 2017-12-04 11:08:12

148

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How to work with subdifferentials in convex optimization problems?

Published on 04 Dec 2017 - 11:08

score 2.7k · Answer 12 · 2017-12-22 13:50:15

2.7k

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Why is supporting hyperplane of a sub gradient to epi(f) at (x, f(x)) is defined by (g,−1)?

Published on 22 Dec 2017 - 13:50

score 371 · Answer 13 · 2017-12-25 01:34:19

371

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To find a point in the intersection of convex sets why do we use this as a possible subgradient?

Published on 25 Dec 2017 - 1:34

score 4.1k · Answer 14 · 2026-03-25 18:50:18

4.1k

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Proximal Mapping of Least Squares with $ {L}_{1} $ and $ {L}_{2} $ Norm Terms Regularization (Similar to Elastic Net)

Published on 25 Mar 2026 - 18:50

score 500 · Answer 15 · 2012-11-26 16:16:48

500

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Mathematical applications of the subgradient

Published on 26 Nov 2012 - 16:16

List Question

Subdifferential of $(\eta^{\textrm{T}}\mathbf{K}\eta)^{\frac{1}{2}}$ at the origin

Finding subgradients

How to compute the convex conjugate of norm raised to the power of $2$, $f(x) = \|x\|^2/2$

Find subgradiant

Directional subderivatives: definition and computation

connection between the $\epsilon$-subdifferential of a Lipschitz convex function at a point, and its subdifferential at close points.

Lagrange dual variable identities

Weakening uniqueness conditions for gradient descent

subgradient calculus with dual problem

Differential inclusion has unique solution

How to work with subdifferentials in convex optimization problems?

Why is supporting hyperplane of a sub gradient to epi(f) at (x, f(x)) is defined by (g,−1)?

To find a point in the intersection of convex sets why do we use this as a possible subgradient?

Proximal Mapping of Least Squares with $ {L}_{1} $ and $ {L}_{2} $ Norm Terms Regularization (Similar to Elastic Net)

Mathematical applications of the subgradient

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