Question

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

score 103 · Answer 1 · 2026-03-26 00:53:53

103

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

Published on 26 Mar 2026 - 0:53

score 384 · Answer 2 · 2026-03-26 02:25:22

384

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Finding subgradients

Published on 26 Mar 2026 - 2:25

score 15.3k · Answer 3 · 2026-03-26 00:53:56

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 26 Mar 2026 - 0:53

score 117 · Answer 4 · 2026-04-26 13:59:18

117

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Find subgradiant

Published on 26 Apr 2026 - 13:59

score 198 · Answer 5 · 2026-05-10 20:02:27

198

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Directional subderivatives: definition and computation

Published on 10 May 2026 - 20:02

score 344 · Answer 6 · 2026-03-26 02:55:44

344

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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 26 Mar 2026 - 2:55

score 132 · Answer 7 · 2026-03-26 02:33:33

132

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Lagrange dual variable identities

Published on 26 Mar 2026 - 2:33

score 250 · Answer 8 · 2026-03-26 02:35:59

250

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Weakening uniqueness conditions for gradient descent

Published on 26 Mar 2026 - 2:35

score 82 · Answer 9 · 2026-03-26 02:26:41

82

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subgradient calculus with dual problem

Published on 26 Mar 2026 - 2:26

score 142 · Answer 10 · 2026-03-26 02:41:40

142

Views

Differential inclusion has unique solution

Published on 26 Mar 2026 - 2:41

score 149 · Answer 11 · 2026-03-26 02:41:37

149

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How to work with subdifferentials in convex optimization problems?

Published on 26 Mar 2026 - 2:41

score 2.7k · Answer 12 · 2026-03-26 00:53:50

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 26 Mar 2026 - 0:53

score 372 · Answer 13 · 2026-03-26 02:55:46

372

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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 26 Mar 2026 - 2:55

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 503 · Answer 15 · 2026-04-09 20:41:20

503

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Mathematical applications of the subgradient

Published on 09 Apr 2026 - 20:41

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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