List questions from subgradient

Published on 07 May 2026 - 2:43

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Smooth approximation of maximum using softmax?

Published on 13 Apr 2026 - 6:56

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Question about meaning of evolution problem.

Published on 07 May 2026 - 14:21

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Easy question about subdifferential of a functional on $L^2(0,T;L^2)$

Published on 10 May 2026 - 17:38

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Common subdifferentials of convex function

Published on 07 May 2026 - 14:04

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Subgradient example

Published on 07 May 2026 - 13:11

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How does $\in$ behave with simple algebra dealing with sub gradients?

Published on 11 Apr 2026 - 1:51

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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 15 Apr 2026 - 23:26

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

Published on 11 Apr 2026 - 22:37

158

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Distributed Newton methods for large scale problems

Published on 07 May 2026 - 14:36

405

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Non Smooth Convex Optimization

Published on 22 Apr 2026 - 10:08

641

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Subgradient of a matrix function related to maximum eigenvalue

Published on 07 May 2026 - 4:43

165

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integrating sub derivative of convex function

Published on 07 May 2026 - 14:25

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how to compute subgradient of p-norm, $1 \leq p \leq \infty$

Published on 07 May 2026 - 10:07

628

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Show that if $g(x) = f(Ax + b)$, then $\delta g(x) = A^T \delta f(Ax + b)$

Published on 07 May 2026 - 14:30

List Question

Computing subgradients, a basic example.

Smooth approximation of maximum using softmax?

Question about meaning of evolution problem.

Easy question about subdifferential of a functional on $L^2(0,T;L^2)$

Common subdifferentials of convex function

Subgradient example

How does $\in$ behave with simple algebra dealing with sub gradients?

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?

Distributed Newton methods for large scale problems

Non Smooth Convex Optimization

Subgradient of a matrix function related to maximum eigenvalue

integrating sub derivative of convex function

how to compute subgradient of p-norm, $1 \leq p \leq \infty$

Show that if $g(x) = f(Ax + b)$, then $\delta g(x) = A^T \delta f(Ax + b)$

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