List questions from subgradient

Published on 25 Mar 2026 - 4:38

65

Views

Subdifferential and affine transformation

Published on 25 Mar 2026 - 4:37

25

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Does the subgradient and normal align at the maximum of a convex function?

Published on 21 May 2023 - 7:41

200

Views

KKT conditions for non-differentiable constraints

Published on 18 Jun 2023 - 21:30

95

Views

Relation Between Subgradients of a Random Function and Its Expectation

Published on 22 Jun 2023 - 20:33

139

Views

Fundamental Theorem of Calculus for non-differentiable convex functions

Published on 25 Mar 2026 - 4:40

29

Views

Relation between the inclusion of a point in a convex hull and inclusion of the subdifferentials of a convex function at that point?

Published on 12 Jul 2023 - 13:08

120

Views

The steepest descent direction constrained to non-negative variables

Published on 04 Aug 2023 - 0:03

58

Views

If $p$ is bounded and bounded away from $0$, can we find upper and lower bound for $\|\nabla\hat p\|^2+\Delta\hat p$?

Published on 17 Aug 2023 - 21:35

76

Views

Where does the $\ell_2$ norm subdifferential come from?

Published on 25 Sep 2023 - 17:15

68

Views

Convex optimization - bound on a subgradient

Published on 26 Sep 2023 - 8:51

172

Views

Let $A,B,C \subset \mathbb{R}^n$ be convex, bounded and closed set, then $A+C=B+C \Rightarrow A=B$

Published on 04 Oct 2023 - 11:06

62

Views

$f$ a real sub linear function, prove that: $\partial f(a)= \left \{ z \in \partial f(0) | z\cdot a = f(a) \right \}$

Published on 06 Oct 2023 - 18:29

28

Views

Subdifferential of a convex function and a continuous mapping

Published on 07 Oct 2023 - 19:49

127

Views

Is a non-differentiable function Lipschitz continuous if and only if its subgradient is bounded?

Published on 08 Oct 2023 - 5:25

List Question

Subgradient of the spectral norm

Subdifferential and affine transformation

Does the subgradient and normal align at the maximum of a convex function?

KKT conditions for non-differentiable constraints

Relation Between Subgradients of a Random Function and Its Expectation

Fundamental Theorem of Calculus for non-differentiable convex functions

Relation between the inclusion of a point in a convex hull and inclusion of the subdifferentials of a convex function at that point?

The steepest descent direction constrained to non-negative variables

If $p$ is bounded and bounded away from $0$, can we find upper and lower bound for $\|\nabla\hat p\|^2+\Delta\hat p$?

Where does the $\ell_2$ norm subdifferential come from?

Convex optimization - bound on a subgradient

Let $A,B,C \subset \mathbb{R}^n$ be convex, bounded and closed set, then $A+C=B+C \Rightarrow A=B$

$f$ a real sub linear function, prove that: $\partial f(a)= \left \{ z \in \partial f(0) | z\cdot a = f(a) \right \}$

Subdifferential of a convex function and a continuous mapping

Is a non-differentiable function Lipschitz continuous if and only if its subgradient is bounded?

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