List questions from subgradient

Published on 15 Dec 2020 - 7:05

312

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Subdifferential of convex function.

Published on 11 Jan 2021 - 5:41

432

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Find subdifferential of function $f: \mathbb{R} \rightarrow \mathbb{R}, f(x) = \max(1, \exp(x^2))$

Published on 26 Jan 2021 - 23:53

306

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Is a finite convex function subdifferentiable everywhere?

Published on 03 Feb 2021 - 23:48

223

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Do Lipschitz convex functions have at least one "small" subgradient at each point?

Published on 12 Feb 2021 - 1:13

112

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shortest path search by using sub-gradient method

Published on 14 Feb 2021 - 6:44

95

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subdifferential of a linear function which has a non-negative domain

Published on 23 Feb 2021 - 17:38

68

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Find the subdifferential of a given function

Published on 25 Mar 2026 - 4:37

106

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How to get the correct subgradient for a linear program?

Published on 15 Mar 2021 - 16:19

134

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Finding the gradient of $(,)=\max\{||,||\}$ for $|x|=|y|$

Published on 25 Mar 2026 - 9:09

218

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Does $\partial_{\varepsilon_k} f(x^k)$ approximate $ \partial f (\bar{x})$ for $ x^k \to \bar{x} $ and $\varepsilon_{k} \to 0 $?

Published on 25 Mar 2021 - 17:27

243

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An extension of subgradients method for nonsmooth convex optimization

Published on 28 Mar 2021 - 6:27

283

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every positive monotone increasing function necessarily the derivative of a convex function?

Published on 13 Apr 2021 - 14:37

197

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How to find the subgradient of $x \mapsto \max \left( (x+1)^2, (x-3)^2 \right) $ at $x=1$?

Published on 25 Mar 2026 - 4:41

906

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L1 Norm Optimization Solution

Published on 17 Apr 2021 - 6:47

List Question

Subgradient of $(|x_1| + |x_2|)^2$

Subdifferential of convex function.

Find subdifferential of function $f: \mathbb{R} \rightarrow \mathbb{R}, f(x) = \max(1, \exp(x^2))$

Is a finite convex function subdifferentiable everywhere?

Do Lipschitz convex functions have at least one "small" subgradient at each point?

shortest path search by using sub-gradient method

subdifferential of a linear function which has a non-negative domain

Find the subdifferential of a given function

How to get the correct subgradient for a linear program?

Finding the gradient of $(,)=\max\{||,||\}$ for $|x|=|y|$

Does $\partial_{\varepsilon_k} f(x^k)$ approximate $ \partial f (\bar{x})$ for $ x^k \to \bar{x} $ and $\varepsilon_{k} \to 0 $?

An extension of subgradients method for nonsmooth convex optimization

every positive monotone increasing function necessarily the derivative of a convex function?

How to find the subgradient of $x \mapsto \max \left( (x+1)^2, (x-3)^2 \right) $ at $x=1$?

L1 Norm Optimization Solution

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