List questions from convex-optimization

Published on 12 Apr 2026 - 13:45

100

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Question about descent directions

Published on 13 Apr 2026 - 21:43

95

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Approximating $\sum_{i,j=1}^n (h_i-h_j)^2$ where $h_i=\left(1 - \frac{1}{i}\right)^{2 s}\frac{1}{i}$

Published on 13 Apr 2026 - 22:14

71

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If $\nabla f(\bar{x}) (x-\bar{x}) > 0$ for some point $\bar{x}$, is $\bar{x}$ necessarily a local minimum point?

Published on 16 Apr 2026 - 18:26

278

Views

Convex Sets and Conic Sets and Functions

Published on 14 Apr 2026 - 12:34

297

Views

Fenchel Dual of indicator function

Published on 10 Apr 2026 - 21:43

892

Views

Are KKT points necessarily saddle points of the Lagrangian?

Published on 12 Apr 2026 - 22:19

58

Views

Some basic subdifferential computations

Published on 11 May 2026 - 1:01

129

Views

How to prove the convexity of complicated derivatives?

Published on 12 Apr 2026 - 7:42

184

Views

Differentiable sparsity measure

Published on 15 May 2026 - 4:41

88

Views

Is this property a theorem somewhere?

Published on 13 Apr 2026 - 1:23

110

Views

Slack Variables Destroy Convexity?

Published on 14 Apr 2026 - 14:13

45

Views

How would I represent the following constraint in the linear form?

Published on 12 Apr 2026 - 7:46

346

Views

Max of a concave function

Published on 14 Apr 2026 - 15:03

45

Views

smooth convex function

Published on 11 Apr 2026 - 7:34

List Question

Computing the convex conjugate

Question about descent directions

Approximating $\sum_{i,j=1}^n (h_i-h_j)^2$ where $h_i=\left(1 - \frac{1}{i}\right)^{2 s}\frac{1}{i}$

If $\nabla f(\bar{x}) (x-\bar{x}) > 0$ for some point $\bar{x}$, is $\bar{x}$ necessarily a local minimum point?

Convex Sets and Conic Sets and Functions

Fenchel Dual of indicator function

Are KKT points necessarily saddle points of the Lagrangian?

Some basic subdifferential computations

How to prove the convexity of complicated derivatives?

Differentiable sparsity measure

Is this property a theorem somewhere?

Slack Variables Destroy Convexity?

How would I represent the following constraint in the linear form?

Max of a concave function

smooth convex function

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