Question

Concavity of CES function using gradient monotonicity

score 55 · Answer 1 · 2026-04-12 18:03:39

55

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Concavity of CES function using gradient monotonicity

Published on 12 Apr 2026 - 18:03

score 322 · Answer 2 · 2026-04-13 14:08:41

322

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Convex optimization problem has to include only convex constraint functions?

Published on 13 Apr 2026 - 14:08

score 47 · Answer 3 · 2026-03-27 02:36:05

47

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Find analytically, $s \in \mathbb R^m$ which maximizes $s^Tg$ subject to $\|s\|_0 \le k$ and $a_j \le s_j \le b_j$ for all $j$.

Published on 27 Mar 2026 - 2:36

score 147 · Answer 4 · 2026-04-10 16:29:12

147

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Biconvex Functions

Published on 10 Apr 2026 - 16:29

score 197 · Answer 5 · 2026-04-13 07:34:54

197

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Convex function with negative derivative at a point.

Published on 13 Apr 2026 - 7:34

score 77 · Answer 6 · 2026-04-11 19:30:07

77

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Is this function convex? Why or why not?

Published on 11 Apr 2026 - 19:30

score 153 · Answer 7 · 2026-04-09 02:49:17

153

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Is it possible to approximate a convex function with strictly convex functions?

Published on 09 Apr 2026 - 2:49

score 45 · Answer 8 · 2026-04-12 08:12:47

45

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How do I show that for an open, nonempty subset $A$ of a topological vector space $V$ is convex?

Published on 12 Apr 2026 - 8:12

score 294 · Answer 9 · 2026-04-12 15:32:58

294

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Strictly convex function and mean value theorem

Published on 12 Apr 2026 - 15:32

score 250 · Answer 10 · 2026-04-11 12:46:01

250

Views

Existence of Dual for an Infinite Linear Program

Published on 11 Apr 2026 - 12:46

score 48 · Answer 11 · 2026-04-12 10:38:07

48

Views

What is wrong with my explanation of the convex problem concept?

Published on 12 Apr 2026 - 10:38

score 37 · Answer 12 · 2020-04-17 11:33:48

37

Views

Proving that the supremum of expectations with respect to alternative probability measures is lower semi-continuous

Published on 17 Apr 2020 - 11:33

score 871 · Answer 13 · 2026-03-27 10:24:24

871

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Why has the MLE for a Gaussian Distribution only one solution although not being "jointly" convex in mean and variance

Published on 27 Mar 2026 - 10:24

score 28 · Answer 14 · 2020-04-18 17:10:22

28

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Is the multi variable function convex when it is convex for all of it's arguments?

Published on 18 Apr 2020 - 17:10

score 101 · Answer 15 · 2026-04-13 08:51:07

101

Views

On a result of Mazur about convergence in locally convex spaces

Published on 13 Apr 2026 - 8:51

List Question

Concavity of CES function using gradient monotonicity

Convex optimization problem has to include only convex constraint functions?

Find analytically, $s \in \mathbb R^m$ which maximizes $s^Tg$ subject to $\|s\|_0 \le k$ and $a_j \le s_j \le b_j$ for all $j$.

Biconvex Functions

Convex function with negative derivative at a point.

Is this function convex? Why or why not?

Is it possible to approximate a convex function with strictly convex functions?

How do I show that for an open, nonempty subset $A$ of a topological vector space $V$ is convex?

Strictly convex function and mean value theorem

Existence of Dual for an Infinite Linear Program

What is wrong with my explanation of the convex problem concept?

Proving that the supremum of expectations with respect to alternative probability measures is lower semi-continuous

Why has the MLE for a Gaussian Distribution only one solution although not being "jointly" convex in mean and variance

Is the multi variable function convex when it is convex for all of it's arguments?

On a result of Mazur about convergence in locally convex spaces

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