Question

Is maximum of increasing concave functions quasi-concave?

score 275 · Answer 1 · 2026-03-28 00:49:26

275

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Is maximum of increasing concave functions quasi-concave?

Published on 28 Mar 2026 - 0:49

score 24 · Answer 2 · 2018-08-28 12:25:02

24

Views

Concavity formal definition in a negative space

Published on 28 Aug 2018 - 12:25

score 2k · Answer 3 · 2026-03-28 02:23:28

2k

Views

What is the intuitive of the perspective of a function

Published on 28 Mar 2026 - 2:23

score 1.3k · Answer 4 · 2026-03-25 11:11:43

1.3k

Views

Counterexample: Convex set which is NOT the intersection of half-spaces

Published on 25 Mar 2026 - 11:11

score 94 · Answer 5 · 2018-08-30 17:34:31

94

Views

Proof of the inequality of a convex/concave function

Published on 30 Aug 2018 - 17:34

score 161 · Answer 6 · 2026-03-25 16:06:24

161

Views

Boyd & Vandenberghe, problem 3.40 — on the implicit function theorem

Published on 25 Mar 2026 - 16:06

score 1.9k · Answer 7 · 2026-03-25 12:54:01

1.9k

Views

Orthogonal projection of a vector onto convex set

Published on 25 Mar 2026 - 12:54

score 133 · Answer 8 · 2026-03-25 12:47:31

133

Views

Using Alternative Projection Algorithm to solve linear systems

Published on 25 Mar 2026 - 12:47

score 151 · Answer 9 · 2018-09-01 18:13:50

151

Views

Show a finite probability space of size n is convex

Published on 01 Sep 2018 - 18:13

score 29 · Answer 10 · 2018-09-02 00:17:15

29

Views

If a set of linear functionals define semispaces that cover the space then they are linearly dependent.

Published on 02 Sep 2018 - 0:17

score 55 · Answer 11 · 2026-03-25 16:06:16

55

Views

a compact set with nonempty convex sections

Published on 25 Mar 2026 - 16:06

score 155 · Answer 12 · 2018-09-02 12:45:51

Show that (1) $A(S) = \{Ax : x \in S \}$ and (2) $A^{-1}(S) = \{x : Ax \in S \}$ are convex but (1) is not always closed while (2) is closed.

score 264 · Answer 13 · 2018-09-02 15:00:41

264

Views

Extreme points of the intersection of the probability simplex and a ball in $\ell_\infty$-norm

Published on 02 Sep 2018 - 15:00

score 66 · Answer 14 · 2026-03-25 04:39:09

66

Views

On approximation of maximization of quadratic function over a convex set

Published on 25 Mar 2026 - 4:39

score 348 · Answer 15 · 2026-03-25 06:12:16

348

Views

Proving that a family of functions is compact

Published on 25 Mar 2026 - 6:12

List Question

Is maximum of increasing concave functions quasi-concave?

Concavity formal definition in a negative space

What is the intuitive of the perspective of a function

Counterexample: Convex set which is NOT the intersection of half-spaces

Proof of the inequality of a convex/concave function

Boyd & Vandenberghe, problem 3.40 — on the implicit function theorem

Orthogonal projection of a vector onto convex set

Using Alternative Projection Algorithm to solve linear systems

Show a finite probability space of size n is convex

If a set of linear functionals define semispaces that cover the space then they are linearly dependent.

a compact set with nonempty convex sections

Show that (1) $A(S) = \{Ax : x \in S \}$ and (2) $A^{-1}(S) = \{x : Ax \in S \}$ are convex but (1) is not always closed while (2) is closed.

Extreme points of the intersection of the probability simplex and a ball in $\ell_\infty$-norm

On approximation of maximization of quadratic function over a convex set

Proving that a family of functions is compact

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