Question

Derivative of the minimum distance function

score 36 · Answer 1 · 2026-04-15 03:29:42

36

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Derivative of the minimum distance function

Published on 15 Apr 2026 - 3:29

score 42 · Answer 2 · 2026-04-14 14:24:28

42

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"adjoint" for convex functions and conjugate

Published on 14 Apr 2026 - 14:24

score 41 · Answer 3 · 2026-04-09 22:21:22

41

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Linear Programming & Optimal Solution

Published on 09 Apr 2026 - 22:21

score 44 · Answer 4 · 2026-04-12 02:34:03

44

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Under what conditions is the sum of two non-convex functions convex?

Published on 12 Apr 2026 - 2:34

score 33 · Answer 5 · 2026-04-11 04:03:14

33

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Is it possible to express any norm balls into a polyhedron $\{x | Ax \leq b, Bx = g\}$?

Published on 11 Apr 2026 - 4:03

score 94 · Answer 6 · 2026-04-13 19:11:10

94

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Bound $\|\mathbb{E} [ \boldsymbol{H} (x-y)]\|^2$ for $\mu \preccurlyeq \boldsymbol{H} \preccurlyeq L$

Published on 13 Apr 2026 - 19:11

score 24 · Answer 7 · 2026-04-08 22:05:59

24

Views

How can I convert a strict linear (affine) matrix inequality feasibility problem into a non-strict one?

Published on 08 Apr 2026 - 22:05

score 35 · Answer 8 · 2026-04-09 21:36:10

35

Views

An optimisation problem involving a special class of polynomials

Published on 09 Apr 2026 - 21:36

score 37 · Answer 9 · 2026-04-11 21:42:35

37

Views

Why is the relative interior of a set defined in terms of its affine (vs convex) hull?

Published on 11 Apr 2026 - 21:42

score 39 · Answer 10 · 2026-04-14 02:07:28

39

Views

On transferability of solutions to linear programs

Published on 14 Apr 2026 - 2:07

score 37 · Answer 11 · 2026-04-13 23:12:26

37

Views

The proof for worst-case convergence rate ($\frac{1}{\sqrt{T}}$) of non-smooth convex optimization

Published on 13 Apr 2026 - 23:12

score 46 · Answer 12 · 2026-04-11 19:50:21

46

Views

[convex optimization]Does there exist a function h such that its composition with a non-convex function g, h(g(x)), is a convex function?

Published on 11 Apr 2026 - 19:50

score 25 · Answer 13 · 2026-04-08 20:47:20

25

Views

Maximizing a function involving a linear combination of the positive and negative part

Published on 08 Apr 2026 - 20:47

score 58 · Answer 14 · 2026-03-29 07:40:23

58

Views

Proving the convexity of $f(x,y) = x^2 + y^2 + |xy|$

Published on 29 Mar 2026 - 7:40

score 41 · Answer 15 · 2026-04-12 02:07:23

41

Views

Cannot find the dual function

Published on 12 Apr 2026 - 2:07

List Question

Derivative of the minimum distance function

"adjoint" for convex functions and conjugate

Linear Programming & Optimal Solution

Under what conditions is the sum of two non-convex functions convex?

Is it possible to express any norm balls into a polyhedron $\{x | Ax \leq b, Bx = g\}$?

Bound $\|\mathbb{E} [ \boldsymbol{H} (x-y)]\|^2$ for $\mu \preccurlyeq \boldsymbol{H} \preccurlyeq L$

How can I convert a strict linear (affine) matrix inequality feasibility problem into a non-strict one?

An optimisation problem involving a special class of polynomials

Why is the relative interior of a set defined in terms of its affine (vs convex) hull?

On transferability of solutions to linear programs

The proof for worst-case convergence rate ($\frac{1}{\sqrt{T}}$) of non-smooth convex optimization

[convex optimization]Does there exist a function h such that its composition with a non-convex function g, h(g(x)), is a convex function?

Maximizing a function involving a linear combination of the positive and negative part

Proving the convexity of $f(x,y) = x^2 + y^2 + |xy|$

Cannot find the dual function

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