Question

Rewriting a strictly convex quadratic equality constraint

score 124 · Answer 1 · 2026-04-13 17:41:19

124

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Rewriting a strictly convex quadratic equality constraint

Published on 13 Apr 2026 - 17:41

score 115 · Answer 2 · 2026-04-11 17:12:18

115

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Convex envelopes of bivariate functions

Published on 11 Apr 2026 - 17:12

score 588 · Answer 3 · 2026-04-12 10:15:33

588

Views

The Legendre-Fenchel transform of $BV$ semi-norm

Published on 12 Apr 2026 - 10:15

score 57 · Answer 4 · 2026-04-15 06:42:01

57

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Convex signal reconstruction for convex generator function?

Published on 15 Apr 2026 - 6:42

score 1.3k · Answer 5 · 2026-04-09 04:59:19

1.3k

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How do I prove that this objective function is not convex?

Published on 09 Apr 2026 - 4:59

score 208 · Answer 6 · 2026-04-14 23:55:53

208

Views

Minimum quadratic form value within a line?

Published on 14 Apr 2026 - 23:55

score 198 · Answer 7 · 2026-04-15 12:15:22

198

Views

Find the edges emanating from a given vertex in a polyhedron defined by $P=\{ x\in \mathbb{R}^n \mid Ax=b, x\geq0 \}$

Published on 15 Apr 2026 - 12:15

score 1.4k · Answer 8 · 2026-04-12 15:11:10

1.4k

Views

Is the expectation of log-concave function still log-concave?

Published on 12 Apr 2026 - 15:11

score 105 · Answer 9 · 2026-04-14 10:56:17

105

Views

Is $K =\{ S: \exists \text{ positive diagonal} D, D^TSD \;\text{diagonally dominant}\}$ convex?

Published on 14 Apr 2026 - 10:56

score 351 · Answer 10 · 2026-04-08 16:54:26

351

Views

How to pivot to an adjacent vertex in simplex method

Published on 08 Apr 2026 - 16:54

score 160 · Answer 11 · 2026-04-11 23:38:05

160

Views

Subgradient of the optimal value of a linear program with respect to its parameters

Published on 11 Apr 2026 - 23:38

score 450 · Answer 12 · 2026-04-10 14:15:26

450

Views

What's the difference between this proximal method and subgradient projection?

Published on 10 Apr 2026 - 14:15

score 65 · Answer 13 · 2026-04-13 11:17:40

65

Views

Minimizing a quadratic term

Published on 13 Apr 2026 - 11:17

score 121 · Answer 14 · 2026-04-14 03:03:44

121

Views

Solve Composition of Vector $ {L}_{1} $ Norm and Matrix Nuclear Norm

Published on 14 Apr 2026 - 3:03

score 96 · Answer 15 · 2026-04-14 21:08:43

96

Views

How does one evaluate the derivative of a matrix with a tensor $\frac{\partial \operatorname{Tr}[A(\mathrm{Id}\otimes w)]}{\partial w}$?

Published on 14 Apr 2026 - 21:08

List Question

Rewriting a strictly convex quadratic equality constraint

Convex envelopes of bivariate functions

The Legendre-Fenchel transform of $BV$ semi-norm

Convex signal reconstruction for convex generator function?

How do I prove that this objective function is not convex?

Minimum quadratic form value within a line?

Find the edges emanating from a given vertex in a polyhedron defined by $P=\{ x\in \mathbb{R}^n \mid Ax=b, x\geq0 \}$

Is the expectation of log-concave function still log-concave?

Is $K =\{ S: \exists \text{ positive diagonal} D, D^TSD \;\text{diagonally dominant}\}$ convex?

How to pivot to an adjacent vertex in simplex method

Subgradient of the optimal value of a linear program with respect to its parameters

What's the difference between this proximal method and subgradient projection?

Minimizing a quadratic term

Solve Composition of Vector $ {L}_{1} $ Norm and Matrix Nuclear Norm

How does one evaluate the derivative of a matrix with a tensor $\frac{\partial \operatorname{Tr}[A(\mathrm{Id}\otimes w)]}{\partial w}$?

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