Question

What are some applications for minimizing a convex function on a box with a non-convex constraint?

score 24 · Answer 1 · 2021-08-12 19:59:36

24

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What are some applications for minimizing a convex function on a box with a non-convex constraint?

Published on 12 Aug 2021 - 19:59

score 35 · Answer 2 · 2021-08-20 11:11:47

35

Views

The meaning of "the necessary conditions in terms of X are conservative"

Published on 20 Aug 2021 - 11:11

score 133 · Answer 3 · 2021-08-27 10:05:13

133

Views

Proving that $y\geq 1$ is active at the optimum

Published on 27 Aug 2021 - 10:05

score 184 · Answer 4 · 2021-09-02 14:12:24

184

Views

Maximization of complex quadratic function with quadratic and cubic equality constraints

Published on 02 Sep 2021 - 14:12

score 240 · Answer 5 · 2026-03-25 10:49:53

240

Views

Prove that (Clarke's) generalized directional derivative for locally Lipschitz function is subadditive

Published on 25 Mar 2026 - 10:49

score 201 · Answer 6 · 2021-09-04 17:34:35

201

Views

Example for an unbounded sequence with an isolated cluster point with $\|x^{k+1}-x^{k}\|\to 0$

Published on 04 Sep 2021 - 17:34

score 500 · Answer 7 · 2026-02-23 03:22:18

500

Views

Solution to QCQP problem and potential solvers in Python

Published on 23 Feb 2026 - 3:22

score 84 · Answer 8 · 2021-09-07 12:25:51

84

Views

First and second order conditions - show that they are equivalent

Published on 07 Sep 2021 - 12:25

score 112 · Answer 9 · 2026-03-26 01:09:26

112

Views

Equality-constrained QCQP with non-negativity constraints

Published on 26 Mar 2026 - 1:09

score 2.8k · Answer 10 · 2021-09-13 08:00:02

2.8k

Views

Is ${\bf F}_0={\bf V}_0 {\bf V}_0^H$ a locally optimal solution of $f(\bf F)$ if ${\bf V}_0$ is a locally optimal solution of $f({\bf V} {\bf V}^H)$?

Published on 13 Sep 2021 - 8:00

score 35 · Answer 11 · 2026-03-25 09:48:36

35

Views

Does Globally convergent homotopy guarantee optimality for non-convex problems?

Published on 25 Mar 2026 - 9:48

score 288 · Answer 12 · 2026-03-26 01:09:39

288

Views

Minimizing the norm subject to a quadratic form

Published on 26 Mar 2026 - 1:09

score 310 · Answer 13 · 2021-09-27 15:11:25

310

Views

What happens to convexity when the covariance matrix is singular?

Published on 27 Sep 2021 - 15:11

score 39 · Answer 14 · 2026-03-29 07:22:22

39

Views

How to visualise this weighted combination?

Published on 29 Mar 2026 - 7:22

score 82 · Answer 15 · 2026-03-25 12:55:08

82

Views

How to maximize quadratic form with a integer variables or its relaxation

Published on 25 Mar 2026 - 12:55

List Question

What are some applications for minimizing a convex function on a box with a non-convex constraint?

The meaning of "the necessary conditions in terms of X are conservative"

Proving that $y\geq 1$ is active at the optimum

Maximization of complex quadratic function with quadratic and cubic equality constraints

Prove that (Clarke's) generalized directional derivative for locally Lipschitz function is subadditive

Example for an unbounded sequence with an isolated cluster point with $\|x^{k+1}-x^{k}\|\to 0$

Solution to QCQP problem and potential solvers in Python

First and second order conditions - show that they are equivalent

Equality-constrained QCQP with non-negativity constraints

Is ${\bf F}_0={\bf V}_0 {\bf V}_0^H$ a locally optimal solution of $f(\bf F)$ if ${\bf V}_0$ is a locally optimal solution of $f({\bf V} {\bf V}^H)$?

Does Globally convergent homotopy guarantee optimality for non-convex problems?

Minimizing the norm subject to a quadratic form

What happens to convexity when the covariance matrix is singular?

How to visualise this weighted combination?

How to maximize quadratic form with a integer variables or its relaxation

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