Question

Show that the perturbation of identity satisfies certain continuity and Lipschitz properties

score 181 · Answer 1 · 2020-07-14 10:03:25

181

Views

Show that the perturbation of identity satisfies certain continuity and Lipschitz properties

Published on 14 Jul 2020 - 10:03

score 139 · Answer 2 · 2026-03-25 07:42:11

139

Views

Proximal Gradient of absolute value of linear function

Published on 25 Mar 2026 - 7:42

score 67 · Answer 3 · 2026-03-27 00:56:07

67

Views

How does topological properties of sets (openness, closed, compactness) matter in practical algorithm design for optimization problems?

Published on 27 Mar 2026 - 0:56

score 65 · Answer 4 · 2026-03-26 08:14:43

65

Views

A simple shape derivative example

Published on 26 Mar 2026 - 8:14

score 29 · Answer 5 · 2020-07-20 11:23:39

29

Views

Identify the regions in $(\alpha_{1},\ \alpha_{2})$ plane for which $f_{\alpha_{1},\ \alpha_{2}}$ is a convex or concave function

Published on 20 Jul 2020 - 11:23

score 84 · Answer 6 · 2026-03-26 13:01:09

84

Views

Shape derivative of a boundary integral with a continuously differentiable function on a "tubular neighborhood"

Published on 26 Mar 2026 - 13:01

score 107 · Answer 7 · 2020-07-20 22:43:35

107

Views

Convexifying Optimization Problem

Published on 20 Jul 2020 - 22:43

score 108 · Answer 8 · 2026-03-28 19:35:59

108

Views

Conjugate Gradient: A-orthogonality under quadratic form implies "regular" orthogonality under special mapping...

Published on 28 Mar 2026 - 19:35

score 28 · Answer 9 · 2020-07-30 13:22:41

28

Views

a property of Amijo-type line search algorithm

Published on 30 Jul 2020 - 13:22

score 2.3k · Answer 10 · 2016-07-05 21:31:16

2.3k

Views

Does converting an inequality constraint to an equality one have any major impact on an optimization solver?

Published on 05 Jul 2016 - 21:31

score 166 · Answer 11 · 2026-03-27 14:58:22

166

Views

how to find the the maximum of an implicit function

Published on 27 Mar 2026 - 14:58

score 4.2k · Answer 12 · 2026-03-25 12:13:52

4.2k

Views

Optimization of Convex Function with $ {L}_{\infty} $ Norm Regularization (Composition Model)

Published on 25 Mar 2026 - 12:13

score 202 · Answer 13 · 2016-07-14 19:48:57

202

Views

Explicit least-squares method for horizontal shifts of a function

Published on 14 Jul 2016 - 19:48

score 1.3k · Answer 14 · 2016-07-18 03:37:31

1.3k

Views

Convex optimization with $\ell_0$ "norm"

Published on 18 Jul 2016 - 3:37

score 137 · Answer 15 · 2016-07-20 08:42:58

137

Views

What's the relationship between automatic differentiation and gradient method?

Published on 20 Jul 2016 - 8:42

List Question

Show that the perturbation of identity satisfies certain continuity and Lipschitz properties

Proximal Gradient of absolute value of linear function

How does topological properties of sets (openness, closed, compactness) matter in practical algorithm design for optimization problems?

A simple shape derivative example

Identify the regions in $(\alpha_{1},\ \alpha_{2})$ plane for which $f_{\alpha_{1},\ \alpha_{2}}$ is a convex or concave function

Shape derivative of a boundary integral with a continuously differentiable function on a "tubular neighborhood"

Convexifying Optimization Problem

Conjugate Gradient: A-orthogonality under quadratic form implies "regular" orthogonality under special mapping...

a property of Amijo-type line search algorithm

Does converting an inequality constraint to an equality one have any major impact on an optimization solver?

how to find the the maximum of an implicit function

Optimization of Convex Function with $ {L}_{\infty} $ Norm Regularization (Composition Model)

Explicit least-squares method for horizontal shifts of a function

Convex optimization with $\ell_0$ "norm"

What's the relationship between automatic differentiation and gradient method?

Trending Questions

Popular # Hahtags

Popular Questions