Question

How to determine whether there exist vectors having positive inner products with a given set of vectors?

score 36 · Answer 1 · 2016-12-31 04:24:05

36

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How to determine whether there exist vectors having positive inner products with a given set of vectors?

Published on 31 Dec 2016 - 4:24

score 79 · Answer 2 · 2026-04-01 00:25:49

79

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The maximum of covariance of two functions of a random vriable

Published on 01 Apr 2026 - 0:25

score 1.2k · Answer 3 · 2026-03-25 18:24:41

1.2k

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Solving $ {L}_{1} $ Regularized Least Squares Over Complex Domain

Published on 25 Mar 2026 - 18:24

score 172 · Answer 4 · 2026-04-08 15:49:27

172

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How do derivation of logistic regression minimizer?

Published on 08 Apr 2026 - 15:49

score 301 · Answer 5 · 2026-03-29 13:27:49

301

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How to interpret functions that are defined in terms of $\text{argmax}$ in optimization?

Published on 29 Mar 2026 - 13:27

score 48 · Answer 6 · 2026-03-25 12:55:24

48

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Check whether this problem is convex problem if then how to optimze

Published on 25 Mar 2026 - 12:55

score 169 · Answer 7 · 2017-01-02 08:35:08

169

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suitable convex loss function for a vector whose outer product with itself goes to given matrix

Published on 02 Jan 2017 - 8:35

score 220 · Answer 8 · 2026-03-25 17:20:04

220

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The Sub Differnetial of the Induced $ {L}_{1} $ Matrix Norm and the $ {L}_{2} $ Norm of a Vector

Published on 25 Mar 2026 - 17:20

score 2.1k · Answer 9 · 2026-03-25 11:22:44

2.1k

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In an optimization problem, why is a rank-1 constraint non-convex?

Published on 25 Mar 2026 - 11:22

score 87 · Answer 10 · 2017-01-02 21:23:27

87

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Prove that $\frac{x}{1-y}$ is not a convex function?

Published on 02 Jan 2017 - 21:23

score 263 · Answer 11 · 2017-01-03 09:30:26

263

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Is optimizing a convex function $f(x,y)$ that has a equality constraint $x+y=1$ a convex optimization problem?

Published on 03 Jan 2017 - 9:30

score 859 · Answer 12 · 2017-01-03 23:38:22

859

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Projection on convex set

Published on 03 Jan 2017 - 23:38

score 102 · Answer 13 · 2026-03-29 04:48:47

102

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Minimization of a convex smooth function with implicit constraints

Published on 29 Mar 2026 - 4:48

score 1k · Answer 14 · 2017-01-04 15:16:39

1k

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Is the the set of symmetric positive-definite matrices in the space of all symmetric matrices strictly convex?

Published on 04 Jan 2017 - 15:16

score 6.7k · Answer 15 · 2026-03-27 06:09:47

6.7k

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Why does positive (semi-)definiteness imply convexity?

Published on 27 Mar 2026 - 6:09

List Question

How to determine whether there exist vectors having positive inner products with a given set of vectors?

The maximum of covariance of two functions of a random vriable

Solving $ {L}_{1} $ Regularized Least Squares Over Complex Domain

How do derivation of logistic regression minimizer?

How to interpret functions that are defined in terms of $\text{argmax}$ in optimization?

Check whether this problem is convex problem if then how to optimze

suitable convex loss function for a vector whose outer product with itself goes to given matrix

The Sub Differnetial of the Induced $ {L}_{1} $ Matrix Norm and the $ {L}_{2} $ Norm of a Vector

In an optimization problem, why is a rank-1 constraint non-convex?

Prove that $\frac{x}{1-y}$ is not a convex function?

Is optimizing a convex function $f(x,y)$ that has a equality constraint $x+y=1$ a convex optimization problem?

Projection on convex set

Minimization of a convex smooth function with implicit constraints

Is the the set of symmetric positive-definite matrices in the space of all symmetric matrices strictly convex?

Why does positive (semi-)definiteness imply convexity?

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