Question

How to prove an expression of log-sum-exp type is convex in DCP?

score 1.7k · Answer 1 · 2026-04-09 08:08:15

1.7k

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How to prove an expression of log-sum-exp type is convex in DCP?

Published on 09 Apr 2026 - 8:08

score 193 · Answer 2 · 2026-04-09 04:27:31

193

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Maximizing a function with constant sum of parameters

Published on 09 Apr 2026 - 4:27

score 1.3k · Answer 3 · 2026-04-01 00:55:54

1.3k

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Are greedy methods such as orthogonal matching pursuit considered obsolete for finding sparse solutions?

Published on 01 Apr 2026 - 0:55

score 944 · Answer 4 · 2026-04-10 13:04:33

944

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How to minimize the maximum of $n$ multivariate functions?

Published on 10 Apr 2026 - 13:04

score 501 · Answer 5 · 2026-04-09 10:05:09

501

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Stuck in concavity proof of least squares cost as a function of weights

Published on 09 Apr 2026 - 10:05

score 216 · Answer 6 · 2026-04-15 13:08:06

216

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lower complexity bounds for problems with smooth functions (Nesterov's Lectures 2004)

Published on 15 Apr 2026 - 13:08

score 766 · Answer 7 · 2026-04-15 09:31:21

766

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Convex function wrt. an argument

Published on 15 Apr 2026 - 9:31

score 1.8k · Answer 8 · 2026-04-12 19:43:16

1.8k

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Connection Between Orthogonal Projection onto the Unit Simplex and the Softmax Function

Published on 12 Apr 2026 - 19:43

score 365 · Answer 9 · 2026-04-12 04:23:35

365

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Difference between First order condition of convex and quasiconvex optimization

Published on 12 Apr 2026 - 4:23

score 78 · Answer 10 · 2026-03-26 21:12:30

78

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Formulation and solution of a minimization problem that consists of a binary variable multiplied by a convex function.

Published on 26 Mar 2026 - 21:12

score 153 · Answer 11 · 2026-04-08 22:52:28

153

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Proximal Operator of a Composition of Functions

Published on 08 Apr 2026 - 22:52

score 70 · Answer 12 · 2026-04-12 04:47:14

70

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Is obtaining convergence rate always more difficult and more important than providing proof of convergence for optimization methods?

Published on 12 Apr 2026 - 4:47

score 3k · Answer 13 · 2026-04-16 06:42:41

3k

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Minimize the Squared $ {L}_{2} $ Norm of a Vector With Linear Equality and Inequality Constraints

Published on 16 Apr 2026 - 6:42

score 2.9k · Answer 14 · 2026-03-26 13:30:34

2.9k

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Linear equality-constrained least-squares

Published on 26 Mar 2026 - 13:30

score 1.3k · Answer 15 · 2026-04-09 12:21:59

1.3k

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Quasiconvex functions definition

Published on 09 Apr 2026 - 12:21

List Question

How to prove an expression of log-sum-exp type is convex in DCP?

Maximizing a function with constant sum of parameters

Are greedy methods such as orthogonal matching pursuit considered obsolete for finding sparse solutions?

How to minimize the maximum of $n$ multivariate functions?

Stuck in concavity proof of least squares cost as a function of weights

lower complexity bounds for problems with smooth functions (Nesterov's Lectures 2004)

Convex function wrt. an argument

Connection Between Orthogonal Projection onto the Unit Simplex and the Softmax Function

Difference between First order condition of convex and quasiconvex optimization

Formulation and solution of a minimization problem that consists of a binary variable multiplied by a convex function.

Proximal Operator of a Composition of Functions

Is obtaining convergence rate always more difficult and more important than providing proof of convergence for optimization methods?

Minimize the Squared $ {L}_{2} $ Norm of a Vector With Linear Equality and Inequality Constraints

Linear equality-constrained least-squares

Quasiconvex functions definition

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