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Projected gradient descent on a semidefinite program with multiple constraints

score 211 · Answer 1 · 2026-03-25 06:25:01

211

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Projected gradient descent on a semidefinite program with multiple constraints

Published on 25 Mar 2026 - 6:25

score 182 · Answer 2 · 2026-03-28 10:03:58

182

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Is there a closed form solution to the following convex optimization problem?

Published on 28 Mar 2026 - 10:03

score 145 · Answer 3 · 2026-03-30 13:38:40

145

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How to derive a closed-form optimal solution of the following concave maximization problem?

Published on 30 Mar 2026 - 13:38

score 29 · Answer 4 · 2026-04-02 17:27:22

29

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What is the concept behind this 'dual problem'?

Published on 02 Apr 2026 - 17:27

score 432 · Answer 5 · 2020-01-06 20:56:28

432

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Are the following functions convex/concave? $f(x, y) = x^{3}-\ln(x^2y)$ and $f(x,y)=x^\alpha y^\beta-x-y$, where both $\alpha, \beta\in(0,1)$

Published on 06 Jan 2020 - 20:56

score 78 · Answer 6 · 2026-03-25 06:26:08

78

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Analytical solution for semidefinite program

Published on 25 Mar 2026 - 6:26

score 952 · Answer 7 · 2026-03-27 03:41:55

952

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Is entropy (or relative entropy) function smooth in the sense that it is gradient is lipschitz continuous?

Published on 27 Mar 2026 - 3:41

score 43 · Answer 8 · 2020-01-08 19:42:54

43

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Maximize Volume + Surface of a Cone that fits in a Sphere

Published on 08 Jan 2020 - 19:42

score 86 · Answer 9 · 2026-03-26 21:13:32

86

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Does simplex assumption make Exponentiated Gradient Method applicable only to a specific optimization problem?

Published on 26 Mar 2026 - 21:13

score 49 · Answer 10 · 2026-03-26 19:17:19

49

Views

origin of this hyperplane formula 1/n

Published on 26 Mar 2026 - 19:17

score 48 · Answer 11 · 2026-03-25 13:59:44

48

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In Subgradient descent method for convex problem: can we say $x^{(k)} \approx x^{(k-1)}$ for iteration $k \rightarrow \infty$?

Published on 25 Mar 2026 - 13:59

score 56 · Answer 12 · 2020-01-14 09:09:47

56

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When the minimization of a sum is equal to the sum of the minimization?

Published on 14 Jan 2020 - 9:09

score 67 · Answer 13 · 2020-01-14 11:05:35

67

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Pareto frontier via weighted multiobjective optimization

Published on 14 Jan 2020 - 11:05

score 201 · Answer 14 · 2026-03-26 11:07:15

201

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How to solve linear program $\min \langle c, x \rangle$ using Lagrangian?

Published on 26 Mar 2026 - 11:07

score 35 · Answer 15 · 2026-03-26 08:04:30

35

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Quantifying the "usefulness" of Penrose-pseudoinverse

Published on 26 Mar 2026 - 8:04

List Question

Projected gradient descent on a semidefinite program with multiple constraints

Is there a closed form solution to the following convex optimization problem?

How to derive a closed-form optimal solution of the following concave maximization problem?

What is the concept behind this 'dual problem'?

Are the following functions convex/concave? $f(x, y) = x^{3}-\ln(x^2y)$ and $f(x,y)=x^\alpha y^\beta-x-y$, where both $\alpha, \beta\in(0,1)$

Analytical solution for semidefinite program

Is entropy (or relative entropy) function smooth in the sense that it is gradient is lipschitz continuous?

Maximize Volume + Surface of a Cone that fits in a Sphere

Does simplex assumption make Exponentiated Gradient Method applicable only to a specific optimization problem?

origin of this hyperplane formula 1/n

In Subgradient descent method for convex problem: can we say $x^{(k)} \approx x^{(k-1)}$ for iteration $k \rightarrow \infty$?

When the minimization of a sum is equal to the sum of the minimization?

Pareto frontier via weighted multiobjective optimization

How to solve linear program $\min \langle c, x \rangle$ using Lagrangian?

Quantifying the "usefulness" of Penrose-pseudoinverse

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