Question

Computational complexity of optimizing the difference between two concave functions

score 127 · Answer 1 · 2026-03-27 16:24:46

127

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Computational complexity of optimizing the difference between two concave functions

Published on 27 Mar 2026 - 16:24

score 65 · Answer 2 · 2026-03-30 03:35:25

65

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Necessary and sufficient condition for a function to be contraction

Published on 30 Mar 2026 - 3:35

score 306 · Answer 3 · 2026-03-25 08:09:55

306

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Cone of feasible directions and radial cone

Published on 25 Mar 2026 - 8:09

score 1.2k · Answer 4 · 2026-03-25 20:34:07

1.2k

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Induced matrix norm formula proof

Published on 25 Mar 2026 - 20:34

score 18 · Answer 5 · 2026-03-21 20:25:01

18

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disciplined nonlinear optimization for a special kinds of problems

Published on 21 Mar 2026 - 20:25

score 72 · Answer 6 · 2020-04-08 18:29:04

72

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Is this nearly linear optimization problem linear programming?

Published on 08 Apr 2020 - 18:29

score 688 · Answer 7 · 2026-03-28 05:20:57

688

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linear programming with logarithm

Published on 28 Mar 2026 - 5:20

score 4.4k · Answer 8 · 2026-03-26 12:45:19

4.4k

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Question about KKT conditions and strong duality

Published on 26 Mar 2026 - 12:45

score 215 · Answer 9 · 2026-03-25 08:05:59

215

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A matrix optimization problem that resembles a standard semidefinite program

Published on 25 Mar 2026 - 8:05

score 30 · Answer 10 · 2026-03-27 01:47:49

30

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Collection of sets that are supersets of a collection of required sets, that is optimal under a cost function

Published on 27 Mar 2026 - 1:47

score 36 · Answer 11 · 2026-03-28 10:41:33

36

Views

Can someone give me an overview of optimization, what it is, it's importance, and is it worth learning?

Published on 28 Mar 2026 - 10:41

score 183 · Answer 12 · 2026-02-23 21:19:00

183

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How to show $f(x_1,x_2) = (x_1-x_2)^4 - 5 x_1 x_2$ is not coercive?

Published on 23 Feb 2026 - 21:19

score 104 · Answer 13 · 2026-04-01 17:53:26

104

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While solving a MILP via subsequent Linear Relaxations are relaxed Indicator variables and constraints still useful to guide the objective function?

Published on 01 Apr 2026 - 17:53

score 58 · Answer 14 · 2026-03-29 13:23:51

58

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Find the point (or points) on the curve $y^2 = 4 + 3xy$ that are closest to the origin.

Published on 29 Mar 2026 - 13:23

score 275 · Answer 15 · 2020-04-15 14:15:47

275

Views

How to maximize $ \log {\rm det} (\boldsymbol{I} +\boldsymbol{X} \boldsymbol{A} \boldsymbol{X}^T)$?

Published on 15 Apr 2020 - 14:15

List Question

Computational complexity of optimizing the difference between two concave functions

Necessary and sufficient condition for a function to be contraction

Cone of feasible directions and radial cone

Induced matrix norm formula proof

disciplined nonlinear optimization for a special kinds of problems

Is this nearly linear optimization problem linear programming?

linear programming with logarithm

Question about KKT conditions and strong duality

A matrix optimization problem that resembles a standard semidefinite program

Collection of sets that are supersets of a collection of required sets, that is optimal under a cost function

Can someone give me an overview of optimization, what it is, it's importance, and is it worth learning?

How to show $f(x_1,x_2) = (x_1-x_2)^4 - 5 x_1 x_2$ is not coercive?

While solving a MILP via subsequent Linear Relaxations are relaxed Indicator variables and constraints still useful to guide the objective function?

Find the point (or points) on the curve $y^2 = 4 + 3xy$ that are closest to the origin.

How to maximize $ \log {\rm det} (\boldsymbol{I} +\boldsymbol{X} \boldsymbol{A} \boldsymbol{X}^T)$?

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