Question

Converting a quadratically constrained optimization problem into a standard semidefinite program

score 298 · Answer 1 · 2020-03-11 17:41:31

298

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Converting a quadratically constrained optimization problem into a standard semidefinite program

Published on 11 Mar 2020 - 17:41

score 1k · Answer 2 · 2020-03-26 05:06:11

1k

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Complexity of semidefinite programming

Published on 26 Mar 2020 - 5:06

score 40 · Answer 3 · 2020-03-28 20:16:51

40

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Why is the smallest dimension for which there exists an orthogonal representation bounded by the coloring of the complement?

Published on 28 Mar 2020 - 20:16

score 124 · Answer 4 · 2020-03-30 17:21:18

124

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Why is the minimum rank of a matrix that fits a graph G larger or equal to the cardinality of the maximum stable set.

Published on 30 Mar 2020 - 17:21

score 120 · Answer 5 · 2020-03-30 18:28:52

120

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Why is the theta number / Lovasz number additive on disjoint graphs?

Published on 30 Mar 2020 - 18:28

score 37 · Answer 6 · 2020-04-01 17:14:25

37

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What does edge-transitive imply for the adjacency matrix of graph?

Published on 01 Apr 2020 - 17:14

score 214 · Answer 7 · 2020-04-10 02:18:33

214

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A matrix optimization problem that resembles a standard semidefinite program

Published on 10 Apr 2020 - 2:18

score 66 · Answer 8 · 2020-04-11 13:50:58

66

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Show that, if $A$ is PSD, then there is an optimal solution $x_i, y_j$ of the below given optimization problem such that $x_i = y_i$ for all $i$

Published on 11 Apr 2020 - 13:50

score 45 · Answer 9 · 2020-04-13 21:46:09

45

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Calculate $\max\{\frac{1}{2}\sum\limits_{i=1}^4(1-X_{i,i+1}) \mid X \succeq 0, \, X_{ii}=1 \forall i\in [5]\}$ analytically.

Published on 13 Apr 2020 - 21:46

score 34 · Answer 10 · 2020-04-14 01:24:17

34

Views

Covariance selection does not converge

Published on 14 Apr 2020 - 1:24

score 117 · Answer 11 · 2026-03-25 04:37:56

117

Views

Reformulation to LMI constraints (H2 Feedforward Control)

Published on 25 Mar 2026 - 4:37

score 84 · Answer 12 · 2026-03-25 06:09:19

84

Views

Transformations in LMI constraints

Published on 25 Mar 2026 - 6:09

score 170 · Answer 13 · 2020-05-12 06:14:12

170

Views

Converting semidefinite program into standard form linear program

Published on 12 May 2020 - 6:14

score 130 · Answer 14 · 2020-05-19 12:38:20

130

Views

How to prove Fekete / Markov-Lukasz theorem: nonnegative univariate polynomial on [-1,1] can be decomposed accoording to even/odd-ness of degree

Published on 19 May 2020 - 12:38

score 41 · Answer 15 · 2020-05-27 12:52:42

41

Views

How can i rewrite my specific $F_{n,2d}^a$ polynomial to be a sum of $(3n-4)$ squares?

Published on 27 May 2020 - 12:52

List Question

Converting a quadratically constrained optimization problem into a standard semidefinite program

Complexity of semidefinite programming

Why is the smallest dimension for which there exists an orthogonal representation bounded by the coloring of the complement?

Why is the minimum rank of a matrix that fits a graph G larger or equal to the cardinality of the maximum stable set.

Why is the theta number / Lovasz number additive on disjoint graphs?

What does edge-transitive imply for the adjacency matrix of graph?

A matrix optimization problem that resembles a standard semidefinite program

Show that, if $A$ is PSD, then there is an optimal solution $x_i, y_j$ of the below given optimization problem such that $x_i = y_i$ for all $i$

Calculate $\max\{\frac{1}{2}\sum\limits_{i=1}^4(1-X_{i,i+1}) \mid X \succeq 0, \, X_{ii}=1 \forall i\in [5]\}$ analytically.

Covariance selection does not converge

Reformulation to LMI constraints (H2 Feedforward Control)

Transformations in LMI constraints

Converting semidefinite program into standard form linear program

How to prove Fekete / Markov-Lukasz theorem: nonnegative univariate polynomial on [-1,1] can be decomposed accoording to even/odd-ness of degree

How can i rewrite my specific $F_{n,2d}^a$ polynomial to be a sum of $(3n-4)$ squares?

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