Question

Is there any property or low-complexity algorithms to calculate matrix inverse where its inverse matrix is digonal dominant?

score 108 · Answer 1 · 2020-09-07 09:01:24

108

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Is there any property or low-complexity algorithms to calculate matrix inverse where its inverse matrix is digonal dominant?

Published on 07 Sep 2020 - 9:01

score 28 · Answer 2 · 2020-09-08 08:26:58

28

Views

For positive semi-definite complex matrices A, B, B symmetric of rank 1,find a condition for $\operatorname{tr}(A^{\ast}B)$ to be $0$?

Published on 08 Sep 2020 - 8:26

score 80 · Answer 3 · 2026-03-26 09:40:02

80

Views

Solutions to non-linear equation with positive semidefinite matrix

Published on 26 Mar 2026 - 9:40

score 344 · Answer 4 · 2020-09-12 21:04:09

344

Views

Least upper bound on set of positive semidefinite matrices

Published on 12 Sep 2020 - 21:04

score 361 · Answer 5 · 2026-03-26 19:35:44

361

Views

Proving Markov–Lukacs theorem from SOS programming

Published on 26 Mar 2026 - 19:35

score 246 · Answer 6 · 2020-09-14 17:06:59

246

Views

Transforming semidefinite program into generalized eigenvalue problem (GEVP)

Published on 14 Sep 2020 - 17:06

score 78 · Answer 7 · 2026-03-25 09:06:17

78

Views

Proving convexity of non-smooth function using smooth approximation

Published on 25 Mar 2026 - 9:06

score 99 · Answer 8 · 2020-09-15 16:54:26

99

Views

Given an arbitrary matrix, how to obtain a positive semidefinite matrix?

Published on 15 Sep 2020 - 16:54

score 542 · Answer 9 · 2020-09-20 06:35:50

542

Views

Difference between two Positive Definite Matrices

Published on 20 Sep 2020 - 6:35

score 385 · Answer 10 · 2020-09-23 07:15:27

385

Views

How to find conditions for positive semidefinite matrix?

Published on 23 Sep 2020 - 7:15

score 161 · Answer 11 · 2020-09-24 11:46:10

161

Views

Largest eigenvalue of a product of matrices

Published on 24 Sep 2020 - 11:46

score 832 · Answer 12 · 2020-09-24 19:46:32

832

Views

Trace inequality for square root of product of matrices

Published on 24 Sep 2020 - 19:46

score 36 · Answer 13 · 2020-09-24 20:00:50

36

Views

$w_t$ is the solution of $\max_z z^T w_{t - 1}$ s.t. $z^T \Sigma^{-1} z = 1$. Express $w_t$ as a function of $w_{t - 1}$

Published on 24 Sep 2020 - 20:00

score 416 · Answer 14 · 2020-09-26 14:50:22

416

Views

Name of decomposition $A=BB^T$

Published on 26 Sep 2020 - 14:50

score 94 · Answer 15 · 2026-03-25 11:11:46

94

Views

Positive semidefinite ordering of matrices after small perturbations

Published on 25 Mar 2026 - 11:11

List Question

Is there any property or low-complexity algorithms to calculate matrix inverse where its inverse matrix is digonal dominant?

For positive semi-definite complex matrices A, B, B symmetric of rank 1,find a condition for $\operatorname{tr}(A^{\ast}B)$ to be $0$?

Solutions to non-linear equation with positive semidefinite matrix

Least upper bound on set of positive semidefinite matrices

Proving Markov–Lukacs theorem from SOS programming

Transforming semidefinite program into generalized eigenvalue problem (GEVP)

Proving convexity of non-smooth function using smooth approximation

Given an arbitrary matrix, how to obtain a positive semidefinite matrix?

Difference between two Positive Definite Matrices

How to find conditions for positive semidefinite matrix?

Largest eigenvalue of a product of matrices

Trace inequality for square root of product of matrices

$w_t$ is the solution of $\max_z z^T w_{t - 1}$ s.t. $z^T \Sigma^{-1} z = 1$. Express $w_t$ as a function of $w_{t - 1}$

Name of decomposition $A=BB^T$

Positive semidefinite ordering of matrices after small perturbations

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