Question

Schur complement of the marginalized normal covariance matrix given joint Cholesky decomposition

score 142 · Answer 1 · 2026-03-25 08:07:50

142

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Schur complement of the marginalized normal covariance matrix given joint Cholesky decomposition

Published on 25 Mar 2026 - 8:07

score 79 · Answer 2 · 2026-03-25 06:03:16

79

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Involution on $2\times 2$ matrices

Published on 25 Mar 2026 - 6:03

score 57 · Answer 3 · 2023-05-14 16:18:11

57

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A characterization of symmetric positive definite matrices using Schur complements

Published on 14 May 2023 - 16:18

score 48 · Answer 4 · 2026-03-25 06:07:06

48

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On the relationship between the Sylvester criterion and the Schur complement for positive semi-definiteness of a matrix via LMI

Published on 25 Mar 2026 - 6:07

score 117 · Answer 5 · 2023-06-27 16:34:55

117

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Positive semidefinite block matrix

Published on 27 Jun 2023 - 16:34

score 58 · Answer 6 · 2023-07-19 16:14:22

58

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Proving the equation of positive definite submatrix

Published on 19 Jul 2023 - 16:14

score 23 · Answer 7 · 2026-03-25 11:33:47

23

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Is there a Schur-like theorem for proving $B^TB\succeq A$?

Published on 25 Mar 2026 - 11:33

score 103 · Answer 8 · 2026-03-25 17:35:23

103

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Using Schur's Complement to Reformulate Semidefinite Programming Constraint

Published on 25 Mar 2026 - 17:35

score 116 · Answer 9 · 2026-03-18 00:43:29

116

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For ($n \times p$) $A = \begin{bmatrix} A_{11} & A_{12} \\ A_{21} & A_{22} \\ \end{bmatrix} $, show that $A_{22} = A_{21}A_{11}^{-1}A_{12}$

Published on 18 Mar 2026 - 0:43

score 52 · Answer 10 · 2023-11-07 19:37:40

52

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Schur complement for negative semidefinite

Published on 07 Nov 2023 - 19:37

score 15 · Answer 11 · 2026-03-05 04:07:40

15

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How can we ensure the matrix $\mathbf{T} - ( \mathbf{C} \circ \mathbf{A} )( \mathbf{C} \circ \mathbf{A} )^H$ is positive semi-definite(PSD)

Published on 05 Mar 2026 - 4:07

score 107 · Answer 12 · 2023-11-08 20:01:33

107

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Is this a known operation on matrices?

Published on 08 Nov 2023 - 20:01

score 99 · Answer 13 · 2023-12-31 03:52:48

99

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Recover a matrix from its Schur complements

Published on 31 Dec 2023 - 3:52

score 85 · Answer 14 · 2024-01-01 04:09:01

85

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Single constraint quadratic optimization dual form expression using the Schur complement

Published on 01 Jan 2024 - 4:09

score 49 · Answer 15 · 2024-01-18 02:41:28

49

Views

Schur complement, Congruence Transformation and Positive Semi definiteness

Published on 18 Jan 2024 - 2:41

List Question

Schur complement of the marginalized normal covariance matrix given joint Cholesky decomposition

Involution on $2\times 2$ matrices

A characterization of symmetric positive definite matrices using Schur complements

On the relationship between the Sylvester criterion and the Schur complement for positive semi-definiteness of a matrix via LMI

Positive semidefinite block matrix

Proving the equation of positive definite submatrix

Is there a Schur-like theorem for proving $B^TB\succeq A$?

Using Schur's Complement to Reformulate Semidefinite Programming Constraint

For ($n \times p$) $A = \begin{bmatrix} A_{11} & A_{12} \\ A_{21} & A_{22} \\ \end{bmatrix} $, show that $A_{22} = A_{21}A_{11}^{-1}A_{12}$

Schur complement for negative semidefinite

How can we ensure the matrix $\mathbf{T} - ( \mathbf{C} \circ \mathbf{A} )( \mathbf{C} \circ \mathbf{A} )^H$ is positive semi-definite(PSD)

Is this a known operation on matrices?

Recover a matrix from its Schur complements

Single constraint quadratic optimization dual form expression using the Schur complement

Schur complement, Congruence Transformation and Positive Semi definiteness

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