Question

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

score 144 · Answer 1 · 2026-04-29 12:26:24

144

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

Published on 29 Apr 2026 - 12:26

score 84 · Answer 2 · 2026-05-05 05:56:36

84

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Involution on $2\times 2$ matrices

Published on 05 May 2026 - 5:56

score 60 · Answer 3 · 2026-04-10 10:54:31

60

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A characterization of symmetric positive definite matrices using Schur complements

Published on 10 Apr 2026 - 10:54

score 50 · Answer 4 · 2026-04-15 03:58:16

50

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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 15 Apr 2026 - 3:58

score 120 · Answer 5 · 2026-04-11 05:56:02

120

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Positive semidefinite block matrix

Published on 11 Apr 2026 - 5:56

score 61 · Answer 6 · 2026-04-11 21:33:44

61

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Proving the equation of positive definite submatrix

Published on 11 Apr 2026 - 21:33

score 24 · Answer 7 · 2026-05-10 15:51:32

24

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

Published on 10 May 2026 - 15:51

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 117 · Answer 9 · 2026-05-04 19:13:32

117

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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 04 May 2026 - 19:13

score 55 · Answer 10 · 2026-04-09 00:20:47

55

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Schur complement for negative semidefinite

Published on 09 Apr 2026 - 0:20

score 17 · Answer 11 · 2026-04-12 15:32:52

17

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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 12 Apr 2026 - 15:32

score 110 · Answer 12 · 2026-04-11 22:40:08

110

Views

Is this a known operation on matrices?

Published on 11 Apr 2026 - 22:40

score 102 · Answer 13 · 2026-04-13 12:23:33

102

Views

Recover a matrix from its Schur complements

Published on 13 Apr 2026 - 12:23

score 88 · Answer 14 · 2026-04-11 22:49:17

88

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Single constraint quadratic optimization dual form expression using the Schur complement

Published on 11 Apr 2026 - 22:49

score 52 · Answer 15 · 2026-04-09 20:11:07

52

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Schur complement, Congruence Transformation and Positive Semi definiteness

Published on 09 Apr 2026 - 20:11

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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