Question

Cholesky decomposition for $AA^t$

score 1.8k · Answer 1 · 2026-03-25 14:29:24

1.8k

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Cholesky decomposition for $AA^t$

Published on 25 Mar 2026 - 14:29

score 35 · Answer 2 · 2017-12-03 13:10:50

35

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NMF algorithm, matrix subscript meaning

Published on 03 Dec 2017 - 13:10

score 33 · Answer 3 · 2017-12-04 19:05:38

33

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If $X \in \mathbb{R}^{n \times n}$ and invertible, does it always have an eigen-decomposition?

Published on 04 Dec 2017 - 19:05

score 38 · Answer 4 · 2026-03-25 17:44:51

38

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is this matrix decomposition right

Published on 25 Mar 2026 - 17:44

score 176 · Answer 5 · 2017-12-06 14:37:52

176

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If $A^{-1}$ has been precomputed, is there an efficient way to compute: $(A+λI)^{-1}$

Published on 06 Dec 2017 - 14:37

score 218 · Answer 6 · 2026-03-31 10:42:05

218

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Stumped by a singular value decomposition problem

Published on 31 Mar 2026 - 10:42

score 177 · Answer 7 · 2026-04-04 14:46:51

177

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Finding a basis for an eigenspace? Where do the additional vectors come from?

Published on 04 Apr 2026 - 14:46

score 271 · Answer 8 · 2026-04-02 01:26:13

271

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Existence of the vector that decomposes the trace of diagonal and symmetric matrix

Published on 02 Apr 2026 - 1:26

score 173 · Answer 9 · 2026-03-28 22:53:36

173

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Concept behind elementary operation on matrix

Published on 28 Mar 2026 - 22:53

score 144 · Answer 10 · 2026-03-25 06:01:43

144

Views

How do I find $L_{22}$ from LQ-decomposition when using Hankel matrices

Published on 25 Mar 2026 - 6:01

score 869 · Answer 11 · 2017-12-10 21:37:57

869

Views

Why is my matrix inverse calculation with Cholesky decomposition slower than my LU version?

Published on 10 Dec 2017 - 21:37

score 58 · Answer 12 · 2026-04-01 09:39:44

58

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Integer matrices multiplication problem (while proving integrality of the $j$-invariant)

Published on 01 Apr 2026 - 9:39

score 139 · Answer 13 · 2017-12-12 05:58:13

139

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How are these equivalent for normal matrices?

Published on 12 Dec 2017 - 5:58

score 52 · Answer 14 · 2026-04-02 00:10:36

52

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For the $3\times 3$ matrix $A$ with eigenvalues $x_1$, $x_2$, $x_3$ find idempotents matrix $E_1,E_2.E_3$ so that $A=x_1E_1+x_2E_2+x_3E_3$ .

Published on 02 Apr 2026 - 0:10

score 165 · Answer 15 · 2026-03-31 12:43:25

165

Views

Why do I multiply two matrices together to find their Rigid Body Transform Using SVD?

Published on 31 Mar 2026 - 12:43

List Question

Cholesky decomposition for $AA^t$

NMF algorithm, matrix subscript meaning

If $X \in \mathbb{R}^{n \times n}$ and invertible, does it always have an eigen-decomposition?

is this matrix decomposition right

If $A^{-1}$ has been precomputed, is there an efficient way to compute: $(A+λI)^{-1}$

Stumped by a singular value decomposition problem

Finding a basis for an eigenspace? Where do the additional vectors come from?

Existence of the vector that decomposes the trace of diagonal and symmetric matrix

Concept behind elementary operation on matrix

How do I find $L_{22}$ from LQ-decomposition when using Hankel matrices

Why is my matrix inverse calculation with Cholesky decomposition slower than my LU version?

Integer matrices multiplication problem (while proving integrality of the $j$-invariant)

How are these equivalent for normal matrices?

For the $3\times 3$ matrix $A$ with eigenvalues $x_1$, $x_2$, $x_3$ find idempotents matrix $E_1,E_2.E_3$ so that $A=x_1E_1+x_2E_2+x_3E_3$ .

Why do I multiply two matrices together to find their Rigid Body Transform Using SVD?

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