Question

Decomposing a matrix with unit sphere constraints

score 30 · Answer 1 · 2024-02-22 23:36:53

30

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Decomposing a matrix with unit sphere constraints

Published on 22 Feb 2024 - 23:36

score 32 · Answer 2 · 2024-02-24 20:40:18

32

Views

SVD and least square solution

Published on 24 Feb 2024 - 20:40

score 11 · Answer 3 · 2026-03-26 20:03:57

11

Views

In sparse ridge regression, why we have this property

Published on 26 Mar 2026 - 20:03

score 41 · Answer 4 · 2026-02-23 10:50:36

41

Views

If a matrix is an outer product of two vectors; can I determine the vectors?

Published on 23 Feb 2026 - 10:50

score 11 · Answer 5 · 2024-03-05 20:51:42

11

Views

Variation of Generalized singular value decomposition with more than two matrices?

Published on 05 Mar 2024 - 20:51

score 22 · Answer 6 · 2026-03-26 01:01:14

22

Views

Can principal components changed by a normalization method be used to construct original data shape with SVD

Published on 26 Mar 2026 - 1:01

score 12 · Answer 7 · 2026-03-25 14:39:09

12

Views

Are there any numerically stable methods for computing the condition number of a near-singular matrix that are fast?

Published on 25 Mar 2026 - 14:39

score 28 · Answer 8 · 2024-03-12 16:00:25

28

Views

Relation between zero singular values and eigenvalues

Published on 12 Mar 2024 - 16:00

score 12 · Answer 9 · 2026-03-21 21:22:08

12

Views

How does the SVD of a matrix relate to the SVD of multiple stacked duplicates of the matrix?

Published on 21 Mar 2026 - 21:22

score 39 · Answer 10 · 2026-03-29 02:45:22

39

Views

A supremum on orthogonal matrices

Published on 29 Mar 2026 - 2:45

score 67 · Answer 11 · 2024-03-17 19:47:48

67

Views

Proof of first step in SVD

Published on 17 Mar 2024 - 19:47

score 27 · Answer 12 · 2026-03-25 12:48:30

27

Views

How to prove a matrix $M$ has incoherence property?

Published on 25 Mar 2026 - 12:48

score 20 · Answer 13 · 2024-03-30 15:32:16

20

Views

Is polar decomposition commutative for diagonal matrices?

Published on 30 Mar 2024 - 15:32

score 211 · Answer 14 · 2015-01-09 20:35:01

211

Views

$\text{det}(A+E) = 0 \implies \Vert E\Vert_{2} \geq \sigma_n$?

Published on 09 Jan 2015 - 20:35

score 1.8k · Answer 15 · 2026-03-27 19:40:26

1.8k

Views

How does additive noise change the SVD

Published on 27 Mar 2026 - 19:40

List Question

Decomposing a matrix with unit sphere constraints

SVD and least square solution

In sparse ridge regression, why we have this property

If a matrix is an outer product of two vectors; can I determine the vectors?

Variation of Generalized singular value decomposition with more than two matrices?

Can principal components changed by a normalization method be used to construct original data shape with SVD

Are there any numerically stable methods for computing the condition number of a near-singular matrix that are fast?

Relation between zero singular values and eigenvalues

How does the SVD of a matrix relate to the SVD of multiple stacked duplicates of the matrix?

A supremum on orthogonal matrices

Proof of first step in SVD

How to prove a matrix $M$ has incoherence property?

Is polar decomposition commutative for diagonal matrices?

$\text{det}(A+E) = 0 \implies \Vert E\Vert_{2} \geq \sigma_n$?

How does additive noise change the SVD

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