Question

prove that sum of quadric form less than the frobenius norm

score 206 · Answer 1 · 2026-03-25 17:21:34

206

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prove that sum of quadric form less than the frobenius norm

Published on 25 Mar 2026 - 17:21

score 218 · Answer 2 · 2020-02-26 16:47:58

218

Views

Computational stability of calculating EV-decomposition vs SVD with the Läuchli matrix.

Published on 26 Feb 2020 - 16:47

score 276 · Answer 3 · 2026-03-25 23:53:04

276

Views

Is there any way to prove stability for a discrete state space model by using Singular Value Decomposition?

Published on 25 Mar 2026 - 23:53

score 57 · Answer 4 · 2020-03-04 13:46:40

57

Views

Is this matrix field contractible inside the space of non-conformal matrices?

Published on 04 Mar 2020 - 13:46

score 98 · Answer 5 · 2026-03-25 06:03:54

98

Views

What is the best way to solve square integer matrices of 8-bit?

Published on 25 Mar 2026 - 6:03

score 60 · Answer 6 · 2026-03-26 16:10:10

60

Views

Possible application of Laws of Large Numbers and Central Limit Theorem to SVD of dual covariance matrices

Published on 26 Mar 2026 - 16:10

score 558 · Answer 7 · 2020-03-10 23:42:14

558

Views

Help with understanding a paper: Solving Fredholm Integrals of the first kind with Tensor Product structure in 2 and 2.5 dimensions

Published on 10 Mar 2020 - 23:42

score 67 · Answer 8 · 2020-03-12 06:57:58

67

Views

If the sum of the singular values of $df$ is constant $1$, must $f$ have a constant Jacobian?

Published on 12 Mar 2020 - 6:57

score 106 · Answer 9 · 2020-03-14 02:57:17

106

Views

Iterated matrix multiplication when matrix is defective

Published on 14 Mar 2020 - 2:57

score 215 · Answer 10 · 2026-02-23 08:30:32

215

Views

Functional calculus for compact operators using singular value decomposition and regularisation filters

Published on 23 Feb 2026 - 8:30

score 262 · Answer 11 · 2020-03-18 09:47:53

262

Views

Advantage of singular value decomposition of $X$ over eigenvalue analysis of $XX^T$

Published on 18 Mar 2020 - 9:47

score 47 · Answer 12 · 2020-03-18 12:56:54

47

Views

Every matrix is diagonal

Published on 18 Mar 2020 - 12:56

score 1.1k · Answer 13 · 2020-03-22 06:33:46

1.1k

Views

How does the outer product work in matrix approximation using SVD?

Published on 22 Mar 2020 - 6:33

score 215 · Answer 14 · 2020-03-23 13:07:21

215

Views

SVD uniquely determined for a matrix

Published on 23 Mar 2020 - 13:07

score 90 · Answer 15 · 2026-03-26 11:05:22

90

Views

SVD in multilinear algebra

Published on 26 Mar 2026 - 11:05

List Question

prove that sum of quadric form less than the frobenius norm

Computational stability of calculating EV-decomposition vs SVD with the Läuchli matrix.

Is there any way to prove stability for a discrete state space model by using Singular Value Decomposition?

Is this matrix field contractible inside the space of non-conformal matrices?

What is the best way to solve square integer matrices of 8-bit?

Possible application of Laws of Large Numbers and Central Limit Theorem to SVD of dual covariance matrices

Help with understanding a paper: Solving Fredholm Integrals of the first kind with Tensor Product structure in 2 and 2.5 dimensions

If the sum of the singular values of $df$ is constant $1$, must $f$ have a constant Jacobian?

Iterated matrix multiplication when matrix is defective

Functional calculus for compact operators using singular value decomposition and regularisation filters

Advantage of singular value decomposition of $X$ over eigenvalue analysis of $XX^T$

Every matrix is diagonal

How does the outer product work in matrix approximation using SVD?

SVD uniquely determined for a matrix

SVD in multilinear algebra

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