List questions from svd

Published on 21 Sep 2019 - 16:23

130

Views

Single value decomposition of a matrix

Published on 01 Oct 2019 - 11:54

669

Views

Inverse Square root of a rectangular matrix

Published on 12 Mar 2014 - 4:38

891

Views

Largest Singular value of a Matrix

Published on 13 Mar 2014 - 11:01

893

Views

About matrix products $A^{T}A$ and $ AA^{T} $

Published on 16 Mar 2014 - 0:01

117

Views

Linear systems and bilinear forms

Published on 25 Mar 2026 - 15:54

52

Views

Some terminology and reference questions on singular values

Published on 26 Mar 2014 - 18:34

2.4k

Views

Using SVD in PCA for image compression

Published on 31 Mar 2014 - 8:12

482

Views

Eigenvalues of $ADA^T$

Published on 03 Apr 2014 - 12:45

354

Views

About matrix $R$, what is this called: $R^TR$? What is it for?

Published on 06 Apr 2014 - 10:18

214

Views

Linear Equation system - solve only solvable variables

Published on 09 Apr 2014 - 16:54

810

Views

Mysterious Proof about Induced Norms (was: Uniqueness of SVD)

Published on 10 Apr 2014 - 14:20

1.9k

Views

Is there a faster way to calculate a pseudo-inverse of a matrix than using SVD that is as numerically stable as with SVD?

Published on 10 Apr 2014 - 19:41

5.9k

Views

Find the maximum of $\operatorname{Tr}(RZ)$ over all orthogonal matrices $R$

Published on 15 Apr 2014 - 3:32

748

Views

How to FAST calculate 2 norm / spectral norm of a matrix.

Published on 15 Apr 2014 - 8:11

List Question

SVD algorithm benchmark

Single value decomposition of a matrix

Inverse Square root of a rectangular matrix

Largest Singular value of a Matrix

About matrix products $A^{T}A$ and $ AA^{T} $

Linear systems and bilinear forms

Some terminology and reference questions on singular values

Using SVD in PCA for image compression

Eigenvalues of $ADA^T$

About matrix $R$, what is this called: $R^TR$? What is it for?

Linear Equation system - solve only solvable variables

Mysterious Proof about Induced Norms (was: Uniqueness of SVD)

Is there a faster way to calculate a pseudo-inverse of a matrix than using SVD that is as numerically stable as with SVD?

Find the maximum of $\operatorname{Tr}(RZ)$ over all orthogonal matrices $R$

How to FAST calculate 2 norm / spectral norm of a matrix.

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