List questions from singular-values

Published on 21 Jan 2024 - 8:26

15

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Hankel Singular Values for diagonal state-space model

Published on 23 Feb 2026 - 21:57

39

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Solving Matrix Equation using SVD

Published on 25 Mar 2026 - 20:39

67

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Singularity extraction: $\int_{-1}^{1}\int_{-1}^{1}\frac{dxdy}{\sqrt{(x-.3)^2+y^2}}$

Published on 25 Mar 2026 - 13:34

11

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Estimate the norm of pseudo inverse of the product of two matrices

Published on 19 Mar 2026 - 14:15

21.6k

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How to express the Frobenius norm of a matrix as the squared norm of its singular values?

Published on 27 Mar 2026 - 7:17

1.3k

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Does a matrix with negative eigenvalues have singular values?

Published on 10 May 2015 - 22:23

2.5k

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Interlacing Theorem on Singular Values

Published on 02 Aug 2015 - 15:51

809

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Condition numbers and block matrices

Published on 25 Mar 2026 - 16:20

1.9k

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Can a nonsingular square matrix be made singular by changing exactly one element or vice versa?

Published on 27 Mar 2026 - 2:39

14.1k

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Condition number of a rectangular matrix

Published on 25 Mar 2026 - 16:20

8.1k

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Sum of eigenvalues and singular values

Published on 05 May 2013 - 3:46

8.2k

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To what extent is the Singular Value Decomposition unique?

Published on 21 Jun 2013 - 16:51

72.4k

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Why does the spectral norm equal the largest singular value?

Published on 25 Mar 2026 - 14:21

33.8k

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How unique are $U$ and $V$ in the singular value decomposition $A=UDV^\dagger$?

Published on 19 Jan 2014 - 23:18

List Question

What are proper numerical methods to solve IVP at irregular singular point?

Hankel Singular Values for diagonal state-space model

Solving Matrix Equation using SVD

Singularity extraction: $\int_{-1}^{1}\int_{-1}^{1}\frac{dxdy}{\sqrt{(x-.3)^2+y^2}}$

Estimate the norm of pseudo inverse of the product of two matrices

How to express the Frobenius norm of a matrix as the squared norm of its singular values?

Does a matrix with negative eigenvalues have singular values?

Interlacing Theorem on Singular Values

Condition numbers and block matrices

Can a nonsingular square matrix be made singular by changing exactly one element or vice versa?

Condition number of a rectangular matrix

Sum of eigenvalues and singular values

To what extent is the Singular Value Decomposition unique?

Why does the spectral norm equal the largest singular value?

How unique are $U$ and $V$ in the singular value decomposition $A=UDV^\dagger$?

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