List questions from numerical-linear-algebra

Published on 03 Mar 2019 - 5:15

300

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Factoring a matrix as the product of block triangular and diagonal matrices.

Published on 25 Mar 2026 - 7:43

7.3k

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What is a big condition number for a matrix?

Published on 27 Mar 2026 - 12:36

336

Views

Find the relative condition number of $f(x,y) := y e^{4x^2}$ with respect to the 1-norm.

Published on 25 Mar 2026 - 3:35

285

Views

Incremental solution for matrix inverse using Shermann-Morrison in $O(n^2)$

Published on 27 Mar 2026 - 12:08

236

Views

Find the norm of the matrix in Gauss-Seidel method

Published on 05 Mar 2019 - 12:51

231

Views

Conditions for solving generalized Sylvester matrix equation XA + BX + CXD = E

Published on 19 Mar 2026 - 19:15

2k

Views

Difference between R and Q in numbers

Published on 06 Mar 2019 - 19:37

56

Views

Series where every element contains a mean of near elements

Published on 08 Mar 2019 - 0:57

67

Views

Generating correlated normal vectors with observations

Published on 27 Mar 2026 - 23:31

180

Views

Proving an inequality based on condition number.

Published on 25 Mar 2026 - 3:34

507

Views

Is there a fast way to compute the lowest eigenvalue of this symmetric PD matrix in this specific scenario?

Published on 26 Mar 2026 - 6:10

839

Views

Condition number of dot product of vectors

Published on 27 Mar 2026 - 11:16

1.6k

Views

Spectral Radius $\leq$ min(1-norm, infinity norm)

Published on 26 Mar 2026 - 2:58

51

Views

Rewriting product of special rank one updates as a low rank update

Published on 19 Mar 2019 - 16:59

List Question

Lagrange interpolation well-conditioned?

Factoring a matrix as the product of block triangular and diagonal matrices.

What is a big condition number for a matrix?

Find the relative condition number of $f(x,y) := y e^{4x^2}$ with respect to the 1-norm.

Incremental solution for matrix inverse using Shermann-Morrison in $O(n^2)$

Find the norm of the matrix in Gauss-Seidel method

Conditions for solving generalized Sylvester matrix equation XA + BX + CXD = E

Difference between R and Q in numbers

Series where every element contains a mean of near elements

Generating correlated normal vectors with observations

Proving an inequality based on condition number.

Is there a fast way to compute the lowest eigenvalue of this symmetric PD matrix in this specific scenario?

Condition number of dot product of vectors

Spectral Radius $\leq$ min(1-norm, infinity norm)

Rewriting product of special rank one updates as a low rank update

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