List questions from sparse-matrices

Published on 01 May 2019 - 22:14

111

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Eigenpairs of a sparse symmetric block tridiagonal matrix with diagonal blocks on the outer diagonals

Published on 25 Mar 2026 - 1:37

585

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Inverse of a symmetric tridiagonal matrix

Published on 25 Mar 2026 - 1:36

377

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Inverse of symmetric matrix that is almost diagonal

Published on 16 May 2019 - 22:03

28

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Estimating sparse precision matrices - penalised likelihood method

Published on 25 Mar 2026 - 5:11

133

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Does a sparsified correlation matrix follow the Perron Frobenius theorem?

Published on 15 Jun 2019 - 13:37

1.3k

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Inverse of a large sparse matrix in Matlab

Published on 07 Jul 2019 - 4:01

286

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Symmetric sparse matrix inversion

Published on 15 Jul 2019 - 10:47

470

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compute $C = AB^{-1}A^T$ without inverting B

Published on 20 Sep 2019 - 16:17

1.9k

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Fast algorithm for approximating eigenvalue distribution of large sparse matrix

Published on 28 May 2014 - 11:12

1.4k

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Is it possible to use the deflation algorithm to compute the eigenvalues of a large sparse matrix?

Published on 30 Jul 2014 - 15:46

199

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Cholesky solve for semi-definite system

Published on 02 Oct 2019 - 18:26

67

Views

How to recover sparse circulant matrix based on its partial eigenvalues?

Published on 22 Oct 2019 - 7:53

57

Views

How to solve linear system with sparse large matrix?

Published on 29 Oct 2019 - 23:34

85

Views

How to generate random sparse unitary with given density?

Published on 21 Nov 2019 - 22:29

List Question

Is there a formula to identify valid positions in an upper triangular matrix?

Eigenpairs of a sparse symmetric block tridiagonal matrix with diagonal blocks on the outer diagonals

Inverse of a symmetric tridiagonal matrix

Inverse of symmetric matrix that is almost diagonal

Estimating sparse precision matrices - penalised likelihood method

Does a sparsified correlation matrix follow the Perron Frobenius theorem?

Inverse of a large sparse matrix in Matlab

Symmetric sparse matrix inversion

compute $C = AB^{-1}A^T$ without inverting B

Fast algorithm for approximating eigenvalue distribution of large sparse matrix

Is it possible to use the deflation algorithm to compute the eigenvalues of a large sparse matrix?

Cholesky solve for semi-definite system

How to recover sparse circulant matrix based on its partial eigenvalues?

How to solve linear system with sparse large matrix?

How to generate random sparse unitary with given density?

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