List questions from pseudoinverse

Published on 25 Mar 2026 - 19:24

227

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Solution of underdetermined linear system with additional constraints

Published on 10 Oct 2017 - 21:00

545

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Moore–Penrose inverse for constrained least squares

Published on 11 Oct 2017 - 20:05

1.8k

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Finding a solution of a non-square linear system with SVD

Published on 16 Oct 2017 - 9:47

240

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When can we apply matrix operations to both sides of the equation to solve linear systems?

Published on 22 Oct 2017 - 3:27

123

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Calculate $(M^T.\left(M.M^T\right)^{-1}.M{})_{i,j}$ for large sparse binary matrix $M$

Published on 23 Oct 2017 - 14:24

306

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Tensor of a vector with itself and a matrix

Published on 03 Nov 2017 - 8:29

80

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why $X(X^TAX)^{-1}X^T=A^+$ if and only if $N(X^T)=N(A^T)$?

Published on 07 Nov 2017 - 14:56

369

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Derivative of square-root Moore-Pseudo-Inverse

Published on 15 Nov 2017 - 21:07

70

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Matrix factorization with given central diagonal matrix of higher rank

Published on 20 Nov 2017 - 12:15

222

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Pseudo-inverse with minimal number of non-zero entries

Published on 20 Nov 2017 - 17:11

345

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Get $A$ and $C$ matrix from Observability matrix

Published on 29 Nov 2017 - 20:31

43

Views

How to interpret "first r columns" at a matrix?

Published on 25 Mar 2026 - 6:08

561

Views

Section on Moore-Penrose Pseudoinverse in the Deep Learning book

Published on 09 Dec 2017 - 15:05

299

Views

What is the problem in the given proof of left pseudo inverse of "fat" matrices

Published on 13 Dec 2017 - 10:01

List Question

Is $A \mapsto A^+$ well-conditioned?

Solution of underdetermined linear system with additional constraints

Moore–Penrose inverse for constrained least squares

Finding a solution of a non-square linear system with SVD

When can we apply matrix operations to both sides of the equation to solve linear systems?

Calculate $(M^T.\left(M.M^T\right)^{-1}.M{})_{i,j}$ for large sparse binary matrix $M$

Tensor of a vector with itself and a matrix

why $X(X^TAX)^{-1}X^T=A^+$ if and only if $N(X^T)=N(A^T)$?

Derivative of square-root Moore-Pseudo-Inverse

Matrix factorization with given central diagonal matrix of higher rank

Pseudo-inverse with minimal number of non-zero entries

Get $A$ and $C$ matrix from Observability matrix

How to interpret "first r columns" at a matrix?

Section on Moore-Penrose Pseudoinverse in the Deep Learning book

What is the problem in the given proof of left pseudo inverse of "fat" matrices

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