solve_svd | R Documentation |

This function computes the Moore-Penrose pseudoinverse of a square matrix using singular value decomposition.

solve_svd(x, tolerance = 2.220446e-16)

`x` |
A square matrix |

`tolerance` |
The tolerance to consider an eigenvalue equals to zero. |

A matrix with the same dimension of `x`

.

Tiago Olivoto, tiagoolivoto@gmail.com

library(metan) mat <- matrix(c(1, 4, 2, 8), ncol = 2) det(mat) solve_svd(mat)

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