solve_svd: Pseudoinverse of a square matrix

View source: R/solve_svd.R

solve_svdR Documentation

Pseudoinverse of a square matrix

Description

[Stable]

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

Usage

solve_svd(x, tolerance = 2.220446e-16)

Arguments

x

A square matrix

tolerance

The tolerance to consider an eigenvalue equals to zero.

Value

A matrix with the same dimension of x.

Author(s)

Tiago Olivoto, tiagoolivoto@gmail.com

Examples


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


metan documentation built on March 7, 2023, 5:34 p.m.