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This function computes the Moore-Penrose pseudoinverse of a square matrix using singular value decomposition.
solve_svd(x, tolerance = 2.220446e-16)
A matrix with the same dimension of x.
x
A square matrix
The tolerance to consider an eigenvalue equals to zero.
Tiago Olivoto, tiagoolivoto@gmail.com
# \donttest{ library(metan) mat <- matrix(c(1, 4, 2, 8), ncol = 2) det(mat) solve_svd(mat) # }
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