View source: R/gaussian-elimination.R
Inverse | R Documentation |
Uses gaussianElimination
to find the inverse of a square, non-singular matrix, X.
Inverse(X, tol = sqrt(.Machine$double.eps), ...)
X |
a square numeric matrix |
tol |
tolerance for checking for 0 pivot |
... |
other arguments passed on |
The method is purely didactic: The identity matrix, I, is appended to X, giving X | I. Applying Gaussian elimination gives I | X^{-1}, and the portion corresponding to X^{-1} is returned.
the inverse of X
John Fox
A <- matrix(c(2, 1, -1, -3, -1, 2, -2, 1, 2), 3, 3, byrow=TRUE) Inverse(A) Inverse(A, verbose=TRUE, fractions=TRUE)
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