norm.svd.Matrix(x)
"svd.Matrix"
representing the
singular value decomposition of a numeric or complex Matrix.
"norm"
representing the spectral or 2 norm of the matrix
underlying
x
.
A copy of the call to
norm
is returned as an attribute.
The spectral or 2 norm of a matrix is equal to its largest singular value.
Golub, G., and Van Loan, C. F. (1989). Matrix Computations, 2nd edition, Johns Hopkins, Baltimore.
x <- Matrix( sample(-3:3, size = 9, replace = T), nrow = 3, ncol = 3) norm(svd(x))