/usr/share/freemat/help/text/svd.mdc is in freemat-help 4.0-5.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | SVD SVD Singular Value Decomposition of a Matrix
Usage
Computes the singular value decomposition (SVD) of a matrix. The
svd function has three forms. The first returns only the singular
values of the matrix:
s = svd(A)
The second form returns both the singular values in a diagonal
matrix S, as well as the left and right eigenvectors.
[U,S,V] = svd(A)
The third form returns a more compact decomposition, with the
left and right singular vectors corresponding to zero singular
values being eliminated. The syntax is
[U,S,V] = svd(A,0)
|