apply the Gram Schmidt reduction to the columns of a matrix V

Solve the system A*X = B using the biconjugate gradient method.

Computes the cartesian product of given column vectors ( row vectors ).

Compute condition numbers of the eigenvalues of a matrix.

Matrix equivalent of function 'name'

Compute the generalised singular value decomposition of (A, B):

Returns the outer product of X and Y.

Solves the square system `(A + U*V')*X == B', where U and V are matrices with several columns, using the Sherman-Morrison-Woodbury formula, so that a system with A as left-hand side is actually solved.

a few tests for gsvd.m

trigonometric/hyperbolic functions of square matrix x