Computes the null space of A for an arbitrary linear system of the
form Ax = b.
Usage
null.space(x)
Arguments
x
$m x n$ $A$ matrix of a linear system
$Ax = b$
Value
Returns an $m x q$ matrix that is the null space,
where $q$ is the rank of $A$.
Details
Computes the null space via singular value decomposition (SVD) of A by
finding the columns of the SVD of A that correspond to the
non-singular column vectors that span A.