Sparse normally distributed random matrix
R = sprandn(S)
R = sprandn(m,n,density)
R = sprandn(m,n,density,rc)
R = sprandn(S) has the
same sparsity structure as S, but normally distributed
random entries with mean 0 and variance 1.
R = sprandn(m,n,density) is
a random, m-by-n, sparse matrix
with approximately density*m*n normally distributed
nonzero entries (0 <= density <= 1).
R = sprandn(m,n,density,rc) also
has reciprocal condition number approximately equal to rc. R is
constructed from a sum of matrices of rank one.
If rc is a vector of length lr,
where lr <= min(m,n), then R has rc as
its first lr singular values, all others are zero.
In this case, R is generated by random plane rotations
applied to a diagonal matrix with the given singular values. It has
a great deal of topological and algebraic structure.