sprandn - Sparse normally distributed random matrix
Syntax
R = sprandn(S)
R = sprandn(m,n,density)
R = sprandn(m,n,density,rc)
Description
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.
sprandn uses the internal state information
set with the randn function.
See Also
sprand, sprandsym
 | sprand | | sprandsym |  |
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