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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.
sprand
Sparse uniformly distributed random matrix
sprandn
Sparse normally distributed random matrix