Create distributed sparse array of uniformly distributed pseudo-random values
DS = distributed.sprand(m,n,density)
DS = distributed.sprand(m,n,density) creates
an m-by-n sparse distributed
array with approximately density*m*n uniformly
distributed nonzero double entries.
Create a 1000-by-1000 sparse distributed double array DS with
approximately 1000 nonzeros.
DS = distributed.sprand(1000,1000,0.001);
When you use sprand on the workers in the
parallel pool, or in an independent or communicating job (including
pmode), each worker sets its random generator seed to a value that
depends only on the labindex or task ID. Therefore,
the array on each worker is unique for that job. However, if you repeat
the job, you get the same random data.
codistributed.sprand | distributed.speye | distributed.sprandn | rand | randn | sparse | sprand