distributed.sprand - Create distributed sparse array of uniformly distributed pseudo-random values
Syntax
DS = distributed.sprand(m, n, density)
Description
DS = distributed.sprand(m, n, density) creates
an m-by-n sparse distributed array with approximately density*m*n uniformly
distributed nonzero double entries.
Remarks
When you use sprand on the workers in the
MATLAB pool, or in a distributed or parallel job (including pmode),
each worker or lab sets its random generator seed to a value that
depends only on the lab index or task ID. Therefore, the array on
each lab is unique for that job. However, if you repeat the job, you
get the same random data.
Examples
Create a 1000-by-1000 sparse distributed double array DS with
approximately 1000 nonzeros.
DS = distributed.sprand(1000, 1000, .001);
See Also
sprand MATLAB function
reference page
codistributed.sprand, distributed.rand, distributed.randn, sparse, distributed.speye, distributed.sprandn
 | distributed.speye | | distributed.sprandn |  |
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