User`s guide

11 Functions — Alphabetical List

11-72

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.

Examples

Create a 1000-by-1000 sparse distributed double array DS with approximately 1000

nonzeros.

DS = distributed.sprand(1000, 1000, .001);

More About

Tips

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.