Syntax

Description

R = randn(sz,arraytype) creates a matrix with underlying class of double, with randn values in all elements.

R = randn(sz,datatype,arraytype) creates a matrix with underlying class of datatype, with randn values in all elements.

The size and type of array are specified by the argument options according to the following table.

R = randn(sz,'like',P) creates an array of randn values with the same type and underlying class (data type) as array P.

R = randn(sz,datatype,'like',P) creates an array of randn values with the specified underlying class (datatype), and the same type as array P.

C = randn(sz,codist) or C = rand(sz,datatype,codist) creates a codistributed array of randn values with the specified size and underlying class (the default datatype is 'double'). The codistributor object codist specifies the distribution scheme for creating the codistributed array. For information on constructing codistributor objects, see the reference pages for codistributor1d and codistributor2dbc. To use the default distribution scheme, you can specify a codistributor constructor without arguments. For example:

spmd
    C = randn(8,codistributor1d());
end

C = randn(sz,___,codist,'noCommunication') specifies that no interworker communication is to be performed when constructing a codistributed array, skipping some error checking steps.

C = randn(sz,___,codist,'like',P) creates a codistributed array of randn values with the specified size, underlying class, and distribution scheme. If either the class or codistributor argument is omitted, the characteristic is acquired from the codistributed array P.

Examples

Create Distributed Randn Matrix

Create a 1000-by-1000 distributed array of randn values with underlying class double:

D = randn(1000,'distributed');

Create Codistributed Randn Matrix

Create a 1000-by-1000 codistributed double matrix of randn values, distributed by its second dimension (columns).

spmd(4)
    C = randn(1000,'codistributed');
end

With four workers, each worker contains a 1000-by-250 local piece of C.

Create a 1000-by-1000 codistributed single matrix of randn values, distributed by its columns.

spmd(4)
    codist = codistributor('1d',2,100*[1:numlabs]);
    C = randn(1000,1000,'single',codist);
end

Each worker contains a 100-by-labindex local piece of C.

Create gpuArray Rand Matrix

Create a 1000-by-1000 gpuArray of randn values with underlying class double:

G = randn(1000,'double','gpuArray');

See Also

codistributed.sprandn | distributed.sprandn | rand | randi | randn