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codistributed.NaN - Create codistributed array of Not-a-Number values

Syntax

C = codistributed.NaN(n)
C = codistributed.NaN(m, n, ...)
C = codistributed.NaN([m, n, ...])
C = NaN(n, codist)
C = NaN(m, n, ..., codist)
C = NaN([m, n, ...], codist)

Description

C = codistributed.NaN(n) creates an n-by-n codistributed matrix of NaN values.

C = codistributed.NaN(m, n, ...) or C = codistributed.NaN([m, n, ...]) creates an m-by-n-by-... codistributed array of NaN values.

Optional arguments to codistributed.NaN must be specified after the required arguments, and in the following order:

C = NaN(n, codist) is the same as C = codistributed.NaN(n, codist). You can also use the optional arguments with this syntax. To use the default distribution scheme, specify a codistributor constructor without arguments. For example:

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

C = NaN(m, n, ..., codist) and C = NaN([m, n, ...], codist) are the same as C = codistributed.NaN(m, n, ...) and C = codistributed.NaN([m, n, ...]), respectively. You can also use the optional arguments with this syntax.

Examples

With four labs,

spmd(4)
    C = NaN(1000, codistributor())
end

creates a 1000-by-1000 codistributed double matrix C of NaN values, distributed by its second dimension (columns). Each lab contains a 1000-by-250 local piece of C.

spmd(4)
    codist = codistributor('1d', 2, 1:numlabs);
    C = NaN(10, 10, 'single', codist);
end

creates a 10-by-10 codistributed single array C, distributed by its columns. Each lab contains a 10-by-labindex local piece of C.

See Also

NaN MATLAB function reference page

codistributed.Inf, distributed.NaN

  


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