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D = distributed.NaN(n)
D = distributed.NaN(m, n, ...)
D
= distributed.NaN([m, n, ...])
D = distributed.NaN(..., classname)
D = distributed.NaN(n) creates an n-by-n codistributed matrix of NaN values.
D = distributed.NaN(m, n, ...) or D = distributed.NaN([m, n, ...]) creates an m-by-n-by-... distributed array of NaN values.
D = distributed.NaN(..., classname) specifies the class of the distributed array D. Valid choices are the same as for the regular NaN function: 'double' (the default), or 'single'.
Create a 1000-by-1000 distributed matrix of NaN values of class double:
D = distributed.NaN(1000)
Inf MATLAB function reference page
codistributed.NaN, distributed.Inf
![]() | distributed.Inf | distributed.ones | ![]() |

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