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

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