This is an extremely basic question and I have to be missing something, but when trying to normalize matrix A below so that rows sum to one, some (small) differences remain: A = rand(100,4) A = A./sum(A, dims = 2) sum(sum(A, dims =2) .== 1) # fewer than 100! Why does this happen? Is there a wa…

The result is due to floating point inaccuracies. The following holds: A = rand(100,4) A = A./sum(A, dims = 2) @assert sum(sum(A, dims =2) .≈ 1) == 100 Alternate name for ≈ is isapprox.

Normalizing a vector to sum to one does not work?

General Usage

Sukera October 11, 2021, 12:41pm 8

I think this is relevant here:

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Normalizing a vector to sum to one does not work?

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