[Octave-bug-tracker] [bug #61143] Functions sum and mean returns wrong answer for single precision input

[Dmitri A. Sergatskov]

Follow-up Comment #12, bug #61143 (project octave):

>From the wiki page

<<<
Although there are other techniques such as Kahan summation that typically
have even smaller round-off errors, pairwise summation is nearly as good
(differing only by a logarithmic factor) while having much lower computational
cost—it can be implemented so as to have nearly the same cost (and exactly
the same number of arithmetic operations) as naive summation.
>>>

and 

<<<<
Pairwise summation is the default summation algorithm in NumPy[8] and the
Julia technical-computing language,[9] where in both cases it was found to
have comparable speed to naive summation (thanks to the use of a large base
case).

Other software implementations include the HPCsharp library[10] for the C
Sharp language and the standard library summation[11] in D.
>>>>


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