pairwiseSum

0th

Percentile

Return an accurate floating point sum of values

This was taken by NumPy and adapted for use here. It is more accurate than a standard sum, but still has numerical issues. Its main benefit is that it is about the same amount of time as a standard time with the added accuracy.

Usage
pairwiseSum(numbers)
Arguments
numbers

A vector of numbers to sum.

Value

A sum of numbers with a rounding error of O(lg n) instead of O(n).

References

https://github.com/juliantaylor/numpy/blob/b0bc01275cac04483e6df021211c1fa2ba65eaa3/numpy/core/src/umath/loops.c.src

https://github.com/numpy/numpy/pull/3685

Aliases
  • pairwiseSum
Documentation reproduced from package PreciseSums, version 0.3, License: GPL (>= 2)

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