Pairwise summation — where it appears
Named by 3 essays across 2 fields — each of them below, with the objects they name alongside it.
Where the disagreement comes from
The error of a reduction is a walk whose step length is the spacing of the running total, not of the answer. That one sentence predicts the size of the disagreement to a factor of two, explains why dividing the work makes it smaller, and explains why the value cannot be predicted at all.
The order they are added in
Addition is associative in the algebra and is not associative in the arithmetic. The same million numbers, added in a different order, give answers that differ in the third significant figure — and the fix is not a wider float, it is a different order.
The formula sets the power, the sum sets the constant
The one-pass variance was found losing three to sixty-nine times more than the digits-lost rule allows, and the explanation offered — operands built from a thousand roundings — was never priced. Measured against the exact variance of the stored data, the rule's ratio is the variance's own condition number squared, and the formula decides what power of it the error grows with: two for every one-pass variant, one for Welford's update, none for two passes or a shift. The summation decides only the constant in front — about 0.4√n for running sums, one for pairwise or compensated ones — and the sixty-nine was neither: it belonged to the random numbers.
Named alongside it
The objects these essays reach for when they reach for this one.
Error accumulationKahan summationSummation condition numberUnit roundoffAssociativityCatastrophic cancellationCondition numberGaussian eliminationGram–SchmidtRandom walkReduction orderReduction tree