Julia equivalent of Python's "fsum" for floating point summation

General Usage
20

It’s a pretty neat trick too, and definitely a hard default to argue against. I was just noticing that each pass of the pairwise sum makes a partial Kahan sum on the remaining values 50% cheaper

Another approach

function finiteDif_sum(arr, d= 0.0)
  x = 0.0; y=0.0;
  y += d;
  for i in arr
    x = x + x-y + d + i;  ## +y-x -d ?
    y = y + i + y + i - x - d; ## and + x - y - i + d ?
    end;
  [x,y - d]
  end;

Add- might’ve gotten the x-y around the wrong way