On 19Dec2022 08:53, Cameron Simpson <c...@cskk.id.au> wrote:
I'm no expert on floating point coding for precision, but I believe that trying to work with values "close together" in magnitude is important because values of different scales inherently convert one of them to the other scale (i.e. similar sized exponent part) with corresponding loss of precision in the mantissa part. That may require you to form your calcutations carefully.
This depends on the operation. With addition/subtraction you'd see this directly. With multiplication etc it isn't really the case. But there are both more and less effective ways to arrange your floating point math in terms of preserving what precision you have.
Cheers, Cameron Simpson <c...@cskk.id.au> -- https://mail.python.org/mailman/listinfo/python-list
