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| author | Raymond Hettinger <python@rcn.com> | 2009-04-26 22:01:46 +0000 |
|---|---|---|
| committer | Raymond Hettinger <python@rcn.com> | 2009-04-26 22:01:46 +0000 |
| commit | 344f0450b8b0fbc25ea8487aff49b3b4bc162c36 (patch) | |
| tree | 1a17a20537ebaed99f0a47f0ed0612877b5a7d7f /Doc/tutorial/floatingpoint.rst | |
| parent | 9842baae55662b173cd6ab9b33095c076817d945 (diff) | |
| download | cpython-344f0450b8b0fbc25ea8487aff49b3b4bc162c36.tar.gz | |
Add link to math.fsum().
Diffstat (limited to 'Doc/tutorial/floatingpoint.rst')
| -rw-r--r-- | Doc/tutorial/floatingpoint.rst | 10 |
1 files changed, 10 insertions, 0 deletions
diff --git a/Doc/tutorial/floatingpoint.rst b/Doc/tutorial/floatingpoint.rst index 98e299db98..a8a42029fe 100644 --- a/Doc/tutorial/floatingpoint.rst +++ b/Doc/tutorial/floatingpoint.rst @@ -189,6 +189,16 @@ Since the representation is exact, it is useful for reliably porting values across different versions of Python (platform independence) and exchanging data with other languages that support the same format (such as Java and C99). +Another helpful tool is the :func:`math.fsum` function which helps mitigate +loss-of-precision during summation. It tracks "lost digits" as values are +added onto a running total. That can make a difference in overall accuracy +so that the errors do not accumulate to the point where they affect the +final total: + + >>> sum([0.1] * 10) == 1.0 + False + >>> math.fsum([0.1] * 10) == 1.0 + True .. _tut-fp-error: |