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| author | Stefan Otte <stefan.otte@gmail.com> | 2014-08-20 11:40:02 +0200 |
|---|---|---|
| committer | Stefan Otte <stefan.otte@gmail.com> | 2014-11-10 11:56:43 +0100 |
| commit | 1b12c394548e2d23bba83c0eccda958a28998293 (patch) | |
| tree | 6cb0d45d3af6437b66a9b630da217f2286a98558 /doc | |
| parent | 96714918d64ebf64e0e133a385da061408e4a03b (diff) | |
| download | numpy-1b12c394548e2d23bba83c0eccda958a28998293.tar.gz | |
ENH: add `multi_dot`: dot with multiple arguments.
`np.linalg.multi_dot` computes the dot product of two or more arrays in
a single function call, while automatically selecting the fastest evaluation
order.
The algorithm for selecting the fastest evaluation order uses dynamic
programming and closely follows:
Cormen, "Introduction to Algorithms", Chapter 15.2, p. 370-378
Diffstat (limited to 'doc')
| -rw-r--r-- | doc/release/1.10.0-notes.rst | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/doc/release/1.10.0-notes.rst b/doc/release/1.10.0-notes.rst index cfba0a5cd..f6111235e 100644 --- a/doc/release/1.10.0-notes.rst +++ b/doc/release/1.10.0-notes.rst @@ -8,6 +8,9 @@ Highlights ========== * numpy.distutils now supports parallel compilation via the --jobs/-j argument passed to setup.py build +* Addition of `np.linalg.multi_dot`: compute the dot product of two or more + arrays in a single function call, while automatically selecting the fastest + evaluation order. Dropped Support |