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| author |  luz.paz <luzpaz@users.noreply.github.com> | 2018-03-11 10:01:44 -0400 |
|---|---|---|
| committer | luz.paz <luzpaz@users.noreply.github.com> | 2018-03-11 10:01:44 -0400 |
| commit | e3912f5e63b0c08a0f592ad425e926a5d61e1b8a (patch) | |
| tree | c82a9386d11ff2b4f335c6de040afc1c32990d2b /doc/TopicLinearAlgebraDecompositions.dox | |
| parent | 624df5094597ef4427ba8877dcf00804493160fe (diff) | |
MIsc. source and comment typos
Found using `codespell` and `grep` from downstream FreeCAD
Diffstat (limited to 'doc/TopicLinearAlgebraDecompositions.dox')
| -rw-r--r-- | doc/TopicLinearAlgebraDecompositions.dox | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/TopicLinearAlgebraDecompositions.dox b/doc/TopicLinearAlgebraDecompositions.dox index 491470627..991f964cc 100644 --- a/doc/TopicLinearAlgebraDecompositions.dox +++ b/doc/TopicLinearAlgebraDecompositions.dox @@ -248,7 +248,7 @@ To get an overview of the true relative speed of the different decomposition, ch <dt><b>Blocking</b></dt> <dd>Means the algorithm can work per block, whence guaranteeing a good scaling of the performance for large matrices.</dd> <dt><b>Implicit Multi Threading (MT)</b></dt> - <dd>Means the algorithm can take advantage of multicore processors via OpenMP. "Implicit" means the algortihm itself is not parallelized, but that it relies on parallelized matrix-matrix product rountines.</dd> + <dd>Means the algorithm can take advantage of multicore processors via OpenMP. "Implicit" means the algortihm itself is not parallelized, but that it relies on parallelized matrix-matrix product routines.</dd> <dt><b>Explicit Multi Threading (MT)</b></dt> <dd>Means the algorithm is explicitly parallelized to take advantage of multicore processors via OpenMP.</dd> <dt><b>Meta-unroller</b></dt> |