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| author | asau <asau@pkgsrc.org> | 2013-04-08 18:29:37 +0000 |
|---|---|---|
| committer | asau <asau@pkgsrc.org> | 2013-04-08 18:29:37 +0000 |
| commit | 0a282957a8d1af1213b6f62d847d50b694ea2d8b (patch) | |
| tree | 6ad31e0763e055c2d920bc01ada25ae898d27bd7 /math/eigen2 | |
| parent | 0246c868a9f4c37af30ef91012cd30f3b2098693 (diff) | |
| download | pkgsrc-0a282957a8d1af1213b6f62d847d50b694ea2d8b.tar.gz | |
Revert pkglint-induced nonsense.
Diffstat (limited to 'math/eigen2')
| -rw-r--r-- | math/eigen2/DESCR | 19 |
1 files changed, 13 insertions, 6 deletions
diff --git a/math/eigen2/DESCR b/math/eigen2/DESCR index f6a63080ae5..38332b7f76d 100644 --- a/math/eigen2/DESCR +++ b/math/eigen2/DESCR @@ -8,17 +8,24 @@ related algorithms. It is: o both plain matrices/vectors and abstract expressions. o both column-major (the default) and row-major matrix storage. o both basic matrix/vector manipulation and many more advanced, specialized - modules providing algorithms for linear algebra, geometry, quaternions, or - advanced array manipulation. + modules providing algorithms for linear algebra, geometry, quaternions, + or advanced array manipulation. * Fast. o Expression templates allow to intelligently remove temporaries and enable lazy evaluation, when that is appropriate -- Eigen takes care of this automatically and handles aliasing too in most cases. o Explicit vectorization is performed for the SSE (2 and later) and AltiVec - instruction sets, with graceful fallback to non-vectorized code. Expression - templates allow to perform these optimizations globally for whole - expressions. + instruction sets, with graceful fallback to non-vectorized code. + Expression templates allow to perform these optimizations globally for + whole expressions. o With fixed-size objects, dynamic memory allocation is avoided, and the loops are unrolled when that makes sense. o For large matrices, special attention is paid to cache-friendliness. -...and more! +* Elegant. The API is extremely clean and expressive, thanks to expression + templates. Implementing an algorithm on top of Eigen feels like just copying + pseudocode. You can use complex expressions and still rely on Eigen to + produce optimized code: there is no need for you to manually decompose + expressions into small steps. +* Compiler-friendy. Eigen has very reasonable compilation times at least with + GCC, compared to other C++ libraries based on expression templates and heavy + metaprogramming. Eigen is also standard C++ and supports various compilers. |