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authorrodent <rodent@pkgsrc.org>2013-04-07 20:49:31 +0000
committerrodent <rodent@pkgsrc.org>2013-04-07 20:49:31 +0000
commit56d0e89eec7a65cd783aaecd29fefde7b20f7a96 (patch)
tree79de035a23bbb285c8713b492fa4fa499634f7f8 /math/eigen3
parent836f824b7f7339847cc2cb57f6c10401a6122132 (diff)
downloadpkgsrc-56d0e89eec7a65cd783aaecd29fefde7b20f7a96.tar.gz
Edited DESCR in the case of:
File too long (should be no more than 24 lines). Line too long (should be no more than 80 characters). Trailing empty lines. Trailing white-space. Trucated the long files as best as possible while preserving the most info contained in them.
Diffstat (limited to 'math/eigen3')
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diff --git a/math/eigen3/DESCR b/math/eigen3/DESCR
index 60e78c89451..b6dbd3900c7 100644
--- a/math/eigen3/DESCR
+++ b/math/eigen3/DESCR
@@ -21,11 +21,4 @@ related algorithms. It is:
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.
-* 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.
+...and more!