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Diff for /pkgsrc/math/eigen3/DESCR between version 1.2 and 1.3

version 1.2, 2013/04/07 20:49:37 version 1.3, 2013/04/08 18:29:41
Line 21  related algorithms. It is:
Line 21  related algorithms. It is:
   o With fixed-size objects, dynamic memory allocation is avoided, and the    o With fixed-size objects, dynamic memory allocation is avoided, and the
     loops are unrolled when that makes sense.      loops are unrolled when that makes sense.
   o For large matrices, special attention is paid to cache-friendliness.    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.
Legend:
Removed from v.1.2  
changed lines
  Added in v.1.3
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