- updated to stable 2.0.2

- better description (from project site)

Changed files:
    eigen.spec -> 1.5

diff --git a/eigen.spec b/eigen.spec
index 5a8f427afb7d68a9c59b981521be87632fac8faf..a551e6274fe6899260622adad94169a20e53d2a5 100644 (file)
--- a/eigen.spec
+++ b/eigen.spec
@@ -1,21 +1,51 @@
-%define                _rc     rc1
+
 Summary:       template library for linear algebra
 Name:          eigen
-Version:       2.0
-Release:       0.%{_rc}.1
+Version:       2.0.2
+Release:       1
 License:       GPL v2
 Group:         Libraries
-Source0:       http://download.tuxfamily.org/eigen/%{name}-%{version}-%{_rc}.tar.bz2
-# Source0-md5: 4bfeb40641017bc93df024a20c0d0807
+Source0:       http://download.tuxfamily.org/eigen/%{name}-%{version}.tar.bz2
+# Source0-md5: b2c34144943671a8689b6fab20c52836
 URL:           http://eigen.tuxfamily.org/index.php?title=Main_Page
 BuildRoot:     %{tmpdir}/%{name}-%{version}-root-%(id -u -n)
 
 %description
-Eigen is a lightweight C++ template library for vector and matrix
-math, a.k.a. linear algebra.
+Eigen is a C++ template library for linear algebra: vectors, matrices,
+and related algorithms. It is:
+
+- Versatile. (See modules and tutorial). Eigen handles, without code
+  duplication, and in a completely integrated way: o both fixed-size and
+  dynamic-size matrices and vectors. o both dense and sparse (the latter
+  is still experimental) matrices and vectors. 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.
+- Fast. (See benchmark). 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. 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. (See API showcase). 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.
 
 %prep
-%setup -q -n %{name}2
+%setup -q
 
 %build
 install -d build