Sparse module:

* several fixes (transpose, matrix product, etc...)
 * Added a basic cholesky factorization
 * Added a low level hybrid dense/sparse vector class
   to help writing code involving intensive read/write
   in a fixed vector. It is currently used to implement
   the matrix product itself as well as in the Cholesky
   factorization.

Eigen/src/Cholesky/Cholesky.h

@@ -59,7 +59,7 @@ template<typename MatrixType> class Cholesky
     };
 
   public:
-  
+
     Cholesky(const MatrixType& matrix)
       : m_matrix(matrix.rows(), matrix.cols())
     {