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Diffstat (limited to 'Eigen/src/OrderingMethods/Ordering.h')
| -rw-r--r-- | Eigen/src/OrderingMethods/Ordering.h | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/Eigen/src/OrderingMethods/Ordering.h b/Eigen/src/OrderingMethods/Ordering.h index fb1da1fe2..b4da6531a 100644 --- a/Eigen/src/OrderingMethods/Ordering.h +++ b/Eigen/src/OrderingMethods/Ordering.h @@ -122,26 +122,26 @@ class COLAMDOrdering template <typename MatrixType> void operator() (const MatrixType& mat, PermutationType& perm) { - int m = mat.rows(); - int n = mat.cols(); - int nnz = mat.nonZeros(); + Index m = mat.rows(); + Index n = mat.cols(); + Index nnz = mat.nonZeros(); // Get the recommended value of Alen to be used by colamd - int Alen = internal::colamd_recommended(nnz, m, n); + Index Alen = internal::colamd_recommended(nnz, m, n); // Set the default parameters double knobs [COLAMD_KNOBS]; - int stats [COLAMD_STATS]; + Index stats [COLAMD_STATS]; internal::colamd_set_defaults(knobs); - int info; + Index info; IndexVector p(n+1), A(Alen); - for(int i=0; i <= n; i++) p(i) = mat.outerIndexPtr()[i]; - for(int i=0; i < nnz; i++) A(i) = mat.innerIndexPtr()[i]; + for(Index i=0; i <= n; i++) p(i) = mat.outerIndexPtr()[i]; + for(Index i=0; i < nnz; i++) A(i) = mat.innerIndexPtr()[i]; // Call Colamd routine to compute the ordering info = internal::colamd(m, n, Alen, A.data(), p.data(), knobs, stats); eigen_assert( info && "COLAMD failed " ); perm.resize(n); - for (int i = 0; i < n; i++) perm.indices()(p(i)) = i; + for (Index i = 0; i < n; i++) perm.indices()(p(i)) = i; } }; |