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Use a template Index for COLAMD ordering

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Desire NUENTSA 2013-03-20 16:02:03 +01:00
parent 4107b371e3
commit 22460edb49
2 changed files with 1044 additions and 1041 deletions
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1999
Eigen/src/OrderingMethods/Eigen_Colamd.h
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18
Eigen/src/OrderingMethods/Ordering.h
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@ -122,26 +122,26 @@ class COLAMDOrdering
template <typename MatrixType> template <typename MatrixType>
void operator() (const MatrixType& mat, PermutationType& perm) void operator() (const MatrixType& mat, PermutationType& perm)
{ {
int m = mat.rows(); Index m = mat.rows();
int n = mat.cols(); Index n = mat.cols();
int nnz = mat.nonZeros(); Index nnz = mat.nonZeros();
// Get the recommended value of Alen to be used by colamd // 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 // Set the default parameters
double knobs [COLAMD_KNOBS]; double knobs [COLAMD_KNOBS];
int stats [COLAMD_STATS]; Index stats [COLAMD_STATS];
internal::colamd_set_defaults(knobs); internal::colamd_set_defaults(knobs);
int info; Index info;
IndexVector p(n+1), A(Alen); IndexVector p(n+1), A(Alen);
for(int i=0; i <= n; i++) p(i) = mat.outerIndexPtr()[i]; for(Index 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 < nnz; i++) A(i) = mat.innerIndexPtr()[i];
// Call Colamd routine to compute the ordering // Call Colamd routine to compute the ordering
info = internal::colamd(m, n, Alen, A.data(), p.data(), knobs, stats); info = internal::colamd(m, n, Alen, A.data(), p.data(), knobs, stats);
eigen_assert( info && "COLAMD failed " ); eigen_assert( info && "COLAMD failed " );
perm.resize(n); 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;
} }
}; };