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authorGravatar Gael Guennebaud <g.gael@free.fr>2012-02-03 23:16:52 +0100
committerGravatar Gael Guennebaud <g.gael@free.fr>2012-02-03 23:16:52 +0100
commitbc7b251cd9f520097564ce611f314fb978f4f744 (patch)
treed5857aeb99d6fde09928c13bcd226d4d321e078c /Eigen/src/SparseCore/SparseSparseProductWithPruning.h
parenta594d7ffd7700e9c7cb11fe21a96c0164f524742 (diff)
fix compilation errors with ICC
Diffstat (limited to 'Eigen/src/SparseCore/SparseSparseProductWithPruning.h')
-rw-r--r--Eigen/src/SparseCore/SparseSparseProductWithPruning.h8
1 files changed, 4 insertions, 4 deletions
diff --git a/Eigen/src/SparseCore/SparseSparseProductWithPruning.h b/Eigen/src/SparseCore/SparseSparseProductWithPruning.h
index 7fe9e7641..285861c53 100644
--- a/Eigen/src/SparseCore/SparseSparseProductWithPruning.h
+++ b/Eigen/src/SparseCore/SparseSparseProductWithPruning.h
@@ -101,7 +101,7 @@ struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,ColMajor,C
static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, RealScalar tolerance)
{
typename remove_all<ResultType>::type _res(res.rows(), res.cols());
- sparse_sparse_product_with_pruning_impl<Lhs,Rhs,ResultType>(lhs, rhs, _res, tolerance);
+ internal::sparse_sparse_product_with_pruning_impl<Lhs,Rhs,ResultType>(lhs, rhs, _res, tolerance);
res.swap(_res);
}
};
@@ -115,7 +115,7 @@ struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,ColMajor,C
// we need a col-major matrix to hold the result
typedef SparseMatrix<typename ResultType::Scalar> SparseTemporaryType;
SparseTemporaryType _res(res.rows(), res.cols());
- sparse_sparse_product_with_pruning_impl<Lhs,Rhs,SparseTemporaryType>(lhs, rhs, _res, tolerance);
+ internal::sparse_sparse_product_with_pruning_impl<Lhs,Rhs,SparseTemporaryType>(lhs, rhs, _res, tolerance);
res = _res;
}
};
@@ -128,7 +128,7 @@ struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,RowMajor,R
{
// let's transpose the product to get a column x column product
typename remove_all<ResultType>::type _res(res.rows(), res.cols());
- sparse_sparse_product_with_pruning_impl<Rhs,Lhs,ResultType>(rhs, lhs, _res, tolerance);
+ internal::sparse_sparse_product_with_pruning_impl<Rhs,Lhs,ResultType>(rhs, lhs, _res, tolerance);
res.swap(_res);
}
};
@@ -142,7 +142,7 @@ struct sparse_sparse_product_with_pruning_selector<Lhs,Rhs,ResultType,RowMajor,R
typedef SparseMatrix<typename ResultType::Scalar,ColMajor> ColMajorMatrix;
ColMajorMatrix colLhs(lhs);
ColMajorMatrix colRhs(rhs);
- sparse_sparse_product_with_pruning_impl<ColMajorMatrix,ColMajorMatrix,ResultType>(colLhs, colRhs, res, tolerance);
+ internal::sparse_sparse_product_with_pruning_impl<ColMajorMatrix,ColMajorMatrix,ResultType>(colLhs, colRhs, res, tolerance);
// let's transpose the product to get a column x column product
// typedef SparseMatrix<typename ResultType::Scalar> SparseTemporaryType;