aboutsummaryrefslogtreecommitdiffhomepage
path: root/Eigen/src/SparseCore/SparseMatrix.h
diff options
context:
space:
mode:
Diffstat (limited to 'Eigen/src/SparseCore/SparseMatrix.h')
-rw-r--r--Eigen/src/SparseCore/SparseMatrix.h16
1 files changed, 9 insertions, 7 deletions
diff --git a/Eigen/src/SparseCore/SparseMatrix.h b/Eigen/src/SparseCore/SparseMatrix.h
index e0b7494c1..2ed2f3ebd 100644
--- a/Eigen/src/SparseCore/SparseMatrix.h
+++ b/Eigen/src/SparseCore/SparseMatrix.h
@@ -800,7 +800,9 @@ protected:
template<typename Other>
void initAssignment(const Other& other)
{
- resize(other.rows(), other.cols());
+ eigen_assert( other.rows() == typename Other::Index(Index(other.rows()))
+ && other.cols() == typename Other::Index(Index(other.cols())) );
+ resize(Index(other.rows()), Index(other.cols()));
if(m_innerNonZeros)
{
std::free(m_innerNonZeros);
@@ -940,7 +942,7 @@ void set_from_triplets(const InputIterator& begin, const InputIterator& end, Spa
enum { IsRowMajor = SparseMatrixType::IsRowMajor };
typedef typename SparseMatrixType::Scalar Scalar;
typedef typename SparseMatrixType::Index Index;
- SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor> trMat(mat.rows(),mat.cols());
+ SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,Index> trMat(mat.rows(),mat.cols());
if(begin!=end)
{
@@ -1178,7 +1180,7 @@ EIGEN_DONT_INLINE typename SparseMatrix<_Scalar,_Options,_Index>::Scalar& Sparse
size_t p = m_outerIndex[outer+1];
++m_outerIndex[outer+1];
- float reallocRatio = 1;
+ double reallocRatio = 1;
if (m_data.allocatedSize()<=m_data.size())
{
// if there is no preallocated memory, let's reserve a minimum of 32 elements
@@ -1190,13 +1192,13 @@ EIGEN_DONT_INLINE typename SparseMatrix<_Scalar,_Options,_Index>::Scalar& Sparse
{
// we need to reallocate the data, to reduce multiple reallocations
// we use a smart resize algorithm based on the current filling ratio
- // in addition, we use float to avoid integers overflows
- float nnzEstimate = float(m_outerIndex[outer])*float(m_outerSize)/float(outer+1);
- reallocRatio = (nnzEstimate-float(m_data.size()))/float(m_data.size());
+ // in addition, we use double to avoid integers overflows
+ double nnzEstimate = double(m_outerIndex[outer])*double(m_outerSize)/double(outer+1);
+ reallocRatio = (nnzEstimate-double(m_data.size()))/double(m_data.size());
// furthermore we bound the realloc ratio to:
// 1) reduce multiple minor realloc when the matrix is almost filled
// 2) avoid to allocate too much memory when the matrix is almost empty
- reallocRatio = (std::min)((std::max)(reallocRatio,1.5f),8.f);
+ reallocRatio = (std::min)((std::max)(reallocRatio,1.5),8.);
}
}
m_data.resize(m_data.size()+1,reallocRatio);