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merge with default branch

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Gael Guennebaud
2014-07-10 22:04:45 +02:00
parent 61b88d2feb d1460d9278
commit 296cb40161
49 changed files with 263 additions and 167 deletions
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10
Eigen/src/SparseCore/SparseMatrix.h
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@@ -1254,7 +1254,7 @@ 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
@@ -1266,13 +1266,13 @@ 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);