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.h10
1 files changed, 5 insertions, 5 deletions
diff --git a/Eigen/src/SparseCore/SparseMatrix.h b/Eigen/src/SparseCore/SparseMatrix.h
index 3cfd7ae9b..4cf4f1826 100644
--- a/Eigen/src/SparseCore/SparseMatrix.h
+++ b/Eigen/src/SparseCore/SparseMatrix.h
@@ -188,7 +188,7 @@ class SparseMatrix
const Index outer = IsRowMajor ? row : col;
const Index inner = IsRowMajor ? col : row;
Index end = m_innerNonZeros ? m_outerIndex[outer] + m_innerNonZeros[outer] : m_outerIndex[outer+1];
- return m_data.atInRange(m_outerIndex[outer], end, inner);
+ return m_data.atInRange(m_outerIndex[outer], end, StorageIndex(inner));
}
/** \returns a non-const reference to the value of the matrix at position \a i, \a j
@@ -211,7 +211,7 @@ class SparseMatrix
eigen_assert(end>=start && "you probably called coeffRef on a non finalized matrix");
if(end<=start)
return insert(row,col);
- const Index p = m_data.searchLowerIndex(start,end-1,inner);
+ const Index p = m_data.searchLowerIndex(start,end-1,StorageIndex(inner));
if((p<end) && (m_data.index(p)==inner))
return m_data.value(p);
else
@@ -390,7 +390,7 @@ class SparseMatrix
* \sa insertBack, startVec */
inline Scalar& insertBackByOuterInner(Index outer, Index inner)
{
- eigen_assert(size_t(m_outerIndex[outer+1]) == m_data.size() && "Invalid ordered insertion (invalid outer index)");
+ eigen_assert(Index(m_outerIndex[outer+1]) == m_data.size() && "Invalid ordered insertion (invalid outer index)");
eigen_assert( (m_outerIndex[outer+1]-m_outerIndex[outer]==0 || m_data.index(m_data.size()-1)<inner) && "Invalid ordered insertion (invalid inner index)");
Index p = m_outerIndex[outer+1];
++m_outerIndex[outer+1];
@@ -714,9 +714,9 @@ class SparseMatrix
{
eigen_assert(rows() == cols() && "ONLY FOR SQUARED MATRICES");
this->m_data.resize(rows());
- Eigen::Map<IndexVector>(&this->m_data.index(0), rows()).setLinSpaced(0, rows()-1);
+ Eigen::Map<IndexVector>(&this->m_data.index(0), rows()).setLinSpaced(0, StorageIndex(rows()-1));
Eigen::Map<ScalarVector>(&this->m_data.value(0), rows()).setOnes();
- Eigen::Map<IndexVector>(this->m_outerIndex, rows()+1).setLinSpaced(0, rows());
+ Eigen::Map<IndexVector>(this->m_outerIndex, rows()+1).setLinSpaced(0, StorageIndex(rows()));
}
inline SparseMatrix& operator=(const SparseMatrix& other)
{