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-rw-r--r--Eigen/src/SparseCore/TriangularSolver.h30
1 files changed, 17 insertions, 13 deletions
diff --git a/Eigen/src/SparseCore/TriangularSolver.h b/Eigen/src/SparseCore/TriangularSolver.h
index f958ab300..dd55522a7 100644
--- a/Eigen/src/SparseCore/TriangularSolver.h
+++ b/Eigen/src/SparseCore/TriangularSolver.h
@@ -28,15 +28,16 @@ template<typename Lhs, typename Rhs, int Mode>
struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Lower,RowMajor>
{
typedef typename Rhs::Scalar Scalar;
+ typedef typename Lhs::Index Index;
static void run(const Lhs& lhs, Rhs& other)
{
- for(int col=0 ; col<other.cols() ; ++col)
+ for(Index col=0 ; col<other.cols() ; ++col)
{
- for(int i=0; i<lhs.rows(); ++i)
+ for(Index i=0; i<lhs.rows(); ++i)
{
Scalar tmp = other.coeff(i,col);
Scalar lastVal(0);
- int lastIndex = 0;
+ Index lastIndex = 0;
for(typename Lhs::InnerIterator it(lhs, i); it; ++it)
{
lastVal = it.value();
@@ -62,11 +63,12 @@ template<typename Lhs, typename Rhs, int Mode>
struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Upper,RowMajor>
{
typedef typename Rhs::Scalar Scalar;
+ typedef typename Lhs::Index Index;
static void run(const Lhs& lhs, Rhs& other)
{
- for(int col=0 ; col<other.cols() ; ++col)
+ for(Index col=0 ; col<other.cols() ; ++col)
{
- for(int i=lhs.rows()-1 ; i>=0 ; --i)
+ for(Index i=lhs.rows()-1 ; i>=0 ; --i)
{
Scalar tmp = other.coeff(i,col);
Scalar l_ii = 0;
@@ -100,11 +102,12 @@ template<typename Lhs, typename Rhs, int Mode>
struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Lower,ColMajor>
{
typedef typename Rhs::Scalar Scalar;
+ typedef typename Lhs::Index Index;
static void run(const Lhs& lhs, Rhs& other)
{
- for(int col=0 ; col<other.cols() ; ++col)
+ for(Index col=0 ; col<other.cols() ; ++col)
{
- for(int i=0; i<lhs.cols(); ++i)
+ for(Index i=0; i<lhs.cols(); ++i)
{
Scalar& tmp = other.coeffRef(i,col);
if (tmp!=Scalar(0)) // optimization when other is actually sparse
@@ -132,11 +135,12 @@ template<typename Lhs, typename Rhs, int Mode>
struct sparse_solve_triangular_selector<Lhs,Rhs,Mode,Upper,ColMajor>
{
typedef typename Rhs::Scalar Scalar;
+ typedef typename Lhs::Index Index;
static void run(const Lhs& lhs, Rhs& other)
{
- for(int col=0 ; col<other.cols() ; ++col)
+ for(Index col=0 ; col<other.cols() ; ++col)
{
- for(int i=lhs.cols()-1; i>=0; --i)
+ for(Index i=lhs.cols()-1; i>=0; --i)
{
Scalar& tmp = other.coeffRef(i,col);
if (tmp!=Scalar(0)) // optimization when other is actually sparse
@@ -209,7 +213,7 @@ struct sparse_solve_triangular_sparse_selector<Lhs,Rhs,Mode,UpLo,ColMajor>
{
typedef typename Rhs::Scalar Scalar;
typedef typename promote_index_type<typename traits<Lhs>::Index,
- typename traits<Rhs>::Index>::type Index;
+ typename traits<Rhs>::Index>::type Index;
static void run(const Lhs& lhs, Rhs& other)
{
const bool IsLower = (UpLo==Lower);
@@ -219,7 +223,7 @@ struct sparse_solve_triangular_sparse_selector<Lhs,Rhs,Mode,UpLo,ColMajor>
Rhs res(other.rows(), other.cols());
res.reserve(other.nonZeros());
- for(int col=0 ; col<other.cols() ; ++col)
+ for(Index col=0 ; col<other.cols() ; ++col)
{
// FIXME estimate number of non zeros
tempVector.init(.99/*float(other.col(col).nonZeros())/float(other.rows())*/);
@@ -230,7 +234,7 @@ struct sparse_solve_triangular_sparse_selector<Lhs,Rhs,Mode,UpLo,ColMajor>
tempVector.coeffRef(rhsIt.index()) = rhsIt.value();
}
- for(int i=IsLower?0:lhs.cols()-1;
+ for(Index i=IsLower?0:lhs.cols()-1;
IsLower?i<lhs.cols():i>=0;
i+=IsLower?1:-1)
{
@@ -267,7 +271,7 @@ struct sparse_solve_triangular_sparse_selector<Lhs,Rhs,Mode,UpLo,ColMajor>
}
- int count = 0;
+ Index count = 0;
// FIXME compute a reference value to filter zeros
for (typename AmbiVector<Scalar,Index>::Iterator it(tempVector/*,1e-12*/); it; ++it)
{