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-rw-r--r--Eigen/src/Core/PermutationMatrix.h2
-rw-r--r--test/stdvector_overload.cpp4
-rw-r--r--test/svd.cpp4
-rw-r--r--test/swap.cpp4
-rw-r--r--test/triangular.cpp4
-rw-r--r--unsupported/Eigen/src/NumericalDiff/NumericalDiff.h2
-rw-r--r--unsupported/test/NonLinearOptimization.cpp2
7 files changed, 11 insertions, 11 deletions
diff --git a/Eigen/src/Core/PermutationMatrix.h b/Eigen/src/Core/PermutationMatrix.h
index 8227c9bf9..42832265d 100644
--- a/Eigen/src/Core/PermutationMatrix.h
+++ b/Eigen/src/Core/PermutationMatrix.h
@@ -192,7 +192,7 @@ class PermutationMatrix : public EigenBase<PermutationMatrix<SizeAtCompileTime,
/** Sets *this to be the identity permutation matrix of given size.
*/
- void setIdentity(int size)
+ void setIdentity(Index size)
{
resize(size);
setIdentity();
diff --git a/test/stdvector_overload.cpp b/test/stdvector_overload.cpp
index 86f4308ad..898719a26 100644
--- a/test/stdvector_overload.cpp
+++ b/test/stdvector_overload.cpp
@@ -43,8 +43,8 @@ EIGEN_DEFINE_STL_VECTOR_SPECIALIZATION(Quaterniond)
template<typename MatrixType>
void check_stdvector_matrix(const MatrixType& m)
{
- int rows = m.rows();
- int cols = m.cols();
+ typename MatrixType::Index rows = m.rows();
+ typename MatrixType::Index cols = m.cols();
MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
std::vector<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
v[5] = x;
diff --git a/test/svd.cpp b/test/svd.cpp
index 9f3072d3b..fbeba795b 100644
--- a/test/svd.cpp
+++ b/test/svd.cpp
@@ -31,8 +31,8 @@ template<typename MatrixType> void svd(const MatrixType& m)
/* this test covers the following files:
SVD.h
*/
- int rows = m.rows();
- int cols = m.cols();
+ typename MatrixType::Index rows = m.rows();
+ typename MatrixType::Index cols = m.cols();
typedef typename MatrixType::Scalar Scalar;
typedef typename NumTraits<Scalar>::Real RealScalar;
diff --git a/test/swap.cpp b/test/swap.cpp
index c11f0fec0..74543a662 100644
--- a/test/swap.cpp
+++ b/test/swap.cpp
@@ -43,8 +43,8 @@ template<typename MatrixType> void swap(const MatrixType& m)
typedef typename MatrixType::Scalar Scalar;
ei_assert((!ei_is_same_type<MatrixType,OtherMatrixType>::ret));
- int rows = m.rows();
- int cols = m.cols();
+ typename MatrixType::Index rows = m.rows();
+ typename MatrixType::Index cols = m.cols();
// construct 3 matrix guaranteed to be distinct
MatrixType m1 = MatrixType::Random(rows,cols);
diff --git a/test/triangular.cpp b/test/triangular.cpp
index 302984eb7..673a3d25f 100644
--- a/test/triangular.cpp
+++ b/test/triangular.cpp
@@ -34,8 +34,8 @@ template<typename MatrixType> void triangular_square(const MatrixType& m)
RealScalar largerEps = 10*test_precision<RealScalar>();
- int rows = m.rows();
- int cols = m.cols();
+ typename MatrixType::Index rows = m.rows();
+ typename MatrixType::Index cols = m.cols();
MatrixType m1 = MatrixType::Random(rows, cols),
m2 = MatrixType::Random(rows, cols),
diff --git a/unsupported/Eigen/src/NumericalDiff/NumericalDiff.h b/unsupported/Eigen/src/NumericalDiff/NumericalDiff.h
index a25c9cd6d..e840dd461 100644
--- a/unsupported/Eigen/src/NumericalDiff/NumericalDiff.h
+++ b/unsupported/Eigen/src/NumericalDiff/NumericalDiff.h
@@ -79,7 +79,7 @@ public:
/* Local variables */
Scalar h;
int nfev=0;
- const int n = _x.size();
+ const typename InputType::Index n = _x.size();
const Scalar eps = ei_sqrt((std::max(epsfcn,NumTraits<Scalar>::epsilon() )));
ValueType val1, val2;
InputType x = _x;
diff --git a/unsupported/test/NonLinearOptimization.cpp b/unsupported/test/NonLinearOptimization.cpp
index cb70f2a74..851c534f6 100644
--- a/unsupported/test/NonLinearOptimization.cpp
+++ b/unsupported/test/NonLinearOptimization.cpp
@@ -447,7 +447,7 @@ struct lmstr_functor : Functor<double>
}
return 0;
}
- int df(const VectorXd &x, VectorXd &jac_row, int rownb)
+ int df(const VectorXd &x, VectorXd &jac_row, VectorXd::Index rownb)
{
assert(x.size()==3);
assert(jac_row.size()==x.size());