4 files changed, 4 insertions, 3 deletions
diff --git a/eigen/doc/examples/Cwise_lgamma.cpp b/eigen/doc/examples/Cwise_lgamma.cpp
index f1c4f50..6bfaccb 100644
--- a/eigen/doc/examples/Cwise_lgamma.cpp
+++ b/eigen/doc/examples/Cwise_lgamma.cpp
@@ -6,4 +6,4 @@ int main()
 {
   Array4d v(0.5,10,0,-1);
   std::cout << v.lgamma() << std::endl;
-}
-\ No newline at end of file
+}
diff --git a/eigen/doc/examples/TutorialLinAlgSVDSolve.cpp b/eigen/doc/examples/TutorialLinAlgSVDSolve.cpp
index 9fbc031..f109f04 100644
--- a/eigen/doc/examples/TutorialLinAlgSVDSolve.cpp
+++ b/eigen/doc/examples/TutorialLinAlgSVDSolve.cpp
@@ -11,5 +11,5 @@ int main()
    VectorXf b = VectorXf::Random(3);
    cout << "Here is the right hand side b:\n" << b << endl;
    cout << "The least-squares solution is:\n"
-        << A.jacobiSvd(ComputeThinU | ComputeThinV).solve(b) << endl;
+        << A.bdcSvd(ComputeThinU | ComputeThinV).solve(b) << endl;
 }
diff --git a/eigen/doc/examples/Tutorial_simple_example_dynamic_size.cpp b/eigen/doc/examples/Tutorial_simple_example_dynamic_size.cpp
index 0f0280e..defcb1e 100644
--- a/eigen/doc/examples/Tutorial_simple_example_dynamic_size.cpp
+++ b/eigen/doc/examples/Tutorial_simple_example_dynamic_size.cpp
@@ -10,7 +10,7 @@ int main()
     MatrixXi m(size,size+1);         // a (size)x(size+1)-matrix of int's
     for (int j=0; j<m.cols(); ++j)   // loop over columns
       for (int i=0; i<m.rows(); ++i) // loop over rows
-        m(i,j) = i+j*m.rows();       // to access matrix coefficients,
+        m(i,j) = i+j*size;           // to access matrix coefficients,
                                      // use operator()(int,int)
     std::cout << m << "\n\n";
   }
diff --git a/eigen/doc/examples/matrixfree_cg.cpp b/eigen/doc/examples/matrixfree_cg.cpp
index 6a205ae..7469938 100644
--- a/eigen/doc/examples/matrixfree_cg.cpp
+++ b/eigen/doc/examples/matrixfree_cg.cpp
@@ -67,6 +67,7 @@ namespace internal {
       // This method should implement "dst += alpha * lhs * rhs" inplace,
       // however, for iterative solvers, alpha is always equal to 1, so let's not bother about it.
       assert(alpha==Scalar(1) && "scaling is not implemented");
+      EIGEN_ONLY_USED_FOR_DEBUG(alpha);
 
       // Here we could simply call dst.noalias() += lhs.my_matrix() * rhs,
       // but let's do something fancier (and less efficient):