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Diffstat (limited to 'extern/Eigen3/Eigen/src/Eigenvalues/EigenSolver.h')
-rw-r--r--extern/Eigen3/Eigen/src/Eigenvalues/EigenSolver.h32
1 files changed, 10 insertions, 22 deletions
diff --git a/extern/Eigen3/Eigen/src/Eigenvalues/EigenSolver.h b/extern/Eigen3/Eigen/src/Eigenvalues/EigenSolver.h
index f57353c065f..c16ff2b74e2 100644
--- a/extern/Eigen3/Eigen/src/Eigenvalues/EigenSolver.h
+++ b/extern/Eigen3/Eigen/src/Eigenvalues/EigenSolver.h
@@ -4,31 +4,17 @@
// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
// Copyright (C) 2010 Jitse Niesen <jitse@maths.leeds.ac.uk>
//
-// Eigen is free software; you can redistribute it and/or
-// modify it under the terms of the GNU Lesser General Public
-// License as published by the Free Software Foundation; either
-// version 3 of the License, or (at your option) any later version.
-//
-// Alternatively, you can redistribute it and/or
-// modify it under the terms of the GNU General Public License as
-// published by the Free Software Foundation; either version 2 of
-// the License, or (at your option) any later version.
-//
-// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
-// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
-// GNU General Public License for more details.
-//
-// You should have received a copy of the GNU Lesser General Public
-// License and a copy of the GNU General Public License along with
-// Eigen. If not, see <http://www.gnu.org/licenses/>.
+// This Source Code Form is subject to the terms of the Mozilla
+// Public License v. 2.0. If a copy of the MPL was not distributed
+// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
#ifndef EIGEN_EIGENSOLVER_H
#define EIGEN_EIGENSOLVER_H
-#include "./EigenvaluesCommon.h"
#include "./RealSchur.h"
+namespace Eigen {
+
/** \eigenvalues_module \ingroup Eigenvalues_Module
*
*
@@ -432,7 +418,7 @@ void EigenSolver<MatrixType>::doComputeEigenvectors()
const Scalar eps = NumTraits<Scalar>::epsilon();
// inefficient! this is already computed in RealSchur
- Scalar norm = 0.0;
+ Scalar norm(0);
for (Index j = 0; j < size; ++j)
{
norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum();
@@ -452,7 +438,7 @@ void EigenSolver<MatrixType>::doComputeEigenvectors()
// Scalar vector
if (q == Scalar(0))
{
- Scalar lastr=0, lastw=0;
+ Scalar lastr(0), lastw(0);
Index l = n;
m_matT.coeffRef(n,n) = 1.0;
@@ -498,7 +484,7 @@ void EigenSolver<MatrixType>::doComputeEigenvectors()
}
else if (q < Scalar(0) && n > 0) // Complex vector
{
- Scalar lastra=0, lastsa=0, lastw=0;
+ Scalar lastra(0), lastsa(0), lastw(0);
Index l = n-1;
// Last vector component imaginary so matrix is triangular
@@ -588,4 +574,6 @@ void EigenSolver<MatrixType>::doComputeEigenvectors()
}
}
+} // end namespace Eigen
+
#endif // EIGEN_EIGENSOLVER_H