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authorGravatar Gael Guennebaud <g.gael@free.fr>2016-06-09 17:11:03 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2016-06-09 17:11:03 +0200
commitc1f9ca925405c8fad126f327b4bdca7f983fc96e (patch)
tree06f6cb2be66d89cc553426d335a8c3ee6b0c4689
parent15890c304edbccedc8a989468ed3fc475f428059 (diff)
Update RealQZ to reduce 2x2 diagonal block of T corresponding to non reduced diagonal block of S to positive diagonal form.
This step involve a real 2x2 SVD problem. The respective routine is thus in src/misc/ to be shared by both EVD and AVD modules.
-rw-r--r--Eigen/Eigenvalues1
-rw-r--r--Eigen/SVD1
-rw-r--r--Eigen/src/Eigenvalues/RealQZ.h32
-rw-r--r--Eigen/src/SVD/JacobiSVD.h32
-rw-r--r--Eigen/src/misc/RealSvd2x2.h54
5 files changed, 87 insertions, 33 deletions
diff --git a/Eigen/Eigenvalues b/Eigen/Eigenvalues
index ea93eb303..216a6d51d 100644
--- a/Eigen/Eigenvalues
+++ b/Eigen/Eigenvalues
@@ -32,6 +32,7 @@
* \endcode
*/
+#include "src/misc/RealSvd2x2.h"
#include "src/Eigenvalues/Tridiagonalization.h"
#include "src/Eigenvalues/RealSchur.h"
#include "src/Eigenvalues/EigenSolver.h"
diff --git a/Eigen/SVD b/Eigen/SVD
index b353f3f54..565d9c90d 100644
--- a/Eigen/SVD
+++ b/Eigen/SVD
@@ -31,6 +31,7 @@
* \endcode
*/
+#include "src/misc/RealSvd2x2.h"
#include "src/SVD/UpperBidiagonalization.h"
#include "src/SVD/SVDBase.h"
#include "src/SVD/JacobiSVD.h"
diff --git a/Eigen/src/Eigenvalues/RealQZ.h b/Eigen/src/Eigenvalues/RealQZ.h
index a62071d42..c4715b954 100644
--- a/Eigen/src/Eigenvalues/RealQZ.h
+++ b/Eigen/src/Eigenvalues/RealQZ.h
@@ -552,7 +552,6 @@ namespace Eigen {
m_T.coeffRef(l,l-1) = Scalar(0.0);
}
-
template<typename MatrixType>
RealQZ<MatrixType>& RealQZ<MatrixType>::compute(const MatrixType& A_in, const MatrixType& B_in, bool computeQZ)
{
@@ -616,6 +615,37 @@ namespace Eigen {
}
// check if we converged before reaching iterations limit
m_info = (local_iter<m_maxIters) ? Success : NoConvergence;
+
+ // For each non triangular 2x2 diagonal block of S,
+ // reduce the respective 2x2 diagonal block of T to positive diagonal form using 2x2 SVD.
+ // This step is not mandatory for QZ, but it does help further extraction of eigenvalues/eigenvectors,
+ // and is in par with Lapack/Matlab QZ.
+ if(m_info==Success)
+ {
+ for(Index i=0; i<dim-1; ++i)
+ {
+ if(m_S.coeff(i+1, i) != Scalar(0))
+ {
+ JacobiRotation<Scalar> j_left, j_right;
+ internal::real_2x2_jacobi_svd(m_T, i, i+1, &j_left, &j_right);
+
+ // Apply resulting Jacobi rotations
+ m_T.applyOnTheLeft(i,i+1,j_left);
+ m_T.applyOnTheRight(i,i+1,j_right);
+ m_S.applyOnTheLeft(i,i+1,j_left);
+ m_S.applyOnTheRight(i,i+1,j_right);
+ m_T(i,i+1) = Scalar(0);
+
+ if(m_computeQZ) {
+ m_Q.applyOnTheRight(i,i+1,j_left.transpose());
+ m_Z.applyOnTheLeft(i,i+1,j_right.transpose());
+ }
+
+ i++;
+ }
+ }
+ }
+
return *this;
} // end compute
diff --git a/Eigen/src/SVD/JacobiSVD.h b/Eigen/src/SVD/JacobiSVD.h
index 1940c8294..b83fd7a4d 100644
--- a/Eigen/src/SVD/JacobiSVD.h
+++ b/Eigen/src/SVD/JacobiSVD.h
@@ -419,38 +419,6 @@ struct svd_precondition_2x2_block_to_be_real<MatrixType, QRPreconditioner, true>
}
};
-template<typename MatrixType, typename RealScalar, typename Index>
-void real_2x2_jacobi_svd(const MatrixType& matrix, Index p, Index q,
- JacobiRotation<RealScalar> *j_left,
- JacobiRotation<RealScalar> *j_right)
-{
- using std::sqrt;
- using std::abs;
- Matrix<RealScalar,2,2> m;
- m << numext::real(matrix.coeff(p,p)), numext::real(matrix.coeff(p,q)),
- numext::real(matrix.coeff(q,p)), numext::real(matrix.coeff(q,q));
- JacobiRotation<RealScalar> rot1;
- RealScalar t = m.coeff(0,0) + m.coeff(1,1);
- RealScalar d = m.coeff(1,0) - m.coeff(0,1);
- if(d == RealScalar(0))
- {
- rot1.s() = RealScalar(0);
- rot1.c() = RealScalar(1);
- }
- else
- {
- // If d!=0, then t/d cannot overflow because the magnitude of the
- // entries forming d are not too small compared to the ones forming t.
- RealScalar u = t / d;
- RealScalar tmp = sqrt(RealScalar(1) + numext::abs2(u));
- rot1.s() = RealScalar(1) / tmp;
- rot1.c() = u / tmp;
- }
- m.applyOnTheLeft(0,1,rot1);
- j_right->makeJacobi(m,0,1);
- *j_left = rot1 * j_right->transpose();
-}
-
template<typename _MatrixType, int QRPreconditioner>
struct traits<JacobiSVD<_MatrixType,QRPreconditioner> >
{
diff --git a/Eigen/src/misc/RealSvd2x2.h b/Eigen/src/misc/RealSvd2x2.h
new file mode 100644
index 000000000..cdd7777d2
--- /dev/null
+++ b/Eigen/src/misc/RealSvd2x2.h
@@ -0,0 +1,54 @@
+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2009-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
+// Copyright (C) 2013-2016 Gael Guennebaud <gael.guennebaud@inria.fr>
+//
+// 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_REALSVD2X2_H
+#define EIGEN_REALSVD2X2_H
+
+namespace Eigen {
+
+namespace internal {
+
+template<typename MatrixType, typename RealScalar, typename Index>
+void real_2x2_jacobi_svd(const MatrixType& matrix, Index p, Index q,
+ JacobiRotation<RealScalar> *j_left,
+ JacobiRotation<RealScalar> *j_right)
+{
+ using std::sqrt;
+ using std::abs;
+ Matrix<RealScalar,2,2> m;
+ m << numext::real(matrix.coeff(p,p)), numext::real(matrix.coeff(p,q)),
+ numext::real(matrix.coeff(q,p)), numext::real(matrix.coeff(q,q));
+ JacobiRotation<RealScalar> rot1;
+ RealScalar t = m.coeff(0,0) + m.coeff(1,1);
+ RealScalar d = m.coeff(1,0) - m.coeff(0,1);
+ if(d == RealScalar(0))
+ {
+ rot1.s() = RealScalar(0);
+ rot1.c() = RealScalar(1);
+ }
+ else
+ {
+ // If d!=0, then t/d cannot overflow because the magnitude of the
+ // entries forming d are not too small compared to the ones forming t.
+ RealScalar u = t / d;
+ RealScalar tmp = sqrt(RealScalar(1) + numext::abs2(u));
+ rot1.s() = RealScalar(1) / tmp;
+ rot1.c() = u / tmp;
+ }
+ m.applyOnTheLeft(0,1,rot1);
+ j_right->makeJacobi(m,0,1);
+ *j_left = rot1 * j_right->transpose();
+}
+
+} // end namespace internal
+
+} // end namespace Eigen
+
+#endif // EIGEN_REALSVD2X2_H \ No newline at end of file