12b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang// This file is part of Eigen, a lightweight C++ template library
22b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang// for linear algebra.
32b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang//
42b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang// Copyright (C) 2009-2010 Benoit Jacob <jacob.benoit.1@gmail.com>
52b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang// Copyright (C) 2013-2016 Gael Guennebaud <gael.guennebaud@inria.fr>
62b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang//
72b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang// This Source Code Form is subject to the terms of the Mozilla
82b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang// Public License v. 2.0. If a copy of the MPL was not distributed
92b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
102b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
112b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang#ifndef EIGEN_REALSVD2X2_H
122b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang#define EIGEN_REALSVD2X2_H
132b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
142b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wangnamespace Eigen {
152b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
162b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wangnamespace internal {
172b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
182b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wangtemplate<typename MatrixType, typename RealScalar, typename Index>
192b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wangvoid real_2x2_jacobi_svd(const MatrixType& matrix, Index p, Index q,
202b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang                         JacobiRotation<RealScalar> *j_left,
212b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang                         JacobiRotation<RealScalar> *j_right)
222b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang{
232b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  using std::sqrt;
242b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  using std::abs;
252b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  Matrix<RealScalar,2,2> m;
262b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  m << numext::real(matrix.coeff(p,p)), numext::real(matrix.coeff(p,q)),
272b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang       numext::real(matrix.coeff(q,p)), numext::real(matrix.coeff(q,q));
282b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  JacobiRotation<RealScalar> rot1;
292b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  RealScalar t = m.coeff(0,0) + m.coeff(1,1);
302b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  RealScalar d = m.coeff(1,0) - m.coeff(0,1);
312b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
322b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  if(abs(d) < (std::numeric_limits<RealScalar>::min)())
332b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  {
342b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    rot1.s() = RealScalar(0);
352b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    rot1.c() = RealScalar(1);
362b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  }
372b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  else
382b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  {
392b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    // If d!=0, then t/d cannot overflow because the magnitude of the
402b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    // entries forming d are not too small compared to the ones forming t.
412b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    RealScalar u = t / d;
422b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    RealScalar tmp = sqrt(RealScalar(1) + numext::abs2(u));
432b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    rot1.s() = RealScalar(1) / tmp;
442b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang    rot1.c() = u / tmp;
452b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  }
462b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  m.applyOnTheLeft(0,1,rot1);
472b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  j_right->makeJacobi(m,0,1);
482b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang  *j_left = rot1 * j_right->transpose();
492b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang}
502b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
512b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang} // end namespace internal
522b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
532b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang} // end namespace Eigen
542b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang
552b8756b6f1de65d3f8bffab45be6c44ceb7411fcMiao Wang#endif // EIGEN_REALSVD2X2_H
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