| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com> | |
| // Copyright (C) 2009 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_JACOBI_H | |
| #define EIGEN_JACOBI_H | |
| namespace Eigen { | |
| /** \ingroup Jacobi_Module | |
| * \jacobi_module | |
| * \class JacobiRotation | |
| * \brief Rotation given by a cosine-sine pair. | |
| * | |
| * This class represents a Jacobi or Givens rotation. | |
| * This is a 2D rotation in the plane \c J of angle \f$ \theta \f$ defined by | |
| * its cosine \c c and sine \c s as follow: | |
| * \f$ J = \left ( \begin{array}{cc} c & \overline s \\ -s & \overline c \end{array} \right ) \f$ | |
| * | |
| * You can apply the respective counter-clockwise rotation to a column vector \c v by | |
| * applying its adjoint on the left: \f$ v = J^* v \f$ that translates to the following Eigen code: | |
| * \code | |
| * v.applyOnTheLeft(J.adjoint()); | |
| * \endcode | |
| * | |
| * \sa MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight() | |
| */ | |
| template<typename Scalar> class JacobiRotation | |
| { | |
| public: | |
| typedef typename NumTraits<Scalar>::Real RealScalar; | |
| /** Default constructor without any initialization. */ | |
| EIGEN_DEVICE_FUNC | |
| JacobiRotation() {} | |
| /** Construct a planar rotation from a cosine-sine pair (\a c, \c s). */ | |
| EIGEN_DEVICE_FUNC | |
| JacobiRotation(const Scalar& c, const Scalar& s) : m_c(c), m_s(s) {} | |
| EIGEN_DEVICE_FUNC Scalar& c() { return m_c; } | |
| EIGEN_DEVICE_FUNC Scalar c() const { return m_c; } | |
| EIGEN_DEVICE_FUNC Scalar& s() { return m_s; } | |
| EIGEN_DEVICE_FUNC Scalar s() const { return m_s; } | |
| /** Concatenates two planar rotation */ | |
| EIGEN_DEVICE_FUNC | |
| JacobiRotation operator*(const JacobiRotation& other) | |
| { | |
| using numext::conj; | |
| return JacobiRotation(m_c * other.m_c - conj(m_s) * other.m_s, | |
| conj(m_c * conj(other.m_s) + conj(m_s) * conj(other.m_c))); | |
| } | |
| /** Returns the transposed transformation */ | |
| EIGEN_DEVICE_FUNC | |
| JacobiRotation transpose() const { using numext::conj; return JacobiRotation(m_c, -conj(m_s)); } | |
| /** Returns the adjoint transformation */ | |
| EIGEN_DEVICE_FUNC | |
| JacobiRotation adjoint() const { using numext::conj; return JacobiRotation(conj(m_c), -m_s); } | |
| template<typename Derived> | |
| EIGEN_DEVICE_FUNC | |
| bool makeJacobi(const MatrixBase<Derived>&, Index p, Index q); | |
| EIGEN_DEVICE_FUNC | |
| bool makeJacobi(const RealScalar& x, const Scalar& y, const RealScalar& z); | |
| EIGEN_DEVICE_FUNC | |
| void makeGivens(const Scalar& p, const Scalar& q, Scalar* r=0); | |
| protected: | |
| EIGEN_DEVICE_FUNC | |
| void makeGivens(const Scalar& p, const Scalar& q, Scalar* r, internal::true_type); | |
| EIGEN_DEVICE_FUNC | |
| void makeGivens(const Scalar& p, const Scalar& q, Scalar* r, internal::false_type); | |
| Scalar m_c, m_s; | |
| }; | |
| /** Makes \c *this as a Jacobi rotation \a J such that applying \a J on both the right and left sides of the selfadjoint 2x2 matrix | |
| * \f$ B = \left ( \begin{array}{cc} x & y \\ \overline y & z \end{array} \right )\f$ yields a diagonal matrix \f$ A = J^* B J \f$ | |
| * | |
| * \sa MatrixBase::makeJacobi(const MatrixBase<Derived>&, Index, Index), MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight() | |
| */ | |
| template<typename Scalar> | |
| EIGEN_DEVICE_FUNC | |
| bool JacobiRotation<Scalar>::makeJacobi(const RealScalar& x, const Scalar& y, const RealScalar& z) | |
| { | |
| using std::sqrt; | |
| using std::abs; | |
| RealScalar deno = RealScalar(2)*abs(y); | |
| if(deno < (std::numeric_limits<RealScalar>::min)()) | |
| { | |
| m_c = Scalar(1); | |
| m_s = Scalar(0); | |
| return false; | |
| } | |
| else | |
| { | |
| RealScalar tau = (x-z)/deno; | |
| RealScalar w = sqrt(numext::abs2(tau) + RealScalar(1)); | |
| RealScalar t; | |
| if(tau>RealScalar(0)) | |
| { | |
| t = RealScalar(1) / (tau + w); | |
| } | |
| else | |
| { | |
| t = RealScalar(1) / (tau - w); | |
| } | |
| RealScalar sign_t = t > RealScalar(0) ? RealScalar(1) : RealScalar(-1); | |
| RealScalar n = RealScalar(1) / sqrt(numext::abs2(t)+RealScalar(1)); | |
| m_s = - sign_t * (numext::conj(y) / abs(y)) * abs(t) * n; | |
| m_c = n; | |
| return true; | |
| } | |
| } | |
| /** Makes \c *this as a Jacobi rotation \c J such that applying \a J on both the right and left sides of the 2x2 selfadjoint matrix | |
| * \f$ B = \left ( \begin{array}{cc} \text{this}_{pp} & \text{this}_{pq} \\ (\text{this}_{pq})^* & \text{this}_{qq} \end{array} \right )\f$ yields | |
| * a diagonal matrix \f$ A = J^* B J \f$ | |
| * | |
| * Example: \include Jacobi_makeJacobi.cpp | |
| * Output: \verbinclude Jacobi_makeJacobi.out | |
| * | |
| * \sa JacobiRotation::makeJacobi(RealScalar, Scalar, RealScalar), MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight() | |
| */ | |
| template<typename Scalar> | |
| template<typename Derived> | |
| EIGEN_DEVICE_FUNC | |
| inline bool JacobiRotation<Scalar>::makeJacobi(const MatrixBase<Derived>& m, Index p, Index q) | |
| { | |
| return makeJacobi(numext::real(m.coeff(p,p)), m.coeff(p,q), numext::real(m.coeff(q,q))); | |
| } | |
| /** Makes \c *this as a Givens rotation \c G such that applying \f$ G^* \f$ to the left of the vector | |
| * \f$ V = \left ( \begin{array}{c} p \\ q \end{array} \right )\f$ yields: | |
| * \f$ G^* V = \left ( \begin{array}{c} r \\ 0 \end{array} \right )\f$. | |
| * | |
| * The value of \a r is returned if \a r is not null (the default is null). | |
| * Also note that G is built such that the cosine is always real. | |
| * | |
| * Example: \include Jacobi_makeGivens.cpp | |
| * Output: \verbinclude Jacobi_makeGivens.out | |
| * | |
| * This function implements the continuous Givens rotation generation algorithm | |
| * found in Anderson (2000), Discontinuous Plane Rotations and the Symmetric Eigenvalue Problem. | |
| * LAPACK Working Note 150, University of Tennessee, UT-CS-00-454, December 4, 2000. | |
| * | |
| * \sa MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight() | |
| */ | |
| template<typename Scalar> | |
| EIGEN_DEVICE_FUNC | |
| void JacobiRotation<Scalar>::makeGivens(const Scalar& p, const Scalar& q, Scalar* r) | |
| { | |
| makeGivens(p, q, r, typename internal::conditional<NumTraits<Scalar>::IsComplex, internal::true_type, internal::false_type>::type()); | |
| } | |
| // specialization for complexes | |
| template<typename Scalar> | |
| EIGEN_DEVICE_FUNC | |
| void JacobiRotation<Scalar>::makeGivens(const Scalar& p, const Scalar& q, Scalar* r, internal::true_type) | |
| { | |
| using std::sqrt; | |
| using std::abs; | |
| using numext::conj; | |
| if(q==Scalar(0)) | |
| { | |
| m_c = numext::real(p)<0 ? Scalar(-1) : Scalar(1); | |
| m_s = 0; | |
| if(r) *r = m_c * p; | |
| } | |
| else if(p==Scalar(0)) | |
| { | |
| m_c = 0; | |
| m_s = -q/abs(q); | |
| if(r) *r = abs(q); | |
| } | |
| else | |
| { | |
| RealScalar p1 = numext::norm1(p); | |
| RealScalar q1 = numext::norm1(q); | |
| if(p1>=q1) | |
| { | |
| Scalar ps = p / p1; | |
| RealScalar p2 = numext::abs2(ps); | |
| Scalar qs = q / p1; | |
| RealScalar q2 = numext::abs2(qs); | |
| RealScalar u = sqrt(RealScalar(1) + q2/p2); | |
| if(numext::real(p)<RealScalar(0)) | |
| u = -u; | |
| m_c = Scalar(1)/u; | |
| m_s = -qs*conj(ps)*(m_c/p2); | |
| if(r) *r = p * u; | |
| } | |
| else | |
| { | |
| Scalar ps = p / q1; | |
| RealScalar p2 = numext::abs2(ps); | |
| Scalar qs = q / q1; | |
| RealScalar q2 = numext::abs2(qs); | |
| RealScalar u = q1 * sqrt(p2 + q2); | |
| if(numext::real(p)<RealScalar(0)) | |
| u = -u; | |
| p1 = abs(p); | |
| ps = p/p1; | |
| m_c = p1/u; | |
| m_s = -conj(ps) * (q/u); | |
| if(r) *r = ps * u; | |
| } | |
| } | |
| } | |
| // specialization for reals | |
| template<typename Scalar> | |
| EIGEN_DEVICE_FUNC | |
| void JacobiRotation<Scalar>::makeGivens(const Scalar& p, const Scalar& q, Scalar* r, internal::false_type) | |
| { | |
| using std::sqrt; | |
| using std::abs; | |
| if(q==Scalar(0)) | |
| { | |
| m_c = p<Scalar(0) ? Scalar(-1) : Scalar(1); | |
| m_s = Scalar(0); | |
| if(r) *r = abs(p); | |
| } | |
| else if(p==Scalar(0)) | |
| { | |
| m_c = Scalar(0); | |
| m_s = q<Scalar(0) ? Scalar(1) : Scalar(-1); | |
| if(r) *r = abs(q); | |
| } | |
| else if(abs(p) > abs(q)) | |
| { | |
| Scalar t = q/p; | |
| Scalar u = sqrt(Scalar(1) + numext::abs2(t)); | |
| if(p<Scalar(0)) | |
| u = -u; | |
| m_c = Scalar(1)/u; | |
| m_s = -t * m_c; | |
| if(r) *r = p * u; | |
| } | |
| else | |
| { | |
| Scalar t = p/q; | |
| Scalar u = sqrt(Scalar(1) + numext::abs2(t)); | |
| if(q<Scalar(0)) | |
| u = -u; | |
| m_s = -Scalar(1)/u; | |
| m_c = -t * m_s; | |
| if(r) *r = q * u; | |
| } | |
| } | |
| /**************************************************************************************** | |
| * Implementation of MatrixBase methods | |
| ****************************************************************************************/ | |
| namespace internal { | |
| /** \jacobi_module | |
| * Applies the clock wise 2D rotation \a j to the set of 2D vectors of coordinates \a x and \a y: | |
| * \f$ \left ( \begin{array}{cc} x \\ y \end{array} \right ) = J \left ( \begin{array}{cc} x \\ y \end{array} \right ) \f$ | |
| * | |
| * \sa MatrixBase::applyOnTheLeft(), MatrixBase::applyOnTheRight() | |
| */ | |
| template<typename VectorX, typename VectorY, typename OtherScalar> | |
| EIGEN_DEVICE_FUNC | |
| void apply_rotation_in_the_plane(DenseBase<VectorX>& xpr_x, DenseBase<VectorY>& xpr_y, const JacobiRotation<OtherScalar>& j); | |
| } | |
| /** \jacobi_module | |
| * Applies the rotation in the plane \a j to the rows \a p and \a q of \c *this, i.e., it computes B = J * B, | |
| * with \f$ B = \left ( \begin{array}{cc} \text{*this.row}(p) \\ \text{*this.row}(q) \end{array} \right ) \f$. | |
| * | |
| * \sa class JacobiRotation, MatrixBase::applyOnTheRight(), internal::apply_rotation_in_the_plane() | |
| */ | |
| template<typename Derived> | |
| template<typename OtherScalar> | |
| EIGEN_DEVICE_FUNC | |
| inline void MatrixBase<Derived>::applyOnTheLeft(Index p, Index q, const JacobiRotation<OtherScalar>& j) | |
| { | |
| RowXpr x(this->row(p)); | |
| RowXpr y(this->row(q)); | |
| internal::apply_rotation_in_the_plane(x, y, j); | |
| } | |
| /** \ingroup Jacobi_Module | |
| * Applies the rotation in the plane \a j to the columns \a p and \a q of \c *this, i.e., it computes B = B * J | |
| * with \f$ B = \left ( \begin{array}{cc} \text{*this.col}(p) & \text{*this.col}(q) \end{array} \right ) \f$. | |
| * | |
| * \sa class JacobiRotation, MatrixBase::applyOnTheLeft(), internal::apply_rotation_in_the_plane() | |
| */ | |
| template<typename Derived> | |
| template<typename OtherScalar> | |
| EIGEN_DEVICE_FUNC | |
| inline void MatrixBase<Derived>::applyOnTheRight(Index p, Index q, const JacobiRotation<OtherScalar>& j) | |
| { | |
| ColXpr x(this->col(p)); | |
| ColXpr y(this->col(q)); | |
| internal::apply_rotation_in_the_plane(x, y, j.transpose()); | |
| } | |
| namespace internal { | |
| template<typename Scalar, typename OtherScalar, | |
| int SizeAtCompileTime, int MinAlignment, bool Vectorizable> | |
| struct apply_rotation_in_the_plane_selector | |
| { | |
| static EIGEN_DEVICE_FUNC | |
| inline void run(Scalar *x, Index incrx, Scalar *y, Index incry, Index size, OtherScalar c, OtherScalar s) | |
| { | |
| for(Index i=0; i<size; ++i) | |
| { | |
| Scalar xi = *x; | |
| Scalar yi = *y; | |
| *x = c * xi + numext::conj(s) * yi; | |
| *y = -s * xi + numext::conj(c) * yi; | |
| x += incrx; | |
| y += incry; | |
| } | |
| } | |
| }; | |
| template<typename Scalar, typename OtherScalar, | |
| int SizeAtCompileTime, int MinAlignment> | |
| struct apply_rotation_in_the_plane_selector<Scalar,OtherScalar,SizeAtCompileTime,MinAlignment,true /* vectorizable */> | |
| { | |
| static inline void run(Scalar *x, Index incrx, Scalar *y, Index incry, Index size, OtherScalar c, OtherScalar s) | |
| { | |
| enum { | |
| PacketSize = packet_traits<Scalar>::size, | |
| OtherPacketSize = packet_traits<OtherScalar>::size | |
| }; | |
| typedef typename packet_traits<Scalar>::type Packet; | |
| typedef typename packet_traits<OtherScalar>::type OtherPacket; | |
| /*** dynamic-size vectorized paths ***/ | |
| if(SizeAtCompileTime == Dynamic && ((incrx==1 && incry==1) || PacketSize == 1)) | |
| { | |
| // both vectors are sequentially stored in memory => vectorization | |
| enum { Peeling = 2 }; | |
| Index alignedStart = internal::first_default_aligned(y, size); | |
| Index alignedEnd = alignedStart + ((size-alignedStart)/PacketSize)*PacketSize; | |
| const OtherPacket pc = pset1<OtherPacket>(c); | |
| const OtherPacket ps = pset1<OtherPacket>(s); | |
| conj_helper<OtherPacket,Packet,NumTraits<OtherScalar>::IsComplex,false> pcj; | |
| conj_helper<OtherPacket,Packet,false,false> pm; | |
| for(Index i=0; i<alignedStart; ++i) | |
| { | |
| Scalar xi = x[i]; | |
| Scalar yi = y[i]; | |
| x[i] = c * xi + numext::conj(s) * yi; | |
| y[i] = -s * xi + numext::conj(c) * yi; | |
| } | |
| Scalar* EIGEN_RESTRICT px = x + alignedStart; | |
| Scalar* EIGEN_RESTRICT py = y + alignedStart; | |
| if(internal::first_default_aligned(x, size)==alignedStart) | |
| { | |
| for(Index i=alignedStart; i<alignedEnd; i+=PacketSize) | |
| { | |
| Packet xi = pload<Packet>(px); | |
| Packet yi = pload<Packet>(py); | |
| pstore(px, padd(pm.pmul(pc,xi),pcj.pmul(ps,yi))); | |
| pstore(py, psub(pcj.pmul(pc,yi),pm.pmul(ps,xi))); | |
| px += PacketSize; | |
| py += PacketSize; | |
| } | |
| } | |
| else | |
| { | |
| Index peelingEnd = alignedStart + ((size-alignedStart)/(Peeling*PacketSize))*(Peeling*PacketSize); | |
| for(Index i=alignedStart; i<peelingEnd; i+=Peeling*PacketSize) | |
| { | |
| Packet xi = ploadu<Packet>(px); | |
| Packet xi1 = ploadu<Packet>(px+PacketSize); | |
| Packet yi = pload <Packet>(py); | |
| Packet yi1 = pload <Packet>(py+PacketSize); | |
| pstoreu(px, padd(pm.pmul(pc,xi),pcj.pmul(ps,yi))); | |
| pstoreu(px+PacketSize, padd(pm.pmul(pc,xi1),pcj.pmul(ps,yi1))); | |
| pstore (py, psub(pcj.pmul(pc,yi),pm.pmul(ps,xi))); | |
| pstore (py+PacketSize, psub(pcj.pmul(pc,yi1),pm.pmul(ps,xi1))); | |
| px += Peeling*PacketSize; | |
| py += Peeling*PacketSize; | |
| } | |
| if(alignedEnd!=peelingEnd) | |
| { | |
| Packet xi = ploadu<Packet>(x+peelingEnd); | |
| Packet yi = pload <Packet>(y+peelingEnd); | |
| pstoreu(x+peelingEnd, padd(pm.pmul(pc,xi),pcj.pmul(ps,yi))); | |
| pstore (y+peelingEnd, psub(pcj.pmul(pc,yi),pm.pmul(ps,xi))); | |
| } | |
| } | |
| for(Index i=alignedEnd; i<size; ++i) | |
| { | |
| Scalar xi = x[i]; | |
| Scalar yi = y[i]; | |
| x[i] = c * xi + numext::conj(s) * yi; | |
| y[i] = -s * xi + numext::conj(c) * yi; | |
| } | |
| } | |
| /*** fixed-size vectorized path ***/ | |
| else if(SizeAtCompileTime != Dynamic && MinAlignment>0) // FIXME should be compared to the required alignment | |
| { | |
| const OtherPacket pc = pset1<OtherPacket>(c); | |
| const OtherPacket ps = pset1<OtherPacket>(s); | |
| conj_helper<OtherPacket,Packet,NumTraits<OtherPacket>::IsComplex,false> pcj; | |
| conj_helper<OtherPacket,Packet,false,false> pm; | |
| Scalar* EIGEN_RESTRICT px = x; | |
| Scalar* EIGEN_RESTRICT py = y; | |
| for(Index i=0; i<size; i+=PacketSize) | |
| { | |
| Packet xi = pload<Packet>(px); | |
| Packet yi = pload<Packet>(py); | |
| pstore(px, padd(pm.pmul(pc,xi),pcj.pmul(ps,yi))); | |
| pstore(py, psub(pcj.pmul(pc,yi),pm.pmul(ps,xi))); | |
| px += PacketSize; | |
| py += PacketSize; | |
| } | |
| } | |
| /*** non-vectorized path ***/ | |
| else | |
| { | |
| apply_rotation_in_the_plane_selector<Scalar,OtherScalar,SizeAtCompileTime,MinAlignment,false>::run(x,incrx,y,incry,size,c,s); | |
| } | |
| } | |
| }; | |
| template<typename VectorX, typename VectorY, typename OtherScalar> | |
| EIGEN_DEVICE_FUNC | |
| void /*EIGEN_DONT_INLINE*/ apply_rotation_in_the_plane(DenseBase<VectorX>& xpr_x, DenseBase<VectorY>& xpr_y, const JacobiRotation<OtherScalar>& j) | |
| { | |
| typedef typename VectorX::Scalar Scalar; | |
| const bool Vectorizable = (VectorX::Flags & VectorY::Flags & PacketAccessBit) | |
| && (int(packet_traits<Scalar>::size) == int(packet_traits<OtherScalar>::size)); | |
| eigen_assert(xpr_x.size() == xpr_y.size()); | |
| Index size = xpr_x.size(); | |
| Index incrx = xpr_x.derived().innerStride(); | |
| Index incry = xpr_y.derived().innerStride(); | |
| Scalar* EIGEN_RESTRICT x = &xpr_x.derived().coeffRef(0); | |
| Scalar* EIGEN_RESTRICT y = &xpr_y.derived().coeffRef(0); | |
| OtherScalar c = j.c(); | |
| OtherScalar s = j.s(); | |
| if (c==OtherScalar(1) && s==OtherScalar(0)) | |
| return; | |
| apply_rotation_in_the_plane_selector< | |
| Scalar,OtherScalar, | |
| VectorX::SizeAtCompileTime, | |
| EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment), | |
| Vectorizable>::run(x,incrx,y,incry,size,c,s); | |
| } | |
| } // end namespace internal | |
| } // end namespace Eigen | |
| #endif // EIGEN_JACOBI_H |