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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
* rename JacobiRotation => PlanarRotation
* move the makeJacobi and make_givens_* to PlanarRotation * rename applyJacobi* => apply*
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@@ -80,34 +80,6 @@ template<typename _MatrixType> class ComplexSchur
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bool m_isInitialized;
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};
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// computes the plane rotation G such that G' x |p| = | c s' |' |p| = |z|
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// |q| |-s c' | |q| |0|
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// and returns z if requested. Note that the returned c is real.
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template<typename T> void ei_make_givens(const std::complex<T>& p, const std::complex<T>& q,
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JacobiRotation<std::complex<T> >& rot, std::complex<T>* z=0)
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{
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typedef std::complex<T> Complex;
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T scale, absx, absxy;
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if(p==Complex(0))
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{
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// return identity
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rot.c() = Complex(1,0);
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rot.s() = Complex(0,0);
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if(z) *z = p;
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}
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else
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{
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scale = cnorm1(p);
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absx = scale * ei_sqrt(ei_abs2(p/scale));
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scale = ei_abs(scale) + cnorm1(q);
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absxy = scale * ei_sqrt((absx/scale)*(absx/scale) + ei_abs2(q/scale));
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rot.c() = Complex(absx / absxy);
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Complex np = p/absx;
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rot.s() = -ei_conj(np) * q / absxy;
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if(z) *z = np * absxy;
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}
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}
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template<typename MatrixType>
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void ComplexSchur<MatrixType>::compute(const MatrixType& matrix)
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{
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@@ -133,8 +105,8 @@ void ComplexSchur<MatrixType>::compute(const MatrixType& matrix)
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//locate the range in which to iterate
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while(iu > 0)
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{
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d = cnorm1(m_matT.coeffRef(iu,iu)) + cnorm1(m_matT.coeffRef(iu-1,iu-1));
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sd = cnorm1(m_matT.coeffRef(iu,iu-1));
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d = ei_norm1(m_matT.coeffRef(iu,iu)) + ei_norm1(m_matT.coeffRef(iu-1,iu-1));
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sd = ei_norm1(m_matT.coeffRef(iu,iu-1));
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if(sd >= eps * d) break; // FIXME : precision criterion ??
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@@ -156,8 +128,8 @@ void ComplexSchur<MatrixType>::compute(const MatrixType& matrix)
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while( il > 0 )
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{
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// check if the current 2x2 block on the diagonal is upper triangular
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d = cnorm1(m_matT.coeffRef(il,il)) + cnorm1(m_matT.coeffRef(il-1,il-1));
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sd = cnorm1(m_matT.coeffRef(il,il-1));
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d = ei_norm1(m_matT.coeffRef(il,il)) + ei_norm1(m_matT.coeffRef(il-1,il-1));
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sd = ei_norm1(m_matT.coeffRef(il,il-1));
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if(sd < eps * d) break; // FIXME : precision criterion ??
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@@ -179,32 +151,32 @@ void ComplexSchur<MatrixType>::compute(const MatrixType& matrix)
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r1 = (b+disc)/RealScalar(2);
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r2 = (b-disc)/RealScalar(2);
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if(cnorm1(r1) > cnorm1(r2))
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if(ei_norm1(r1) > ei_norm1(r2))
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r2 = c/r1;
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else
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r1 = c/r2;
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if(cnorm1(r1-t.coeff(1,1)) < cnorm1(r2-t.coeff(1,1)))
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if(ei_norm1(r1-t.coeff(1,1)) < ei_norm1(r2-t.coeff(1,1)))
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kappa = sf * r1;
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else
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kappa = sf * r2;
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// perform the QR step using Givens rotations
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JacobiRotation<Complex> rot;
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ei_make_givens(m_matT.coeff(il,il) - kappa, m_matT.coeff(il+1,il), rot);
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PlanarRotation<Complex> rot;
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rot.makeGivens(m_matT.coeff(il,il) - kappa, m_matT.coeff(il+1,il));
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for(int i=il ; i<iu ; i++)
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{
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m_matT.block(0,i,n,n-i).applyJacobiOnTheLeft(i, i+1, rot.adjoint());
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m_matT.block(0,0,std::min(i+2,iu)+1,n).applyJacobiOnTheRight(i, i+1, rot);
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m_matU.applyJacobiOnTheRight(i, i+1, rot);
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m_matT.block(0,i,n,n-i).applyOnTheLeft(i, i+1, rot.adjoint());
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m_matT.block(0,0,std::min(i+2,iu)+1,n).applyOnTheRight(i, i+1, rot);
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m_matU.applyOnTheRight(i, i+1, rot);
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if(i != iu-1)
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{
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int i1 = i+1;
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int i2 = i+2;
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ei_make_givens(m_matT.coeffRef(i1,i), m_matT.coeffRef(i2,i), rot, &m_matT.coeffRef(i1,i));
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rot.makeGivens(m_matT.coeffRef(i1,i), m_matT.coeffRef(i2,i), &m_matT.coeffRef(i1,i));
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m_matT.coeffRef(i2,i) = Complex(0);
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}
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}
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@@ -223,13 +195,6 @@ void ComplexSchur<MatrixType>::compute(const MatrixType& matrix)
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m_isInitialized = true;
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}
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// norm1 of complex numbers
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template<typename T>
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T cnorm1(const std::complex<T> &Z)
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{
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return(ei_abs(Z.real()) + ei_abs(Z.imag()));
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}
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/**
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* Computes the principal value of the square root of the complex \a z.
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*/
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@@ -135,28 +135,6 @@ template<typename _MatrixType> class SelfAdjointEigenSolver
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#ifndef EIGEN_HIDE_HEAVY_CODE
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// from Golub's "Matrix Computations", algorithm 5.1.3
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template<typename Scalar>
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static void ei_givens_rotation(Scalar a, Scalar b, Scalar& c, Scalar& s)
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{
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if (b==0)
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{
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c = 1; s = 0;
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}
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else if (ei_abs(b)>ei_abs(a))
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{
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Scalar t = -a/b;
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s = Scalar(1)/ei_sqrt(1+t*t);
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c = s * t;
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}
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else
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{
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Scalar t = -b/a;
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c = Scalar(1)/ei_sqrt(1+t*t);
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s = c * t;
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}
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}
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/** \internal
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*
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* \qr_module
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@@ -353,34 +331,33 @@ static void ei_tridiagonal_qr_step(RealScalar* diag, RealScalar* subdiag, int st
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for (int k = start; k < end; ++k)
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{
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RealScalar c, s;
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ei_givens_rotation(x, z, c, s);
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PlanarRotation<RealScalar> rot;
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rot.makeGivens(x, z);
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// do T = G' T G
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RealScalar sdk = s * diag[k] + c * subdiag[k];
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RealScalar dkp1 = s * subdiag[k] + c * diag[k+1];
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RealScalar sdk = rot.s() * diag[k] + rot.c() * subdiag[k];
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RealScalar dkp1 = rot.s() * subdiag[k] + rot.c() * diag[k+1];
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diag[k] = c * (c * diag[k] - s * subdiag[k]) - s * (c * subdiag[k] - s * diag[k+1]);
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diag[k+1] = s * sdk + c * dkp1;
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subdiag[k] = c * sdk - s * dkp1;
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diag[k] = rot.c() * (rot.c() * diag[k] - rot.s() * subdiag[k]) - rot.s() * (rot.c() * subdiag[k] - rot.s() * diag[k+1]);
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diag[k+1] = rot.s() * sdk + rot.c() * dkp1;
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subdiag[k] = rot.c() * sdk - rot.s() * dkp1;
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if (k > start)
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subdiag[k - 1] = c * subdiag[k-1] - s * z;
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subdiag[k - 1] = rot.c() * subdiag[k-1] - rot.s() * z;
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x = subdiag[k];
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if (k < end - 1)
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{
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z = -s * subdiag[k+1];
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subdiag[k + 1] = c * subdiag[k+1];
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z = -rot.s() * subdiag[k+1];
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subdiag[k + 1] = rot.c() * subdiag[k+1];
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}
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// apply the givens rotation to the unit matrix Q = Q * G
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// G only modifies the two columns k and k+1
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if (matrixQ)
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{
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Map<Matrix<Scalar,Dynamic,Dynamic> > q(matrixQ,n,n);
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q.applyJacobiOnTheRight(k,k+1,JacobiRotation<RealScalar>(c,s));
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q.applyOnTheRight(k,k+1,rot);
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}
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}
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}
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