// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2010 Manuel Yguel // // 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_POLYNOMIAL_UTILS_H #define EIGEN_POLYNOMIAL_UTILS_H // IWYU pragma: private #include "./InternalHeaderCheck.h" namespace Eigen { /** \ingroup Polynomials_Module * \returns the evaluation of the polynomial at x using Horner algorithm. * * \param[in] poly : the vector of coefficients of the polynomial ordered * by degrees i.e. poly[i] is the coefficient of degree i of the polynomial * e.g. \f$ 1 + 3x^2 \f$ is stored as a vector \f$ [ 1, 0, 3 ] \f$. * \param[in] x : the value to evaluate the polynomial at. * * \note for stability: * \f$ |x| \le 1 \f$ */ template inline T poly_eval_horner(const Polynomials& poly, const T& x) { T val = poly[poly.size() - 1]; for (DenseIndex i = poly.size() - 2; i >= 0; --i) { val = val * x + poly[i]; } return val; } /** \ingroup Polynomials_Module * \returns the evaluation of the polynomial at x using stabilized Horner algorithm. * * \param[in] poly : the vector of coefficients of the polynomial ordered * by degrees i.e. poly[i] is the coefficient of degree i of the polynomial * e.g. \f$ 1 + 3x^2 \f$ is stored as a vector \f$ [ 1, 0, 3 ] \f$. * \param[in] x : the value to evaluate the polynomial at. */ template inline T poly_eval(const Polynomials& poly, const T& x) { typedef typename NumTraits::Real Real; if (numext::abs2(x) <= Real(1)) { return poly_eval_horner(poly, x); } else { T val = poly[0]; T inv_x = T(1) / x; for (DenseIndex i = 1; i < poly.size(); ++i) { val = val * inv_x + poly[i]; } return numext::pow(x, (T)(poly.size() - 1)) * val; } } /** \ingroup Polynomials_Module * \returns a maximum bound for the absolute value of any root of the polynomial. * * \param[in] poly : the vector of coefficients of the polynomial ordered * by degrees i.e. poly[i] is the coefficient of degree i of the polynomial * e.g. \f$ 1 + 3x^2 \f$ is stored as a vector \f$ [ 1, 0, 3 ] \f$. * * \pre * the leading coefficient of the input polynomial poly must be non zero */ template inline typename NumTraits::Real cauchy_max_bound(const Polynomial& poly) { using std::abs; typedef typename Polynomial::Scalar Scalar; typedef typename NumTraits::Real Real; eigen_assert(Scalar(0) != poly[poly.size() - 1]); const Scalar inv_leading_coeff = Scalar(1) / poly[poly.size() - 1]; Real cb(0); for (DenseIndex i = 0; i < poly.size() - 1; ++i) { cb += abs(poly[i] * inv_leading_coeff); } return cb + Real(1); } /** \ingroup Polynomials_Module * \returns a minimum bound for the absolute value of any non zero root of the polynomial. * \param[in] poly : the vector of coefficients of the polynomial ordered * by degrees i.e. poly[i] is the coefficient of degree i of the polynomial * e.g. \f$ 1 + 3x^2 \f$ is stored as a vector \f$ [ 1, 0, 3 ] \f$. */ template inline typename NumTraits::Real cauchy_min_bound(const Polynomial& poly) { using std::abs; typedef typename Polynomial::Scalar Scalar; typedef typename NumTraits::Real Real; DenseIndex i = 0; while (i < poly.size() - 1 && Scalar(0) == poly(i)) { ++i; } if (poly.size() - 1 == i) { return Real(1); } const Scalar inv_min_coeff = Scalar(1) / poly[i]; Real cb(1); for (DenseIndex j = i + 1; j < poly.size(); ++j) { cb += abs(poly[j] * inv_min_coeff); } return Real(1) / cb; } /** \ingroup Polynomials_Module * Given the roots of a polynomial compute the coefficients in the * monomial basis of the monic polynomial with same roots and minimal degree. * If RootVector is a vector of complexes, Polynomial should also be a vector * of complexes. * \param[in] rv : a vector containing the roots of a polynomial. * \param[out] poly : the vector of coefficients of the polynomial ordered * by degrees i.e. poly[i] is the coefficient of degree i of the polynomial * e.g. \f$ 3 + x^2 \f$ is stored as a vector \f$ [ 3, 0, 1 ] \f$. */ template void roots_to_monicPolynomial(const RootVector& rv, Polynomial& poly) { typedef typename Polynomial::Scalar Scalar; poly.setZero(rv.size() + 1); poly[0] = -rv[0]; poly[1] = Scalar(1); for (DenseIndex i = 1; i < rv.size(); ++i) { for (DenseIndex j = i + 1; j > 0; --j) { poly[j] = poly[j - 1] - rv[i] * poly[j]; } poly[0] = -rv[i] * poly[0]; } } } // end namespace Eigen #endif // EIGEN_POLYNOMIAL_UTILS_H