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1//  (C) Copyright Nick Thompson 2020.2//  Use, modification and distribution are subject to the3//  Boost Software License, Version 1.0. (See accompanying file4//  LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)5 6#ifndef BOOST_MATH_TOOLS_SIMPLE_CONTINUED_FRACTION_HPP7#define BOOST_MATH_TOOLS_SIMPLE_CONTINUED_FRACTION_HPP8 9#include <array>10#include <vector>11#include <ostream>12#include <iomanip>13#include <cmath>14#include <cstdint>15#include <limits>16#include <stdexcept>17#include <sstream>18 19#include <boost/math/tools/is_standalone.hpp>20#ifndef BOOST_MATH_STANDALONE21#include <boost/config.hpp>22#ifdef BOOST_MATH_NO_CXX17_IF_CONSTEXPR23#error "The header <boost/math/norms.hpp> can only be used in C++17 and later."24#endif25#endif26 27#ifndef BOOST_MATH_STANDALONE28#include <boost/core/demangle.hpp>29#endif30 31namespace boost::math::tools {32 33template<typename Real, typename Z = int64_t>34class simple_continued_fraction {35public:36    simple_continued_fraction(Real x) : x_{x} {37        using std::floor;38        using std::abs;39        using std::sqrt;40        using std::isfinite;41        if (!isfinite(x)) {42            throw std::domain_error("Cannot convert non-finites into continued fractions.");  43        }44        b_.reserve(50);45        Real bj = floor(x);46        b_.push_back(static_cast<Z>(bj));47        if (bj == x) {48           b_.shrink_to_fit();49           return;50        }51        x = 1/(x-bj);52        Real f = bj;53        if (bj == 0) {54           f = 16*(std::numeric_limits<Real>::min)();55        }56        Real C = f;57        Real D = 0;58        int i = 0;59        // the "1 + i++" lets the error bound grow slowly with the number of convergents.60        // I have not worked out the error propagation of the Modified Lentz's method to see if it does indeed grow at this rate.61        // Numerical Recipes claims that no one has worked out the error analysis of the modified Lentz's method.62        while (abs(f - x_) >= (1 + i++)*std::numeric_limits<Real>::epsilon()*abs(x_))63        {64          bj = floor(x);65          b_.push_back(static_cast<Z>(bj));66          x = 1/(x-bj);67          D += bj;68          if (D == 0) {69             D = 16*(std::numeric_limits<Real>::min)();70          }71          C = bj + 1/C;72          if (C==0) {73             C = 16*(std::numeric_limits<Real>::min)();74          }75          D = 1/D;76          f *= (C*D);77       }78       // Deal with non-uniqueness of continued fractions: [a0; a1, ..., an, 1] = a0; a1, ..., an + 1].79       // The shorter representation is considered the canonical representation,80       // so if we compute a non-canonical representation, change it to canonical:81       if (b_.size() > 2 && b_.back() == 1) {82          b_[b_.size() - 2] += 1;83          b_.resize(b_.size() - 1);84       }85       b_.shrink_to_fit();86       87       for (size_t i = 1; i < b_.size(); ++i) {88         if (b_[i] <= 0) {89            std::ostringstream oss;90            oss << "Found a negative partial denominator: b[" << i << "] = " << b_[i] << "."91                #ifndef BOOST_MATH_STANDALONE92                << " This means the integer type '" << boost::core::demangle(typeid(Z).name())93                #else94                << " This means the integer type '" << typeid(Z).name()95                #endif96                << "' has overflowed and you need to use a wider type,"97                << " or there is a bug.";98            throw std::overflow_error(oss.str());99         }100       }101    }102    103    Real khinchin_geometric_mean() const {104        if (b_.size() == 1) { 105         return std::numeric_limits<Real>::quiet_NaN();106        }107         using std::log;108         using std::exp;109         // Precompute the most probable logarithms. See the Gauss-Kuzmin distribution for details.110         // Example: b_i = 1 has probability -log_2(3/4) ~ .415:111         // A random partial denominator has ~80% chance of being in this table:112         const std::array<Real, 7> logs{std::numeric_limits<Real>::quiet_NaN(), Real(0), log(static_cast<Real>(2)), log(static_cast<Real>(3)), log(static_cast<Real>(4)), log(static_cast<Real>(5)), log(static_cast<Real>(6))};113         Real log_prod = 0;114         for (size_t i = 1; i < b_.size(); ++i) {115            if (b_[i] < static_cast<Z>(logs.size())) {116               log_prod += logs[b_[i]];117            }118            else119            {120               log_prod += log(static_cast<Real>(b_[i]));121            }122         }123         log_prod /= (b_.size()-1);124         return exp(log_prod);125    }126    127    Real khinchin_harmonic_mean() const {128        if (b_.size() == 1) {129          return std::numeric_limits<Real>::quiet_NaN();130        }131        Real n = b_.size() - 1;132        Real denom = 0;133        for (size_t i = 1; i < b_.size(); ++i) {134            denom += 1/static_cast<Real>(b_[i]);135        }136        return n/denom;137    }138    139    const std::vector<Z>& partial_denominators() const {140      return b_;141    }142    143    template<typename T, typename Z2>144    friend std::ostream& operator<<(std::ostream& out, simple_continued_fraction<T, Z2>& scf);145 146private:147    const Real x_;148    std::vector<Z> b_;149};150 151 152template<typename Real, typename Z2>153std::ostream& operator<<(std::ostream& out, simple_continued_fraction<Real, Z2>& scf) {154   constexpr const int p = std::numeric_limits<Real>::max_digits10;155   if constexpr (p == 2147483647) {156      out << std::setprecision(scf.x_.backend().precision());157   } else {158      out << std::setprecision(p);159   }160   161   out << "[" << scf.b_.front();162   if (scf.b_.size() > 1)163   {164      out << "; ";165      for (size_t i = 1; i < scf.b_.size() -1; ++i)166      {167         out << scf.b_[i] << ", ";168      }169      out << scf.b_.back();170   }171   out << "]";172   return out;173}174 175 176}177#endif178