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// Copyright (c) 2006 Xiaogang Zhang
// Use, modification and distribution are subject to the
// Boost Software License, Version 1.0. (See accompanying file
// LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
#ifndef BOOST_MATH_BESSEL_JN_HPP
#define BOOST_MATH_BESSEL_JN_HPP
#ifdef _MSC_VER
#pragma once
#endif
#include <boost/math/special_functions/detail/bessel_j0.hpp>
#include <boost/math/special_functions/detail/bessel_j1.hpp>
#include <boost/math/special_functions/detail/bessel_jy.hpp>
#include <boost/math/special_functions/detail/bessel_jy_asym.hpp>
// Bessel function of the first kind of integer order
// J_n(z) is the minimal solution
// n < abs(z), forward recurrence stable and usable
// n >= abs(z), forward recurrence unstable, use Miller's algorithm
namespace boost { namespace math { namespace detail{
template <typename T, typename Policy>
T bessel_jn(int n, T x, const Policy& pol)
{
T value(0), factor, current, prev, next;
BOOST_MATH_STD_USING
//
// Reflection has to come first:
//
if (n < 0)
{
factor = (n & 0x1) ? -1 : 1; // J_{-n}(z) = (-1)^n J_n(z)
n = -n;
}
else
{
factor = 1;
}
//
// Special cases:
//
if (n == 0)
{
return factor * bessel_j0(x);
}
if (n == 1)
{
return factor * bessel_j1(x);
}
if (x == 0) // n >= 2
{
return static_cast<T>(0);
}
typedef typename bessel_asymptotic_tag<T, Policy>::type tag_type;
if(fabs(x) > asymptotic_bessel_j_limit<T>(n, tag_type()))
return factor * asymptotic_bessel_j_large_x_2<T>(n, x);
BOOST_ASSERT(n > 1);
if (n < abs(x)) // forward recurrence
{
prev = bessel_j0(x);
current = bessel_j1(x);
for (int k = 1; k < n; k++)
{
value = 2 * k * current / x - prev;
prev = current;
current = value;
}
}
else // backward recurrence
{
T fn; int s; // fn = J_(n+1) / J_n
// |x| <= n, fast convergence for continued fraction CF1
boost::math::detail::CF1_jy(static_cast<T>(n), x, &fn, &s, pol);
// tiny initial value to prevent overflow
T init = sqrt(tools::min_value<T>());
prev = fn * init;
current = init;
for (int k = n; k > 0; k--)
{
next = 2 * k * current / x - prev;
prev = current;
current = next;
}
T ratio = init / current; // scaling ratio
value = bessel_j0(x) * ratio; // normalization
}
value *= factor;
return value;
}
}}} // namespaces
#endif // BOOST_MATH_BESSEL_JN_HPP