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1// (C) Copyright Nick Thompson 2017.
2// Use, modification and distribution are subject to the
3// Boost Software License, Version 1.0. (See accompanying file
4// LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
5
6#ifndef BOOST_MATH_SPECIAL_CHEBYSHEV_HPP
7#define BOOST_MATH_SPECIAL_CHEBYSHEV_HPP
8#include <cmath>
1e59de90 9#include <boost/math/special_functions/math_fwd.hpp>
20effc67 10#include <boost/math/policies/error_handling.hpp>
b32b8144 11#include <boost/math/constants/constants.hpp>
1e59de90 12#include <boost/math/tools/promotion.hpp>
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13
14#if (__cplusplus > 201103) || (defined(_CPPLIB_VER) && (_CPPLIB_VER >= 610))
15# define BOOST_MATH_CHEB_USE_STD_ACOSH
16#endif
17
18#ifndef BOOST_MATH_CHEB_USE_STD_ACOSH
19# include <boost/math/special_functions/acosh.hpp>
20#endif
21
22namespace boost { namespace math {
23
24template<class T1, class T2, class T3>
25inline typename tools::promote_args<T1, T2, T3>::type chebyshev_next(T1 const & x, T2 const & Tn, T3 const & Tn_1)
26{
27 return 2*x*Tn - Tn_1;
28}
29
30namespace detail {
31
20effc67
TL
32template<class Real, bool second, class Policy>
33inline Real chebyshev_imp(unsigned n, Real const & x, const Policy&)
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34{
35#ifdef BOOST_MATH_CHEB_USE_STD_ACOSH
36 using std::acosh;
20effc67 37#define BOOST_MATH_ACOSH_POLICY
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38#else
39 using boost::math::acosh;
20effc67 40#define BOOST_MATH_ACOSH_POLICY , Policy()
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41#endif
42 using std::cosh;
43 using std::pow;
44 using std::sqrt;
45 Real T0 = 1;
46 Real T1;
47 if (second)
48 {
49 if (x > 1 || x < -1)
50 {
51 Real t = sqrt(x*x -1);
52 return static_cast<Real>((pow(x+t, (int)(n+1)) - pow(x-t, (int)(n+1)))/(2*t));
53 }
54 T1 = 2*x;
55 }
56 else
57 {
58 if (x > 1)
59 {
20effc67 60 return cosh(n*acosh(x BOOST_MATH_ACOSH_POLICY));
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FG
61 }
62 if (x < -1)
63 {
64 if (n & 1)
65 {
20effc67 66 return -cosh(n*acosh(-x BOOST_MATH_ACOSH_POLICY));
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67 }
68 else
69 {
20effc67 70 return cosh(n*acosh(-x BOOST_MATH_ACOSH_POLICY));
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71 }
72 }
73 T1 = x;
74 }
75
76 if (n == 0)
77 {
78 return T0;
79 }
80
81 unsigned l = 1;
82 while(l < n)
83 {
84 std::swap(T0, T1);
85 T1 = boost::math::chebyshev_next(x, T0, T1);
86 ++l;
87 }
88 return T1;
89}
90} // namespace detail
91
92template <class Real, class Policy>
93inline typename tools::promote_args<Real>::type
94chebyshev_t(unsigned n, Real const & x, const Policy&)
95{
96 typedef typename tools::promote_args<Real>::type result_type;
97 typedef typename policies::evaluation<result_type, Policy>::type value_type;
20effc67
TL
98 typedef typename policies::normalise<
99 Policy,
100 policies::promote_float<false>,
101 policies::promote_double<false>,
102 policies::discrete_quantile<>,
103 policies::assert_undefined<> >::type forwarding_policy;
104
105 return policies::checked_narrowing_cast<result_type, Policy>(detail::chebyshev_imp<value_type, false>(n, static_cast<value_type>(x), forwarding_policy()), "boost::math::chebyshev_t<%1%>(unsigned, %1%)");
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106}
107
108template<class Real>
109inline typename tools::promote_args<Real>::type chebyshev_t(unsigned n, Real const & x)
110{
111 return chebyshev_t(n, x, policies::policy<>());
112}
113
114template <class Real, class Policy>
115inline typename tools::promote_args<Real>::type
116chebyshev_u(unsigned n, Real const & x, const Policy&)
117{
118 typedef typename tools::promote_args<Real>::type result_type;
119 typedef typename policies::evaluation<result_type, Policy>::type value_type;
20effc67
TL
120 typedef typename policies::normalise<
121 Policy,
122 policies::promote_float<false>,
123 policies::promote_double<false>,
124 policies::discrete_quantile<>,
125 policies::assert_undefined<> >::type forwarding_policy;
126
127 return policies::checked_narrowing_cast<result_type, Policy>(detail::chebyshev_imp<value_type, true>(n, static_cast<value_type>(x), forwarding_policy()), "boost::math::chebyshev_u<%1%>(unsigned, %1%)");
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128}
129
130template<class Real>
131inline typename tools::promote_args<Real>::type chebyshev_u(unsigned n, Real const & x)
132{
133 return chebyshev_u(n, x, policies::policy<>());
134}
135
136template <class Real, class Policy>
137inline typename tools::promote_args<Real>::type
138chebyshev_t_prime(unsigned n, Real const & x, const Policy&)
139{
140 typedef typename tools::promote_args<Real>::type result_type;
141 typedef typename policies::evaluation<result_type, Policy>::type value_type;
20effc67
TL
142 typedef typename policies::normalise<
143 Policy,
144 policies::promote_float<false>,
145 policies::promote_double<false>,
146 policies::discrete_quantile<>,
147 policies::assert_undefined<> >::type forwarding_policy;
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FG
148 if (n == 0)
149 {
150 return result_type(0);
151 }
20effc67 152 return policies::checked_narrowing_cast<result_type, Policy>(n * detail::chebyshev_imp<value_type, true>(n - 1, static_cast<value_type>(x), forwarding_policy()), "boost::math::chebyshev_t_prime<%1%>(unsigned, %1%)");
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153}
154
155template<class Real>
156inline typename tools::promote_args<Real>::type chebyshev_t_prime(unsigned n, Real const & x)
157{
158 return chebyshev_t_prime(n, x, policies::policy<>());
159}
160
161/*
162 * This is Algorithm 3.1 of
163 * Gil, Amparo, Javier Segura, and Nico M. Temme.
164 * Numerical methods for special functions.
165 * Society for Industrial and Applied Mathematics, 2007.
166 * https://www.siam.org/books/ot99/OT99SampleChapter.pdf
167 * However, our definition of c0 differs by a factor of 1/2, as stated in the docs. . .
168 */
169template<class Real, class T2>
170inline Real chebyshev_clenshaw_recurrence(const Real* const c, size_t length, const T2& x)
171{
172 using boost::math::constants::half;
173 if (length < 2)
174 {
175 if (length == 0)
176 {
177 return 0;
178 }
179 return c[0]/2;
180 }
181 Real b2 = 0;
182 Real b1 = c[length -1];
183 for(size_t j = length - 2; j >= 1; --j)
184 {
185 Real tmp = 2*x*b1 - b2 + c[j];
186 b2 = b1;
187 b1 = tmp;
188 }
189 return x*b1 - b2 + half<Real>()*c[0];
190}
191
192
20effc67
TL
193
194namespace detail {
195template<class Real>
196inline Real unchecked_chebyshev_clenshaw_recurrence(const Real* const c, size_t length, const Real & a, const Real & b, const Real& x)
197{
198 Real t;
199 Real u;
200 // This cutoff is not super well defined, but it's a good estimate.
201 // See "An Error Analysis of the Modified Clenshaw Method for Evaluating Chebyshev and Fourier Series"
1e59de90 202 // J. OLIVER, IMA Journal of Applied Mathematics, Volume 20, Issue 3, November 1977, Pages 379-391
20effc67
TL
203 // https://doi.org/10.1093/imamat/20.3.379
204 const Real cutoff = 0.6;
205 if (x - a < b - x)
206 {
207 u = 2*(x-a)/(b-a);
208 t = u - 1;
209 if (t > -cutoff)
210 {
211 Real b2 = 0;
212 Real b1 = c[length -1];
213 for(size_t j = length - 2; j >= 1; --j)
214 {
215 Real tmp = 2*t*b1 - b2 + c[j];
216 b2 = b1;
217 b1 = tmp;
218 }
219 return t*b1 - b2 + c[0]/2;
220 }
221 else
222 {
223 Real b = c[length -1];
224 Real d = b;
225 Real b2 = 0;
226 for (size_t r = length - 2; r >= 1; --r)
227 {
228 d = 2*u*b - d + c[r];
229 b2 = b;
230 b = d - b;
231 }
232 return t*b - b2 + c[0]/2;
233 }
234 }
235 else
236 {
237 u = -2*(b-x)/(b-a);
238 t = u + 1;
239 if (t < cutoff)
240 {
241 Real b2 = 0;
242 Real b1 = c[length -1];
243 for(size_t j = length - 2; j >= 1; --j)
244 {
245 Real tmp = 2*t*b1 - b2 + c[j];
246 b2 = b1;
247 b1 = tmp;
248 }
249 return t*b1 - b2 + c[0]/2;
250 }
251 else
252 {
253 Real b = c[length -1];
254 Real d = b;
255 Real b2 = 0;
256 for (size_t r = length - 2; r >= 1; --r)
257 {
258 d = 2*u*b + d + c[r];
259 b2 = b;
260 b = d + b;
261 }
262 return t*b - b2 + c[0]/2;
263 }
264 }
265}
266
267} // namespace detail
268
269template<class Real>
270inline Real chebyshev_clenshaw_recurrence(const Real* const c, size_t length, const Real & a, const Real & b, const Real& x)
271{
272 if (x < a || x > b)
273 {
274 throw std::domain_error("x in [a, b] is required.");
275 }
276 if (length < 2)
277 {
278 if (length == 0)
279 {
280 return 0;
281 }
282 return c[0]/2;
283 }
284 return detail::unchecked_chebyshev_clenshaw_recurrence(c, length, a, b, x);
285}
286
287
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FG
288}}
289#endif