// (C) Copyright John Maddock 2006. // 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_SPECIAL_FUNCTIONS_IGAMMA_INVERSE_HPP #define BOOST_MATH_SPECIAL_FUNCTIONS_IGAMMA_INVERSE_HPP #ifdef _MSC_VER #pragma once #endif #include #include #include #include #include namespace boost{ namespace math{ namespace detail{ template T find_inverse_s(T p, T q) { // // Computation of the Incomplete Gamma Function Ratios and their Inverse // ARMIDO R. DIDONATO and ALFRED H. MORRIS, JR. // ACM Transactions on Mathematical Software, Vol. 12, No. 4, // December 1986, Pages 377-393. // // See equation 32. // BOOST_MATH_STD_USING T t; if(p < 0.5) { t = sqrt(-2 * log(p)); } else { t = sqrt(-2 * log(q)); } static const double a[4] = { 3.31125922108741, 11.6616720288968, 4.28342155967104, 0.213623493715853 }; static const double b[5] = { 1, 6.61053765625462, 6.40691597760039, 1.27364489782223, 0.3611708101884203e-1 }; T s = t - tools::evaluate_polynomial(a, t) / tools::evaluate_polynomial(b, t); if(p < 0.5) s = -s; return s; } template T didonato_SN(T a, T x, unsigned N, T tolerance = 0) { // // Computation of the Incomplete Gamma Function Ratios and their Inverse // ARMIDO R. DIDONATO and ALFRED H. MORRIS, JR. // ACM Transactions on Mathematical Software, Vol. 12, No. 4, // December 1986, Pages 377-393. // // See equation 34. // T sum = 1; if(N >= 1) { T partial = x / (a + 1); sum += partial; for(unsigned i = 2; i <= N; ++i) { partial *= x / (a + i); sum += partial; if(partial < tolerance) break; } } return sum; } template inline T didonato_FN(T p, T a, T x, unsigned N, T tolerance, const Policy& pol) { // // Computation of the Incomplete Gamma Function Ratios and their Inverse // ARMIDO R. DIDONATO and ALFRED H. MORRIS, JR. // ACM Transactions on Mathematical Software, Vol. 12, No. 4, // December 1986, Pages 377-393. // // See equation 34. // BOOST_MATH_STD_USING T u = log(p) + boost::math::lgamma(a + 1, pol); return exp((u + x - log(didonato_SN(a, x, N, tolerance))) / a); } template T find_inverse_gamma(T a, T p, T q, const Policy& pol, bool* p_has_10_digits) { // // In order to understand what's going on here, you will // need to refer to: // // Computation of the Incomplete Gamma Function Ratios and their Inverse // ARMIDO R. DIDONATO and ALFRED H. MORRIS, JR. // ACM Transactions on Mathematical Software, Vol. 12, No. 4, // December 1986, Pages 377-393. // BOOST_MATH_STD_USING T result; *p_has_10_digits = false; if(a == 1) { result = -log(q); BOOST_MATH_INSTRUMENT_VARIABLE(result); } else if(a < 1) { T g = boost::math::tgamma(a, pol); T b = q * g; BOOST_MATH_INSTRUMENT_VARIABLE(g); BOOST_MATH_INSTRUMENT_VARIABLE(b); if((b > 0.6) || ((b >= 0.45) && (a >= 0.3))) { // DiDonato & Morris Eq 21: // // There is a slight variation from DiDonato and Morris here: // the first form given here is unstable when p is close to 1, // making it impossible to compute the inverse of Q(a,x) for small // q. Fortunately the second form works perfectly well in this case. // T u; if((b * q > 1e-8) && (q > 1e-5)) { u = pow(p * g * a, 1 / a); BOOST_MATH_INSTRUMENT_VARIABLE(u); } else { u = exp((-q / a) - constants::euler()); BOOST_MATH_INSTRUMENT_VARIABLE(u); } result = u / (1 - (u / (a + 1))); BOOST_MATH_INSTRUMENT_VARIABLE(result); } else if((a < 0.3) && (b >= 0.35)) { // DiDonato & Morris Eq 22: T t = exp(-constants::euler() - b); T u = t * exp(t); result = t * exp(u); BOOST_MATH_INSTRUMENT_VARIABLE(result); } else if((b > 0.15) || (a >= 0.3)) { // DiDonato & Morris Eq 23: T y = -log(b); T u = y - (1 - a) * log(y); result = y - (1 - a) * log(u) - log(1 + (1 - a) / (1 + u)); BOOST_MATH_INSTRUMENT_VARIABLE(result); } else if (b > 0.1) { // DiDonato & Morris Eq 24: T y = -log(b); T u = y - (1 - a) * log(y); result = y - (1 - a) * log(u) - log((u * u + 2 * (3 - a) * u + (2 - a) * (3 - a)) / (u * u + (5 - a) * u + 2)); BOOST_MATH_INSTRUMENT_VARIABLE(result); } else { // DiDonato & Morris Eq 25: T y = -log(b); T c1 = (a - 1) * log(y); T c1_2 = c1 * c1; T c1_3 = c1_2 * c1; T c1_4 = c1_2 * c1_2; T a_2 = a * a; T a_3 = a_2 * a; T c2 = (a - 1) * (1 + c1); T c3 = (a - 1) * (-(c1_2 / 2) + (a - 2) * c1 + (3 * a - 5) / 2); T c4 = (a - 1) * ((c1_3 / 3) - (3 * a - 5) * c1_2 / 2 + (a_2 - 6 * a + 7) * c1 + (11 * a_2 - 46 * a + 47) / 6); T c5 = (a - 1) * (-(c1_4 / 4) + (11 * a - 17) * c1_3 / 6 + (-3 * a_2 + 13 * a -13) * c1_2 + (2 * a_3 - 25 * a_2 + 72 * a - 61) * c1 / 2 + (25 * a_3 - 195 * a_2 + 477 * a - 379) / 12); T y_2 = y * y; T y_3 = y_2 * y; T y_4 = y_2 * y_2; result = y + c1 + (c2 / y) + (c3 / y_2) + (c4 / y_3) + (c5 / y_4); BOOST_MATH_INSTRUMENT_VARIABLE(result); if(b < 1e-28f) *p_has_10_digits = true; } } else { // DiDonato and Morris Eq 31: T s = find_inverse_s(p, q); BOOST_MATH_INSTRUMENT_VARIABLE(s); T s_2 = s * s; T s_3 = s_2 * s; T s_4 = s_2 * s_2; T s_5 = s_4 * s; T ra = sqrt(a); BOOST_MATH_INSTRUMENT_VARIABLE(ra); T w = a + s * ra + (s * s -1) / 3; w += (s_3 - 7 * s) / (36 * ra); w -= (3 * s_4 + 7 * s_2 - 16) / (810 * a); w += (9 * s_5 + 256 * s_3 - 433 * s) / (38880 * a * ra); BOOST_MATH_INSTRUMENT_VARIABLE(w); if((a >= 500) && (fabs(1 - w / a) < 1e-6)) { result = w; *p_has_10_digits = true; BOOST_MATH_INSTRUMENT_VARIABLE(result); } else if (p > 0.5) { if(w < 3 * a) { result = w; BOOST_MATH_INSTRUMENT_VARIABLE(result); } else { T D = (std::max)(T(2), T(a * (a - 1))); T lg = boost::math::lgamma(a, pol); T lb = log(q) + lg; if(lb < -D * 2.3) { // DiDonato and Morris Eq 25: T y = -lb; T c1 = (a - 1) * log(y); T c1_2 = c1 * c1; T c1_3 = c1_2 * c1; T c1_4 = c1_2 * c1_2; T a_2 = a * a; T a_3 = a_2 * a; T c2 = (a - 1) * (1 + c1); T c3 = (a - 1) * (-(c1_2 / 2) + (a - 2) * c1 + (3 * a - 5) / 2); T c4 = (a - 1) * ((c1_3 / 3) - (3 * a - 5) * c1_2 / 2 + (a_2 - 6 * a + 7) * c1 + (11 * a_2 - 46 * a + 47) / 6); T c5 = (a - 1) * (-(c1_4 / 4) + (11 * a - 17) * c1_3 / 6 + (-3 * a_2 + 13 * a -13) * c1_2 + (2 * a_3 - 25 * a_2 + 72 * a - 61) * c1 / 2 + (25 * a_3 - 195 * a_2 + 477 * a - 379) / 12); T y_2 = y * y; T y_3 = y_2 * y; T y_4 = y_2 * y_2; result = y + c1 + (c2 / y) + (c3 / y_2) + (c4 / y_3) + (c5 / y_4); BOOST_MATH_INSTRUMENT_VARIABLE(result); } else { // DiDonato and Morris Eq 33: T u = -lb + (a - 1) * log(w) - log(1 + (1 - a) / (1 + w)); result = -lb + (a - 1) * log(u) - log(1 + (1 - a) / (1 + u)); BOOST_MATH_INSTRUMENT_VARIABLE(result); } } } else { T z = w; T ap1 = a + 1; T ap2 = a + 2; if(w < 0.15f * ap1) { // DiDonato and Morris Eq 35: T v = log(p) + boost::math::lgamma(ap1, pol); z = exp((v + w) / a); s = boost::math::log1p(z / ap1 * (1 + z / ap2)); z = exp((v + z - s) / a); s = boost::math::log1p(z / ap1 * (1 + z / ap2)); z = exp((v + z - s) / a); s = boost::math::log1p(z / ap1 * (1 + z / ap2 * (1 + z / (a + 3)))); z = exp((v + z - s) / a); BOOST_MATH_INSTRUMENT_VARIABLE(z); } if((z <= 0.01 * ap1) || (z > 0.7 * ap1)) { result = z; if(z <= 0.002 * ap1) *p_has_10_digits = true; BOOST_MATH_INSTRUMENT_VARIABLE(result); } else { // DiDonato and Morris Eq 36: T ls = log(didonato_SN(a, z, 100, T(1e-4))); T v = log(p) + boost::math::lgamma(ap1, pol); z = exp((v + z - ls) / a); result = z * (1 - (a * log(z) - z - v + ls) / (a - z)); BOOST_MATH_INSTRUMENT_VARIABLE(result); } } } return result; } template struct gamma_p_inverse_func { gamma_p_inverse_func(T a_, T p_, bool inv) : a(a_), p(p_), invert(inv) { // // If p is too near 1 then P(x) - p suffers from cancellation // errors causing our root-finding algorithms to "thrash", better // to invert in this case and calculate Q(x) - (1-p) instead. // // Of course if p is *very* close to 1, then the answer we get will // be inaccurate anyway (because there's not enough information in p) // but at least we will converge on the (inaccurate) answer quickly. // if(p > 0.9) { p = 1 - p; invert = !invert; } } boost::math::tuple operator()(const T& x)const { BOOST_FPU_EXCEPTION_GUARD // // Calculate P(x) - p and the first two derivates, or if the invert // flag is set, then Q(x) - q and it's derivatives. // typedef typename policies::evaluation::type value_type; typedef typename lanczos::lanczos::type evaluation_type; typedef typename policies::normalise< Policy, policies::promote_float, policies::promote_double, policies::discrete_quantile<>, policies::assert_undefined<> >::type forwarding_policy; BOOST_MATH_STD_USING // For ADL of std functions. T f, f1; value_type ft; f = static_cast(boost::math::detail::gamma_incomplete_imp( static_cast(a), static_cast(x), true, invert, forwarding_policy(), &ft)); f1 = static_cast(ft); T f2; T div = (a - x - 1) / x; f2 = f1; if((fabs(div) > 1) && (tools::max_value() / fabs(div) < f2)) { // overflow: f2 = -tools::max_value() / 2; } else { f2 *= div; } if(invert) { f1 = -f1; f2 = -f2; } return boost::math::make_tuple(f - p, f1, f2); } private: T a, p; bool invert; }; template T gamma_p_inv_imp(T a, T p, const Policy& pol) { BOOST_MATH_STD_USING // ADL of std functions. static const char* function = "boost::math::gamma_p_inv<%1%>(%1%, %1%)"; BOOST_MATH_INSTRUMENT_VARIABLE(a); BOOST_MATH_INSTRUMENT_VARIABLE(p); if(a <= 0) policies::raise_domain_error(function, "Argument a in the incomplete gamma function inverse must be >= 0 (got a=%1%).", a, pol); if((p < 0) || (p > 1)) policies::raise_domain_error(function, "Probabilty must be in the range [0,1] in the incomplete gamma function inverse (got p=%1%).", p, pol); if(p == 1) return tools::max_value(); if(p == 0) return 0; bool has_10_digits; T guess = detail::find_inverse_gamma(a, p, 1 - p, pol, &has_10_digits); if((policies::digits() <= 36) && has_10_digits) return guess; T lower = tools::min_value(); if(guess <= lower) guess = tools::min_value(); BOOST_MATH_INSTRUMENT_VARIABLE(guess); // // Work out how many digits to converge to, normally this is // 2/3 of the digits in T, but if the first derivative is very // large convergence is slow, so we'll bump it up to full // precision to prevent premature termination of the root-finding routine. // unsigned digits = policies::digits(); if(digits < 30) { digits *= 2; digits /= 3; } else { digits /= 2; digits -= 1; } if((a < 0.125) && (fabs(gamma_p_derivative(a, guess, pol)) > 1 / sqrt(tools::epsilon()))) digits = policies::digits() - 2; // // Go ahead and iterate: // boost::uintmax_t max_iter = policies::get_max_root_iterations(); guess = tools::halley_iterate( detail::gamma_p_inverse_func(a, p, false), guess, lower, tools::max_value(), digits, max_iter); policies::check_root_iterations(function, max_iter, pol); BOOST_MATH_INSTRUMENT_VARIABLE(guess); if(guess == lower) guess = policies::raise_underflow_error(function, "Expected result known to be non-zero, but is smaller than the smallest available number.", pol); return guess; } template T gamma_q_inv_imp(T a, T q, const Policy& pol) { BOOST_MATH_STD_USING // ADL of std functions. static const char* function = "boost::math::gamma_q_inv<%1%>(%1%, %1%)"; if(a <= 0) policies::raise_domain_error(function, "Argument a in the incomplete gamma function inverse must be >= 0 (got a=%1%).", a, pol); if((q < 0) || (q > 1)) policies::raise_domain_error(function, "Probabilty must be in the range [0,1] in the incomplete gamma function inverse (got q=%1%).", q, pol); if(q == 0) return tools::max_value(); if(q == 1) return 0; bool has_10_digits; T guess = detail::find_inverse_gamma(a, 1 - q, q, pol, &has_10_digits); if((policies::digits() <= 36) && has_10_digits) return guess; T lower = tools::min_value(); if(guess <= lower) guess = tools::min_value(); // // Work out how many digits to converge to, normally this is // 2/3 of the digits in T, but if the first derivative is very // large convergence is slow, so we'll bump it up to full // precision to prevent premature termination of the root-finding routine. // unsigned digits = policies::digits(); if(digits < 30) { digits *= 2; digits /= 3; } else { digits /= 2; digits -= 1; } if((a < 0.125) && (fabs(gamma_p_derivative(a, guess, pol)) > 1 / sqrt(tools::epsilon()))) digits = policies::digits(); // // Go ahead and iterate: // boost::uintmax_t max_iter = policies::get_max_root_iterations(); guess = tools::halley_iterate( detail::gamma_p_inverse_func(a, q, true), guess, lower, tools::max_value(), digits, max_iter); policies::check_root_iterations(function, max_iter, pol); if(guess == lower) guess = policies::raise_underflow_error(function, "Expected result known to be non-zero, but is smaller than the smallest available number.", pol); return guess; } } // namespace detail template inline typename tools::promote_args::type gamma_p_inv(T1 a, T2 p, const Policy& pol) { typedef typename tools::promote_args::type result_type; return detail::gamma_p_inv_imp( static_cast(a), static_cast(p), pol); } template inline typename tools::promote_args::type gamma_q_inv(T1 a, T2 p, const Policy& pol) { typedef typename tools::promote_args::type result_type; return detail::gamma_q_inv_imp( static_cast(a), static_cast(p), pol); } template inline typename tools::promote_args::type gamma_p_inv(T1 a, T2 p) { return gamma_p_inv(a, p, policies::policy<>()); } template inline typename tools::promote_args::type gamma_q_inv(T1 a, T2 p) { return gamma_q_inv(a, p, policies::policy<>()); } } // namespace math } // namespace boost #endif // BOOST_MATH_SPECIAL_FUNCTIONS_IGAMMA_INVERSE_HPP