1 #ifndef STAN_MATH_FWD_SCAL_FUN_BINOMIAL_COEFFICIENT_LOG_HPP
2 #define STAN_MATH_FWD_SCAL_FUN_BINOMIAL_COEFFICIENT_LOG_HPP
3 
4 #include <stan/math/fwd/core.hpp>
5 
6 #include <boost/math/special_functions/digamma.hpp>
7 #include <stan/math/prim/scal/fun/binomial_coefficient_log.hpp>
8 
9 namespace stan {
10 namespace math {
11 
12 template <typename T>
binomial_coefficient_log(const fvar<T> & x1,const fvar<T> & x2)13 inline fvar<T> binomial_coefficient_log(const fvar<T>& x1, const fvar<T>& x2) {
14   using boost::math::digamma;
15   using std::log;
16   const double cutoff = 1000;
17   if ((x1.val_ < cutoff) || (x1.val_ - x2.val_ < cutoff)) {
18     return fvar<T>(binomial_coefficient_log(x1.val_, x2.val_),
19                    x1.d_ * digamma(x1.val_ + 1) - x2.d_ * digamma(x2.val_ + 1)
20                        - (x1.d_ - x2.d_) * digamma(x1.val_ - x2.val_ + 1));
21   } else {
22     return fvar<T>(
23         binomial_coefficient_log(x1.val_, x2.val_),
24         x2.d_ * log(x1.val_ - x2.val_)
25             + x2.val_ * (x1.d_ - x2.d_) / (x1.val_ - x2.val_)
26             + x1.d_ * log(x1.val_ / (x1.val_ - x2.val_))
27             + (x1.val_ + 0.5) / (x1.val_ / (x1.val_ - x2.val_))
28                   * (x1.d_ * (x1.val_ - x2.val_) - (x1.d_ - x2.d_) * x1.val_)
29                   / ((x1.val_ - x2.val_) * (x1.val_ - x2.val_))
30             - x1.d_ / (12.0 * x1.val_ * x1.val_) - x2.d_
31             + (x1.d_ - x2.d_)
32                   / (12.0 * (x1.val_ - x2.val_) * (x1.val_ - x2.val_))
33             - digamma(x2.val_ + 1) * x2.d_);
34   }
35 }
36 
37 template <typename T>
binomial_coefficient_log(const fvar<T> & x1,double x2)38 inline fvar<T> binomial_coefficient_log(const fvar<T>& x1, double x2) {
39   using boost::math::digamma;
40   using std::log;
41   const double cutoff = 1000;
42   if ((x1.val_ < cutoff) || (x1.val_ - x2 < cutoff)) {
43     return fvar<T>(
44         binomial_coefficient_log(x1.val_, x2),
45         x1.d_ * digamma(x1.val_ + 1) - x1.d_ * digamma(x1.val_ - x2 + 1));
46   } else {
47     return fvar<T>(binomial_coefficient_log(x1.val_, x2),
48                    x2 * x1.d_ / (x1.val_ - x2)
49                        + x1.d_ * log(x1.val_ / (x1.val_ - x2))
50                        + (x1.val_ + 0.5) / (x1.val_ / (x1.val_ - x2))
51                              * (x1.d_ * (x1.val_ - x2) - x1.d_ * x1.val_)
52                              / ((x1.val_ - x2) * (x1.val_ - x2))
53                        - x1.d_ / (12.0 * x1.val_ * x1.val_)
54                        + x1.d_ / (12.0 * (x1.val_ - x2) * (x1.val_ - x2)));
55   }
56 }
57 
58 template <typename T>
binomial_coefficient_log(double x1,const fvar<T> & x2)59 inline fvar<T> binomial_coefficient_log(double x1, const fvar<T>& x2) {
60   using boost::math::digamma;
61   using std::log;
62   const double cutoff = 1000;
63   if ((x1 < cutoff) || (x1 - x2.val_ < cutoff)) {
64     return fvar<T>(
65         binomial_coefficient_log(x1, x2.val_),
66         -x2.d_ * digamma(x2.val_ + 1) - x2.d_ * digamma(x1 - x2.val_ + 1));
67   } else {
68     return fvar<T>(binomial_coefficient_log(x1, x2.val_),
69                    x2.d_ * log(x1 - x2.val_) + x2.val_ * -x2.d_ / (x1 - x2.val_)
70                        - x2.d_
71                        - x2.d_ / (12.0 * (x1 - x2.val_) * (x1 - x2.val_))
72                        + x2.d_ * (x1 + 0.5) / (x1 - x2.val_)
73                        - digamma(x2.val_ + 1) * x2.d_);
74   }
75 }
76 }  // namespace math
77 }  // namespace stan
78 #endif
79