| 1 | module math |
| 2 | |
| 3 | // factorial calculates the factorial of the provided value. |
| 4 | pub fn factorial(n f64) f64 { |
| 5 | // For a large positive argument (n >= factorials_table.len) return max_f64 |
| 6 | if n >= factorials_table.len { |
| 7 | return max_f64 |
| 8 | } |
| 9 | // Otherwise return n!. |
| 10 | if n == f64(i64(n)) && n >= 0.0 { |
| 11 | return factorials_table[int(n)] |
| 12 | } |
| 13 | return gamma(n + 1.0) |
| 14 | } |
| 15 | |
| 16 | // log_factorial calculates the log-factorial of the provided value. |
| 17 | pub fn log_factorial(n f64) f64 { |
| 18 | // For a large positive argument (n < 0) return max_f64 |
| 19 | if n < 0 { |
| 20 | return -max_f64 |
| 21 | } |
| 22 | // If n < N then return ln(n!). |
| 23 | if n != f64(i64(n)) { |
| 24 | return log_gamma(n + 1) |
| 25 | } else if n < log_factorials_table.len { |
| 26 | return log_factorials_table[int(n)] |
| 27 | } |
| 28 | // Otherwise return asymptotic expansion of ln(n!). |
| 29 | return log_factorial_asymptotic_expansion(int(n)) |
| 30 | } |
| 31 | |
| 32 | fn log_factorial_asymptotic_expansion(n int) f64 { |
| 33 | m := 6 |
| 34 | mut term := []f64{} |
| 35 | xx := f64((n + 1) * (n + 1)) |
| 36 | mut xj := f64(n + 1) |
| 37 | log_fact := log_sqrt_2pi - xj + (xj - 0.5) * log(xj) |
| 38 | mut i := 0 |
| 39 | for i = 0; i < m; i++ { |
| 40 | term << bernoulli[i] / xj |
| 41 | xj *= xx |
| 42 | } |
| 43 | mut sum := term[m - 1] |
| 44 | for i = m - 2; i >= 0; i-- { |
| 45 | if abs(sum) <= abs(term[i]) { |
| 46 | break |
| 47 | } |
| 48 | sum = term[i] |
| 49 | } |
| 50 | for i >= 0 { |
| 51 | sum += term[i] |
| 52 | i-- |
| 53 | } |
| 54 | return log_fact + sum |
| 55 | } |
| 56 | |
| 57 | // factoriali returns 1 for n <= 0 and -1 if the result is too large for a 64 bit integer |
| 58 | pub fn factoriali(n int) i64 { |
| 59 | if n <= 0 { |
| 60 | return i64(1) |
| 61 | } |
| 62 | |
| 63 | if n < 21 { |
| 64 | return i64(factorials_table[n]) |
| 65 | } |
| 66 | |
| 67 | return i64(-1) |
| 68 | } |
| 69 | |