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author | Indrajith K L | 2022-12-03 17:00:20 +0530 |
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committer | Indrajith K L | 2022-12-03 17:00:20 +0530 |
commit | f5c4671bfbad96bf346bd7e9a21fc4317b4959df (patch) | |
tree | 2764fc62da58f2ba8da7ed341643fc359873142f /v_windows/v/old/vlib/math/factorial/factorial.v | |
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Diffstat (limited to 'v_windows/v/old/vlib/math/factorial/factorial.v')
-rw-r--r-- | v_windows/v/old/vlib/math/factorial/factorial.v | 80 |
1 files changed, 80 insertions, 0 deletions
diff --git a/v_windows/v/old/vlib/math/factorial/factorial.v b/v_windows/v/old/vlib/math/factorial/factorial.v new file mode 100644 index 0000000..9668d5d --- /dev/null +++ b/v_windows/v/old/vlib/math/factorial/factorial.v @@ -0,0 +1,80 @@ +// Copyright (c) 2019-2021 Alexander Medvednikov. All rights reserved. +// Use of this source code is governed by an MIT license +// that can be found in the LICENSE file. + +// Module created by Ulises Jeremias Cornejo Fandos based on +// the definitions provided in https://scientificc.github.io/cmathl/ + +module factorial + +import math + +// factorial calculates the factorial of the provided value. +pub fn factorial(n f64) f64 { + // For a large postive argument (n >= FACTORIALS.len) return max_f64 + + if n >= factorials_table.len { + return math.max_f64 + } + + // Otherwise return n!. + if n == f64(i64(n)) && n >= 0.0 { + return factorials_table[i64(n)] + } + + return math.gamma(n + 1.0) +} + +// log_factorial calculates the log-factorial of the provided value. +pub fn log_factorial(n f64) f64 { + // For a large postive argument (n < 0) return max_f64 + + if n < 0 { + return -math.max_f64 + } + + // If n < N then return ln(n!). + + if n != f64(i64(n)) { + return math.log_gamma(n + 1) + } else if n < log_factorials_table.len { + return log_factorials_table[i64(n)] + } + + // Otherwise return asymptotic expansion of ln(n!). + + return log_factorial_asymptotic_expansion(int(n)) +} + +fn log_factorial_asymptotic_expansion(n int) f64 { + m := 6 + mut term := []f64{} + xx := f64((n + 1) * (n + 1)) + mut xj := f64(n + 1) + + log_factorial := log_sqrt_2pi - xj + (xj - 0.5) * math.log(xj) + + mut i := 0 + + for i = 0; i < m; i++ { + term << b_numbers[i] / xj + xj *= xx + } + + mut sum := term[m - 1] + + for i = m - 2; i >= 0; i-- { + if math.abs(sum) <= math.abs(term[i]) { + break + } + + sum = term[i] + } + + for i >= 0 { + sum += term[i] + i-- + } + + return log_factorial + sum +} |