time-to-botec

Benchmark sampling in different programming languages
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upper_gamma_fraction.js (1910B)


      1 /**
      2 * @license Apache-2.0
      3 *
      4 * Copyright (c) 2018 The Stdlib Authors.
      5 *
      6 * Licensed under the Apache License, Version 2.0 (the "License");
      7 * you may not use this file except in compliance with the License.
      8 * You may obtain a copy of the License at
      9 *
     10 *    http://www.apache.org/licenses/LICENSE-2.0
     11 *
     12 * Unless required by applicable law or agreed to in writing, software
     13 * distributed under the License is distributed on an "AS IS" BASIS,
     14 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     15 * See the License for the specific language governing permissions and
     16 * limitations under the License.
     17 *
     18 *
     19 * ## Notice
     20 *
     21 * The original C++ code and copyright notice are from the [Boost library]{@link http://www.boost.org/doc/libs/1_61_0/boost/math/special_functions/gamma.hpp}. The implementation has been modified for JavaScript.
     22 *
     23 * ```text
     24 * Copyright John Maddock 2006-7, 2013-14.
     25 * Copyright Paul A. Bristow 2007, 2013-14.
     26 * Copyright Nikhar Agrawal 2013-14.
     27 * Copyright Christopher Kormanyos 2013-14.
     28 *
     29 * Use, modification and distribution are subject to the
     30 * Boost Software License, Version 1.0. (See accompanying file
     31 * LICENSE or copy at http://www.boost.org/LICENSE_1_0.txt)
     32 * ```
     33 */
     34 
     35 'use strict';
     36 
     37 // MODULES //
     38 
     39 var continuedFraction = require( './../../../../base/tools/continued-fraction' );
     40 var upperIncompleteGammaFract = require( './upper_incomplete_gamma_fract.js' );
     41 
     42 
     43 // VARIABLES //
     44 
     45 var OPTS = {
     46 	'maxIter': 1000
     47 };
     48 
     49 
     50 // MAIN //
     51 
     52 /**
     53 * Evaluate the lower incomplete gamma integral via a series expansion and divide by gamma(z) to normalize.
     54 *
     55 * @private
     56 * @param {number} a - function parameter
     57 * @param {number} z - function parameter
     58 * @returns {number} function value
     59 */
     60 function upperGammaFraction( a, z ) {
     61 	var f = upperIncompleteGammaFract( a, z );
     62 	return 1.0 / ( z - a + 1.0 + continuedFraction( f, OPTS ) );
     63 }
     64 
     65 
     66 // EXPORTS //
     67 
     68 module.exports = upperGammaFraction;