time-to-botec

Benchmark sampling in different programming languages
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factory.js (2074B)


      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 'use strict';
     20 
     21 // MODULES //
     22 
     23 var constantFunction = require( '@stdlib/utils/constant-function' );
     24 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     25 var erfc = require( '@stdlib/math/base/special/erfc' );
     26 var sqrt = require( '@stdlib/math/base/special/sqrt' );
     27 var ln = require( '@stdlib/math/base/special/ln' );
     28 var NINF = require( '@stdlib/constants/float64/ninf' );
     29 
     30 
     31 // MAIN //
     32 
     33 /**
     34 * Returns a function for evaluating the logarithm of the cumulative distribution function (CDF) for a Lévy distribution with location parameter `mu` and scale parameter `c`.
     35 *
     36 * @param {number} mu - location parameter
     37 * @param {PositiveNumber} c - scale parameter
     38 * @returns {Function} logCDF
     39 *
     40 * @example
     41 * var logcdf = factory( 3.0, 1.5 );
     42 *
     43 * var y = logcdf( 4.0 );
     44 * // returns ~-1.511
     45 *
     46 * y = logcdf( 2.0 );
     47 * // returns -Infinity
     48 */
     49 function factory( mu, c ) {
     50 	if (
     51 		isnan( mu ) ||
     52 		isnan( c ) ||
     53 		c <= 0.0
     54 	) {
     55 		return constantFunction( NaN );
     56 	}
     57 	return logcdf;
     58 
     59 	/**
     60 	* Evaluates the logarithm of the cumulative distribution function (CDF) for a Lévy distribution.
     61 	*
     62 	* @private
     63 	* @param {number} x - input value
     64 	* @returns {number} evaluated logCDF
     65 	*
     66 	* @example
     67 	* var y = logcdf( 2.0 );
     68 	* // returns <number>
     69 	*/
     70 	function logcdf( x ) {
     71 		var z;
     72 		if ( isnan( x ) ) {
     73 			return NaN;
     74 		}
     75 		if ( x < mu ) {
     76 			return NINF;
     77 		}
     78 		z = sqrt( c / ( 2.0 * ( x-mu ) ) );
     79 		return ln( erfc( z ) );
     80 	}
     81 }
     82 
     83 
     84 // EXPORTS //
     85 
     86 module.exports = factory;