time-to-botec

Benchmark sampling in different programming languages
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factory.js (1941B)


      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 abs = require( '@stdlib/math/base/special/abs' );
     26 var exp = require( '@stdlib/math/base/special/exp' );
     27 var pow = require( '@stdlib/math/base/special/pow' );
     28 
     29 
     30 // MAIN //
     31 
     32 /**
     33 * Returns a function for evaluating the moment-generating function (MGF) of a Laplace (double exponential) distribution with location parameter `mu` and scale parameter `b`.
     34 *
     35 * @param {number} mu - mean
     36 * @param {NonNegativeNumber} b - scale parameter
     37 * @returns {Function} MGF
     38 *
     39 * @example
     40 * var mgf = factory( 4.0, 2.0 );
     41 *
     42 * var y = mgf( 0.2 );
     43 * // returns ~2.649
     44 *
     45 * y = mgf( 0.4 );
     46 * // returns ~13.758
     47 */
     48 function factory( mu, b ) {
     49 	if ( isnan( mu ) || isnan( b ) || b <= 0.0 ) {
     50 		return constantFunction( NaN );
     51 	}
     52 	return mgf;
     53 
     54 	/**
     55 	* Evaluates the moment-generating function (MGF) for a Laplace (double exponential) distribution.
     56 	*
     57 	* @private
     58 	* @param {number} t - input value
     59 	* @returns {number} evaluated MGF
     60 	*
     61 	* @example
     62 	* var y = mgf( 0.5 );
     63 	* // returns <number>
     64 	*/
     65 	function mgf( t ) {
     66 		var bt;
     67 		if ( abs( t ) >= 1.0/b ) {
     68 			return NaN;
     69 		}
     70 		bt = b * t;
     71 		return exp( mu * t ) / ( 1.0 - pow( bt, 2.0 ) );
     72 	}
     73 }
     74 
     75 
     76 // EXPORTS //
     77 
     78 module.exports = factory;