time-to-botec

Benchmark sampling in different programming languages
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median.js (1582B)


      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 erfcinv = require( '@stdlib/math/base/special/erfcinv' );
     24 var isnan = require( '@stdlib/math/base/assert/is-nan' );
     25 var pow = require( '@stdlib/math/base/special/pow' );
     26 
     27 
     28 // VARIABLES //
     29 
     30 var DENOM = 2.0 * pow( erfcinv( 0.5 ), 2.0 );
     31 
     32 
     33 // MAIN //
     34 
     35 /**
     36 * Returns the median for a Lévy distribution with location `mu` and scale `c`.
     37 *
     38 * @param {number} mu - location parameter
     39 * @param {PositiveNumber} c - scale parameter
     40 * @returns {number} median
     41 *
     42 * @example
     43 * var y = median( 0.0, 1.0 );
     44 * // returns ~2.198
     45 *
     46 * @example
     47 * var y = median( 5.0, 2.0 );
     48 * // returns ~9.396
     49 *
     50 * @example
     51 * var y = median( NaN, 1.0 );
     52 * // returns NaN
     53 *
     54 * @example
     55 * var y = median( 0.0, NaN );
     56 * // returns NaN
     57 *
     58 * @example
     59 * var y = median( 0.0, 0.0 );
     60 * // returns NaN
     61 */
     62 function median( mu, c ) {
     63 	if (
     64 		isnan( mu ) ||
     65 		isnan( c ) ||
     66 		c <= 0.0
     67 	) {
     68 		return NaN;
     69 	}
     70 	return mu + ( c / DENOM );
     71 }
     72 
     73 
     74 // EXPORTS //
     75 
     76 module.exports = median;