time-to-botec

Benchmark sampling in different programming languages
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entropy.js (1406B)


      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 isnan = require( '@stdlib/math/base/assert/is-nan' );
     24 var ln = require( '@stdlib/math/base/special/ln' );
     25 var PI = require( '@stdlib/constants/float64/pi' );
     26 
     27 
     28 // MAIN //
     29 
     30 /**
     31 * Returns the differential entropy of a Cauchy distribution.
     32 *
     33 * @param {number} x0 - location parameter
     34 * @param {PositiveNumber} gamma - scale parameter
     35 * @returns {PositiveNumber} entropy
     36 *
     37 * @example
     38 * var v = entropy( 10.0, 5.0 );
     39 * // returns ~4.14
     40 *
     41 * @example
     42 * var v = entropy( 7.0, 0.1 );
     43 * // returns ~0.228
     44 *
     45 * @example
     46 * var v = entropy( 10.0, -0.5 );
     47 * // returns NaN
     48 */
     49 function entropy( x0, gamma ) {
     50 	if (
     51 		isnan( gamma ) ||
     52 		isnan( x0 ) ||
     53 		gamma <= 0.0
     54 	) {
     55 		return NaN;
     56 	}
     57 	return ln( gamma ) + ln( 4.0*PI );
     58 }
     59 
     60 
     61 // EXPORTS //
     62 
     63 module.exports = entropy;