entropy.js (1648B)
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 exp = require( '@stdlib/math/base/special/exp' ); 25 var ln = require( '@stdlib/math/base/special/ln' ); 26 var SQRT_TWO_PI = require( '@stdlib/constants/float64/sqrt-two-pi' ); 27 28 29 // MAIN // 30 31 /** 32 * Returns the differential entropy for a lognormal distribution with location `mu` and scale `sigma`. 33 * 34 * @param {number} mu - location parameter 35 * @param {PositiveNumber} sigma - scale parameter 36 * @returns {number} entropy 37 * 38 * @example 39 * var y = entropy( 0.0, 1.0 ); 40 * // returns ~1.419 41 * 42 * @example 43 * var y = entropy( 5.0, 2.0 ); 44 * // returns ~7.112 45 * 46 * @example 47 * var y = entropy( NaN, 1.0 ); 48 * // returns NaN 49 * 50 * @example 51 * var y = entropy( 0.0, NaN ); 52 * // returns NaN 53 * 54 * @example 55 * var y = entropy( 0.0, 0.0 ); 56 * // returns NaN 57 */ 58 function entropy( mu, sigma ) { 59 if ( 60 isnan( mu ) || 61 isnan( sigma ) || 62 sigma <= 0.0 63 ) { 64 return NaN; 65 } 66 return ln( sigma * exp( mu + 0.5 ) * SQRT_TWO_PI ); 67 } 68 69 70 // EXPORTS // 71 72 module.exports = entropy;