time-to-botec

Benchmark sampling in different programming languages
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main.js (1580B)


      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( './../../../../base/assert/is-nan' );
     24 var exp = require( './../../../../base/special/exp' );
     25 var log1p = require( './../../../../base/special/log1p' );
     26 var LN2 = require( '@stdlib/constants/float64/ln-two' );
     27 
     28 
     29 // MAIN //
     30 
     31 /**
     32 * Computes the natural logarithm of \\( \exp(x) + \exp(y) \\).
     33 *
     34 * @param {number} x - input value
     35 * @param {number} y - input value
     36 * @returns {number} natural logarithm of \\( \exp(x) + \exp(y) \\)
     37 *
     38 * @example
     39 * var v = logaddexp( 90.0, 90.0 );
     40 * // returns ~90.6931
     41 *
     42 * @example
     43 * var v = logaddexp( -20.0, 90.0 );
     44 * // returns 90.0
     45 *
     46 * @example
     47 * var v = logaddexp( 0.0, -100 );
     48 * // returns ~3.7201e-44
     49 */
     50 function logaddexp( x, y ) {
     51 	var d;
     52 	if ( isnan( x ) || isnan( y ) ) {
     53 		return NaN;
     54 	}
     55 	if ( x === y ) {
     56 		return x + LN2;
     57 	}
     58 	d = x - y;
     59 	if ( d > 0.0 ) {
     60 		return x + log1p( exp( -d ) );
     61 	}
     62 	return y + log1p( exp( d ) );
     63 }
     64 
     65 
     66 // EXPORTS //
     67 
     68 module.exports = logaddexp;