time-to-botec

Benchmark sampling in different programming languages
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README.md (2235B)


      1 <!--
      2 
      3 @license Apache-2.0
      4 
      5 Copyright (c) 2018 The Stdlib Authors.
      6 
      7 Licensed under the Apache License, Version 2.0 (the "License");
      8 you may not use this file except in compliance with the License.
      9 You may obtain a copy of the License at
     10 
     11    http://www.apache.org/licenses/LICENSE-2.0
     12 
     13 Unless required by applicable law or agreed to in writing, software
     14 distributed under the License is distributed on an "AS IS" BASIS,
     15 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     16 See the License for the specific language governing permissions and
     17 limitations under the License.
     18 
     19 -->
     20 
     21 # logaddexp
     22 
     23 > Evaluates the [natural logarithm][@stdlib/math/base/special/ln] of `exp(x) + exp(y)`.
     24 
     25 <section class="intro">
     26 
     27 Log-domain computations are commonly used to increase accuracy and avoid underflow and overflow when very small or very large numbers are represented directly as limited-precision, floating-point numbers. For example, in statistics, evaluating `logaddexp()` is useful when probabilities are so small as to exceed the normal range of floating-point numbers.
     28 
     29 </section>
     30 
     31 <section class="usage">
     32 
     33 ## Usage
     34 
     35 ```javascript
     36 var logaddexp = require( '@stdlib/math/base/special/logaddexp' );
     37 ```
     38 
     39 #### logaddexp( x, y )
     40 
     41 Evaluates the [natural logarithm][@stdlib/math/base/special/ln] of `exp(x) + exp(y)`.
     42 
     43 ```javascript
     44 var v = logaddexp( 90.0, 90.0 );
     45 // returns ~90.6931
     46 
     47 v = logaddexp( -20.0, 90.0 );
     48 // returns 90.0
     49 
     50 v = logaddexp( 0.0, -100.0 );
     51 // returns ~3.7201e-44
     52 
     53 v = logaddexp( NaN, 1.0 );
     54 // returns NaN
     55 ```
     56 
     57 </section>
     58 
     59 <!-- /.usage -->
     60 
     61 <section class="examples">
     62 
     63 ## Examples
     64 
     65 <!-- eslint no-undef: "error" -->
     66 
     67 ```javascript
     68 var incrspace = require( '@stdlib/array/incrspace' );
     69 var logaddexp = require( '@stdlib/math/base/special/logaddexp' );
     70 
     71 var x;
     72 var v;
     73 var i;
     74 var j;
     75 
     76 x = incrspace( -100.0, 100.0, 1.0 );
     77 for ( i = 0; i < x.length; i++ ) {
     78     for ( j = i; j < x.length; j++ ) {
     79         v = logaddexp( x[ i ], x[ j ] );
     80         console.log( 'x: %d, y: %d, f(x, y): %d', x[ i ], x[ j ], v );
     81     }
     82 }
     83 ```
     84 
     85 </section>
     86 
     87 <!-- /.examples -->
     88 
     89 <section class="links">
     90 
     91 [@stdlib/math/base/special/ln]: https://www.npmjs.com/package/@stdlib/math/tree/main/base/special/ln
     92 
     93 </section>
     94 
     95 <!-- /.links -->