time-to-botec

Benchmark sampling in different programming languages
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README.md (4884B)


      1 <!--
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      3 @license Apache-2.0
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      5 Copyright (c) 2020 The Stdlib Authors.
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      7 Licensed under the Apache License, Version 2.0 (the "License");
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     11    http://www.apache.org/licenses/LICENSE-2.0
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     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.
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     19 -->
     20 
     21 # dapxsumkbn
     22 
     23 > Add a constant to each double-precision floating-point strided array element and compute the sum using an improved Kahan–Babuška algorithm.
     24 
     25 <section class="intro">
     26 
     27 </section>
     28 
     29 <!-- /.intro -->
     30 
     31 <section class="usage">
     32 
     33 ## Usage
     34 
     35 ```javascript
     36 var dapxsumkbn = require( '@stdlib/blas/ext/base/dapxsumkbn' );
     37 ```
     38 
     39 #### dapxsumkbn( N, alpha, x, stride )
     40 
     41 Adds a constant to each double-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm.
     42 
     43 ```javascript
     44 var Float64Array = require( '@stdlib/array/float64' );
     45 
     46 var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
     47 var N = x.length;
     48 
     49 var v = dapxsumkbn( N, 5.0, x, 1 );
     50 // returns 16.0
     51 ```
     52 
     53 The function has the following parameters:
     54 
     55 -   **N**: number of indexed elements.
     56 -   **x**: input [`Float64Array`][@stdlib/array/float64].
     57 -   **stride**: index increment for `x`.
     58 
     59 The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to access every other element in `x`,
     60 
     61 ```javascript
     62 var Float64Array = require( '@stdlib/array/float64' );
     63 var floor = require( '@stdlib/math/base/special/floor' );
     64 
     65 var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
     66 var N = floor( x.length / 2 );
     67 
     68 var v = dapxsumkbn( N, 5.0, x, 2 );
     69 // returns 25.0
     70 ```
     71 
     72 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
     73 
     74 <!-- eslint-disable stdlib/capitalized-comments -->
     75 
     76 ```javascript
     77 var Float64Array = require( '@stdlib/array/float64' );
     78 var floor = require( '@stdlib/math/base/special/floor' );
     79 
     80 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
     81 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
     82 
     83 var N = floor( x0.length / 2 );
     84 
     85 var v = dapxsumkbn( N, 5.0, x1, 2 );
     86 // returns 25.0
     87 ```
     88 
     89 #### dapxsumkbn.ndarray( N, alpha, x, stride, offset )
     90 
     91 Adds a constant to each double-precision floating-point strided array element and computes the sum using an improved Kahan–Babuška algorithm and alternative indexing semantics.
     92 
     93 ```javascript
     94 var Float64Array = require( '@stdlib/array/float64' );
     95 
     96 var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
     97 var N = x.length;
     98 
     99 var v = dapxsumkbn.ndarray( N, 5.0, x, 1, 0 );
    100 // returns 16.0
    101 ```
    102 
    103 The function has the following additional parameters:
    104 
    105 -   **offset**: starting index for `x`.
    106 
    107 While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to access every other value in `x` starting from the second value
    108 
    109 ```javascript
    110 var Float64Array = require( '@stdlib/array/float64' );
    111 var floor = require( '@stdlib/math/base/special/floor' );
    112 
    113 var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
    114 var N = floor( x.length / 2 );
    115 
    116 var v = dapxsumkbn.ndarray( N, 5.0, x, 2, 1 );
    117 // returns 25.0
    118 ```
    119 
    120 </section>
    121 
    122 <!-- /.usage -->
    123 
    124 <section class="notes">
    125 
    126 ## Notes
    127 
    128 -   If `N <= 0`, both functions return `0.0`.
    129 
    130 </section>
    131 
    132 <!-- /.notes -->
    133 
    134 <section class="examples">
    135 
    136 ## Examples
    137 
    138 <!-- eslint no-undef: "error" -->
    139 
    140 ```javascript
    141 var randu = require( '@stdlib/random/base/randu' );
    142 var round = require( '@stdlib/math/base/special/round' );
    143 var Float64Array = require( '@stdlib/array/float64' );
    144 var dapxsumkbn = require( '@stdlib/blas/ext/base/dapxsumkbn' );
    145 
    146 var x;
    147 var i;
    148 
    149 x = new Float64Array( 10 );
    150 for ( i = 0; i < x.length; i++ ) {
    151     x[ i ] = round( randu()*100.0 );
    152 }
    153 console.log( x );
    154 
    155 var v = dapxsumkbn( x.length, 5.0, x, 1 );
    156 console.log( v );
    157 ```
    158 
    159 </section>
    160 
    161 <!-- /.examples -->
    162 
    163 * * *
    164 
    165 <section class="references">
    166 
    167 ## References
    168 
    169 -   Neumaier, Arnold. 1974. "Rounding Error Analysis of Some Methods for Summing Finite Sums." _Zeitschrift Für Angewandte Mathematik Und Mechanik_ 54 (1): 39–51. doi:[10.1002/zamm.19740540106][@neumaier:1974a].
    170 
    171 </section>
    172 
    173 <!-- /.references -->
    174 
    175 <section class="links">
    176 
    177 [@stdlib/array/float64]: https://www.npmjs.com/package/@stdlib/array-float64
    178 
    179 [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
    180 
    181 [@neumaier:1974a]: https://doi.org/10.1002/zamm.19740540106
    182 
    183 </section>
    184 
    185 <!-- /.links -->