time-to-botec

Benchmark sampling in different programming languages
Log | Files | Refs | README

README.md (5934B)


      1 <!--
      2 
      3 @license Apache-2.0
      4 
      5 Copyright (c) 2020 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 # dcusumkbn
     22 
     23 > Calculate the cumulative sum of double-precision floating-point strided array elements 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 dcusumkbn = require( '@stdlib/blas/ext/base/dcusumkbn' );
     37 ```
     38 
     39 #### dcusumkbn( N, sum, x, strideX, y, strideY )
     40 
     41 Computes the cumulative sum of double-precision floating-point strided array elements 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 y = new Float64Array( x.length );
     48 
     49 dcusumkbn( x.length, 0.0, x, 1, y, 1 );
     50 // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
     51 
     52 x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
     53 y = new Float64Array( x.length );
     54 
     55 dcusumkbn( x.length, 10.0, x, 1, y, 1 );
     56 // y => <Float64Array>[ 11.0, 9.0, 11.0 ]
     57 ```
     58 
     59 The function has the following parameters:
     60 
     61 -   **N**: number of indexed elements.
     62 -   **sum**: initial sum.
     63 -   **x**: input [`Float64Array`][@stdlib/array/float64].
     64 -   **strideX**: index increment for `x`.
     65 -   **y**: output [`Float64Array`][@stdlib/array/float64].
     66 -   **strideY**: index increment for `y`.
     67 
     68 The `N` and `stride` parameters determine which elements in `x` and `y` are accessed at runtime. For example, to compute the cumulative sum of every other element in `x`,
     69 
     70 ```javascript
     71 var Float64Array = require( '@stdlib/array/float64' );
     72 var floor = require( '@stdlib/math/base/special/floor' );
     73 
     74 var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
     75 var y = new Float64Array( x.length );
     76 
     77 var N = floor( x.length / 2 );
     78 
     79 var v = dcusumkbn( N, 0.0, x, 2, y, 1 );
     80 // y => <Float64Array>[ 1.0, 3.0, 1.0, 5.0, 0.0, 0.0, 0.0, 0.0 ]
     81 ```
     82 
     83 Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
     84 
     85 <!-- eslint-disable stdlib/capitalized-comments -->
     86 
     87 ```javascript
     88 var Float64Array = require( '@stdlib/array/float64' );
     89 var floor = require( '@stdlib/math/base/special/floor' );
     90 
     91 // Initial arrays...
     92 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
     93 var y0 = new Float64Array( x0.length );
     94 
     95 // Create offset views...
     96 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
     97 var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
     98 
     99 var N = floor( x0.length / 2 );
    100 
    101 dcusumkbn( N, 0.0, x1, -2, y1, 1 );
    102 // y0 => <Float64Array>[ 0.0, 0.0, 0.0, 4.0, 6.0, 4.0, 5.0, 0.0 ]
    103 ```
    104 
    105 #### dcusumkbn.ndarray( N, sum, x, strideX, offsetX, y, strideY, offsetY )
    106 
    107 Computes the cumulative sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm and alternative indexing semantics.
    108 
    109 ```javascript
    110 var Float64Array = require( '@stdlib/array/float64' );
    111 
    112 var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
    113 var y = new Float64Array( x.length );
    114 
    115 dcusumkbn.ndarray( x.length, 0.0, x, 1, 0, y, 1, 0 );
    116 // y => <Float64Array>[ 1.0, -1.0, 1.0 ]
    117 ```
    118 
    119 The function has the following additional parameters:
    120 
    121 -   **offsetX**: starting index for `x`.
    122 -   **offsetY**: starting index for `y`.
    123 
    124 While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, `offsetX` and `offsetY` parameters support indexing semantics based on a starting indices. For example, to calculate the cumulative sum of every other value in `x` starting from the second value and to store in the last `N` elements of `y` starting from the last element
    125 
    126 ```javascript
    127 var Float64Array = require( '@stdlib/array/float64' );
    128 var floor = require( '@stdlib/math/base/special/floor' );
    129 
    130 var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
    131 var y = new Float64Array( x.length );
    132 
    133 var N = floor( x.length / 2 );
    134 
    135 dcusumkbn.ndarray( N, 0.0, x, 2, 1, y, -1, y.length-1 );
    136 // y => <Float64Array>[ 0.0, 0.0, 0.0, 0.0, 5.0, 1.0, -1.0, 1.0 ]
    137 ```
    138 
    139 </section>
    140 
    141 <!-- /.usage -->
    142 
    143 <section class="notes">
    144 
    145 ## Notes
    146 
    147 -   If `N <= 0`, both functions return `y` unchanged.
    148 
    149 </section>
    150 
    151 <!-- /.notes -->
    152 
    153 <section class="examples">
    154 
    155 ## Examples
    156 
    157 <!-- eslint no-undef: "error" -->
    158 
    159 ```javascript
    160 var randu = require( '@stdlib/random/base/randu' );
    161 var round = require( '@stdlib/math/base/special/round' );
    162 var Float64Array = require( '@stdlib/array/float64' );
    163 var dcusumkbn = require( '@stdlib/blas/ext/base/dcusumkbn' );
    164 
    165 var y;
    166 var x;
    167 var i;
    168 
    169 x = new Float64Array( 10 );
    170 y = new Float64Array( x.length );
    171 for ( i = 0; i < x.length; i++ ) {
    172     x[ i ] = round( randu()*100.0 );
    173 }
    174 console.log( x );
    175 console.log( y );
    176 
    177 dcusumkbn( x.length, 0.0, x, 1, y, -1 );
    178 console.log( y );
    179 ```
    180 
    181 </section>
    182 
    183 <!-- /.examples -->
    184 
    185 * * *
    186 
    187 <section class="references">
    188 
    189 ## References
    190 
    191 -   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].
    192 
    193 </section>
    194 
    195 <!-- /.references -->
    196 
    197 <section class="links">
    198 
    199 [@stdlib/array/float64]: https://www.npmjs.com/package/@stdlib/array-float64
    200 
    201 [mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
    202 
    203 [@neumaier:1974a]: https://doi.org/10.1002/zamm.19740540106
    204 
    205 </section>
    206 
    207 <!-- /.links -->