time-to-botec

Benchmark sampling in different programming languages
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ndarray.js (2691B)

      1 /**
      2 * @license Apache-2.0
      3 *
      4 * Copyright (c) 2020 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 float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
     24 var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
     25 var abs = require( '@stdlib/math/base/special/abs' );
     26 
     27 
     28 // MAIN //
     29 
     30 /**
     31 * Computes the sum of single-precision floating-point strided array elements, ignoring `NaN` values and using an improved Kahan–Babuška algorithm.
     32 *
     33 * ## Method
     34 *
     35 * -   This implementation uses an "improved Kahan–Babuška algorithm", as described by Neumaier (1974).
     36 *
     37 * ## References
     38 *
     39 * -   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](https://doi.org/10.1002/zamm.19740540106).
     40 *
     41 * @param {PositiveInteger} N - number of indexed elements
     42 * @param {Float32Array} x - input array
     43 * @param {integer} stride - stride length
     44 * @param {NonNegativeInteger} offset - starting index
     45 * @returns {number} sum
     46 *
     47 * @example
     48 * var Float32Array = require( '@stdlib/array/float32' );
     49 * var floor = require( '@stdlib/math/base/special/floor' );
     50 *
     51 * var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ] );
     52 * var N = floor( x.length / 2 );
     53 *
     54 * var v = snansumkbn( N, x, 2, 1 );
     55 * // returns 5.0
     56 */
     57 function snansumkbn( N, x, stride, offset ) {
     58 	var sum;
     59 	var ix;
     60 	var v;
     61 	var t;
     62 	var c;
     63 	var i;
     64 
     65 	if ( N <= 0 ) {
     66 		return 0.0;
     67 	}
     68 	if ( N === 1 || stride === 0 ) {
     69 		if ( isnanf( x[ offset ] ) ) {
     70 			return 0.0;
     71 		}
     72 		return x[ offset ];
     73 	}
     74 	ix = offset;
     75 	sum = 0.0;
     76 	c = 0.0;
     77 	for ( i = 0; i < N; i++ ) {
     78 		v = x[ ix ];
     79 		if ( isnanf( v ) === false ) {
     80 			t = sum + v;
     81 			if ( abs( sum ) >= abs( v ) ) {
     82 				c = float64ToFloat32( c + float64ToFloat32( float64ToFloat32( sum-t ) + v ) ); // eslint-disable-line max-len
     83 			} else {
     84 				c = float64ToFloat32( c + float64ToFloat32( float64ToFloat32( v-t ) + sum ) ); // eslint-disable-line max-len
     85 			}
     86 			sum = t;
     87 		}
     88 		ix += stride;
     89 	}
     90 	return float64ToFloat32( sum + c );
     91 }
     92 
     93 
     94 // EXPORTS //
     95 
     96 module.exports = snansumkbn;