time-to-botec

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

ndarray.js (2998B)

      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 a second-order iterative Kahan–Babuška algorithm.
     32 *
     33 * ## Method
     34 *
     35 * -   This implementation uses a second-order iterative Kahan–Babuška algorithm, as described by Klein (2005).
     36 *
     37 * ## References
     38 *
     39 * -   Klein, Andreas. 2005. "A Generalized Kahan-Babuška-Summation-Algorithm." _Computing_ 76 (3): 279–93. doi:[10.1007/s00607-005-0139-x](https://doi.org/10.1007/s00607-005-0139-x).
     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 = snansumkbn2( N, x, 2, 1 );
     55 * // returns 5.0
     56 */
     57 function snansumkbn2( N, x, stride, offset ) {
     58 	var sum;
     59 	var ccs;
     60 	var ix;
     61 	var cs;
     62 	var cc;
     63 	var v;
     64 	var t;
     65 	var c;
     66 	var i;
     67 
     68 	if ( N <= 0 ) {
     69 		return 0.0;
     70 	}
     71 	if ( N === 1 || stride === 0 ) {
     72 		if ( isnanf( x[ offset ] ) ) {
     73 			return 0.0;
     74 		}
     75 		return x[ offset ];
     76 	}
     77 	ix = offset;
     78 	sum = 0.0;
     79 	ccs = 0.0; // second order correction term for lost low order bits
     80 	cs = 0.0; // first order correction term for lost low order bits
     81 	for ( i = 0; i < N; i++ ) {
     82 		v = x[ ix ];
     83 		if ( isnanf( v ) === false ) {
     84 			t = float64ToFloat32( sum + v );
     85 			if ( abs( sum ) >= abs( v ) ) {
     86 				c = float64ToFloat32( float64ToFloat32( sum-t ) + v );
     87 			} else {
     88 				c = float64ToFloat32( float64ToFloat32( v-t ) + sum );
     89 			}
     90 			sum = t;
     91 			t = float64ToFloat32( cs + c );
     92 			if ( abs( cs ) >= abs( c ) ) {
     93 				cc = float64ToFloat32( float64ToFloat32(cs-t) + c );
     94 			} else {
     95 				cc = float64ToFloat32( float64ToFloat32(c-t) + cs );
     96 			}
     97 			cs = t;
     98 			ccs = float64ToFloat32( ccs + cc );
     99 		}
    100 		ix += stride;
    101 	}
    102 	return float64ToFloat32( sum + float64ToFloat32( cs + ccs ) );
    103 }
    104 
    105 
    106 // EXPORTS //
    107 
    108 module.exports = snansumkbn2;