scusumkbn2.js (2963B)
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 abs = require( '@stdlib/math/base/special/abs' ); 25 26 27 // MAIN // 28 29 /** 30 * Computes the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm. 31 * 32 * ## Method 33 * 34 * - This implementation uses a second-order iterative Kahan–Babuška algorithm, as described by Klein (2005). 35 * 36 * ## References 37 * 38 * - 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). 39 * 40 * @param {PositiveInteger} N - number of indexed elements 41 * @param {number} sum - initial sum 42 * @param {Float32Array} x - input array 43 * @param {integer} strideX - `x` stride length 44 * @param {Float32Array} y - output array 45 * @param {integer} strideY - `y` stride length 46 * @returns {Float32Array} output array 47 * 48 * @example 49 * var Float32Array = require( '@stdlib/array/float32' ); 50 * 51 * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] ); 52 * var y = new Float32Array( x.length ); 53 * var N = x.length; 54 * 55 * var v = scusumkbn2( N, 0.0, x, 1, y, 1 ); 56 * // returns <Float32Array>[ 1.0, -1.0, 1.0 ] 57 */ 58 function scusumkbn2( N, sum, x, strideX, y, strideY ) { 59 var ccs; 60 var ix; 61 var iy; 62 var cs; 63 var cc; 64 var v; 65 var t; 66 var c; 67 var i; 68 69 if ( N <= 0 ) { 70 return y; 71 } 72 if ( strideX < 0 ) { 73 ix = (1-N) * strideX; 74 } else { 75 ix = 0; 76 } 77 if ( strideY < 0 ) { 78 iy = (1-N) * strideY; 79 } else { 80 iy = 0; 81 } 82 ccs = 0.0; // second order correction term for lost low order bits 83 cs = 0.0; // first order correction term for lost low order bits 84 for ( i = 0; i < N; i++ ) { 85 v = x[ ix ]; 86 t = float64ToFloat32( sum+v ); 87 if ( abs( sum ) >= abs( v ) ) { 88 c = float64ToFloat32( float64ToFloat32( sum-t ) + v ); 89 } else { 90 c = float64ToFloat32( float64ToFloat32( v-t ) + sum ); 91 } 92 sum = t; 93 t = float64ToFloat32( cs+c ); 94 if ( abs( cs ) >= abs( c ) ) { 95 cc = float64ToFloat32( float64ToFloat32( cs-t ) + c ); 96 } else { 97 cc = float64ToFloat32( float64ToFloat32( c-t ) + cs ); 98 } 99 cs = t; 100 ccs = float64ToFloat32( ccs+cc ); 101 102 y[ iy ] = float64ToFloat32( sum + float64ToFloat32( cs+ccs ) ); 103 ix += strideX; 104 iy += strideY; 105 } 106 return y; 107 } 108 109 110 // EXPORTS // 111 112 module.exports = scusumkbn2;