All files ndarray.js

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/**
* @license Apache-2.0
*
* Copyright (c) 2020 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
*    http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
 
'use strict';
 
// MODULES //
 
var f32 = require( '@stdlib/number/float64/base/to-float32' );
var abs = require( '@stdlib/math/base/special/abs' );
 
 
// MAIN //
 
/**
* Computes the cumulative sum of single-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.
*
* ## Method
*
* -   This implementation uses a second-order iterative Kahan–Babuška algorithm, as described by Klein (2005).
*
* ## References
*
* -   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).
*
* @param {PositiveInteger} N - number of indexed elements
* @param {number} sum - initial sum
* @param {Float32Array} x - input array
* @param {integer} strideX - stride length for `x`
* @param {NonNegativeInteger} offsetX - starting index for `x`
* @param {Float32Array} y - output array
* @param {integer} strideY - stride length for `y`
* @param {NonNegativeInteger} offsetY - starting index for `y`
* @returns {Float32Array} output array
*
* @example
* var Float32Array = require( '@stdlib/array/float32' );
*
* var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
* var y = new Float32Array( x.length );
*
* var v = scusumkbn2( 4, 0.0, x, 2, 1, y, 1, 0 );
* // returns <Float32Array>[ 1.0, -1.0, 1.0, 5.0, 0.0, 0.0, 0.0, 0.0 ]
*/
function scusumkbn2( N, sum, x, strideX, offsetX, y, strideY, offsetY ) {
	var ccs;
	var ix;
	var iy;
	var cs;
	var cc;
	var v;
	var t;
	var c;
	var i;
 
	if ( N <= 0 ) {
		return y;
	}
	ix = offsetX;
	iy = offsetY;
 
	// In order to preserve the sign of zero which can be lost during compensated summation below, find the first non-zero element...
	if ( sum === 0.0 ) {
		for ( i = 0; i < N; i++ ) {
			v = x[ ix ];
			if ( v !== 0.0 ) {
				break;
			}
			sum = f32( sum + v );
			y[ iy ] = sum;
			ix += strideX;
			iy += strideY;
		}
	} else {
		i = 0;
	}
	ccs = 0.0; // second order correction term for lost low order bits
	cs = 0.0; // first order correction term for lost low order bits
	for ( ; i < N; i++ ) {
		v = x[ ix ];
		t = f32( sum+v );
		if ( abs( sum ) >= abs( v ) ) {
			c = f32( f32( sum-t ) + v );
		} else {
			c = f32( f32( v-t ) + sum );
		}
		sum = t;
		t = f32( cs+c );
		if ( abs( cs ) >= abs( c ) ) {
			cc = f32( f32( cs-t ) + c );
		} else {
			cc = f32( f32( c-t ) + cs );
		}
		cs = t;
		ccs = f32( ccs+cc );
 
		y[ iy ] = f32( sum + f32( cs+ccs ) );
		ix += strideX;
		iy += strideY;
	}
	return y;
}
 
 
// EXPORTS //
 
module.exports = scusumkbn2;