@stdlib/blas-ext-base-sasumpw/lib/sasumpw.js

Calculate the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.

/**
* @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 stride2offset = require( '@stdlib/strided-base-stride2offset' );
var ndarray = require( './ndarray.js' );


// MAIN //

/**
* Computes the sum of absolute values (L1 norm) of single-precision floating-point strided array elements using pairwise summation.
*
* ## Method
*
* -   This implementation uses pairwise summation, which accrues rounding error `O(log2 N)` instead of `O(N)`. The recursion depth is also `O(log2 N)`.
*
* ## References
*
* -   Higham, Nicholas J. 1993. "The Accuracy of Floating Point Summation." _SIAM Journal on Scientific Computing_ 14 (4): 783–99. doi:[10.1137/0914050](https://doi.org/10.1137/0914050).
*
* @param {PositiveInteger} N - number of indexed elements
* @param {Float32Array} x - input array
* @param {integer} strideX - stride length
* @returns {number} sum
*
* @example
* var Float32Array = require( '@stdlib/array-float32' );
*
* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
*
* var v = sasumpw( x.length, x, 1 );
* // returns 5.0
*/
function sasumpw( N, x, strideX ) {
	return ndarray( N, x, strideX, stride2offset( N, strideX ) );
}


// EXPORTS //

module.exports = sasumpw;