All files ndarray.js

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/**
* @license Apache-2.0
*
* Copyright (c) 2026 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 dnannsumkbn2 = require( '@stdlib/blas/ext/base/dnannsumkbn2' ).ndarray;
var Float64Array = require( '@stdlib/array/float64' );
 
 
// VARIABLES //
 
var WORKSPACE = new Float64Array( 2 );
 
 
// MAIN //
 
/**
* Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values, 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 {Float64Array} x - input array
* @param {integer} strideX - stride length
* @param {NonNegativeInteger} offsetX - starting index
* @returns {number} arithmetic mean
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
*
* var v = dnanmeankbn2( 4, x, 2, 1 );
* // returns 1.25
*/
function dnanmeankbn2( N, x, strideX, offsetX ) {
	if ( N <= 0 ) {
		return NaN;
	}
	if ( N === 1 || strideX === 0 ) {
		return x[ offsetX ];
	}
	WORKSPACE[ 0 ] = 0.0;
	WORKSPACE[ 1 ] = 0;
	dnannsumkbn2( N, x, strideX, offsetX, WORKSPACE, 1, 0 );
	return WORKSPACE[ 0 ] / WORKSPACE[ 1 ];
}
 
 
// EXPORTS //
 
module.exports = dnanmeankbn2;