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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 isnan = require( '@stdlib/math/base/assert/is-nan' );
var abs = require( '@stdlib/math/base/special/abs' );
// MAIN //
/**
* Computes the sum of absolute values (L1 norm) of double-precision floating-point strided array elements, ignoring `NaN` values and using ordinary recursive summation.
*
* @param {PositiveInteger} N - number of indexed elements
* @param {Float64Array} x - input array
* @param {integer} strideX - stride length
* @param {NonNegativeInteger} offsetX - starting index
* @returns {number} sum
*
* @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, NaN, NaN ] );
*
* var v = dnanasumors( 4, x, 2, 1 );
* // returns 9.0
*/
function dnanasumors( N, x, strideX, offsetX ) {
var sum;
var ix;
var v;
var i;
if ( N <= 0 ) {
return 0.0;
}
ix = offsetX;
if ( strideX === 0 ) {
if ( isnan( x[ ix ] ) ) {
return 0.0;
}
return abs( x[ ix ] ) * N;
}
sum = 0.0;
for ( i = 0; i < N; i++ ) {
v = x[ ix ];
if ( isnan( v ) === false ) {
sum += abs( v );
}
ix += strideX;
}
return sum;
}
// EXPORTS //
module.exports = dnanasumors;
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