/** * @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 cumulative minimum absolute value of double-precision floating-point strided array elements. * * @param {PositiveInteger} N - number of indexed elements * @param {Float64Array} x - input array * @param {integer} strideX - `x` stride length * @param {Float64Array} y - output array * @param {integer} strideY - `y` stride length * @returns {Float64Array} output array * * @example * var Float64Array = require( '@stdlib/array/float64' ); * * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] ); * var y = new Float64Array( x.length ); * var N = x.length; * * var v = dcuminabs( N, x, 1, y, 1 ); * // returns [ 1.0, 1.0, 1.0 ] */ function dcuminabs( N, x, strideX, y, strideY ) { var min; var ix; var iy; var v; var i; if ( N <= 0 ) { return y; } if ( strideX < 0 ) { ix = (1-N) * strideX; } else { ix = 0; } if ( strideY < 0 ) { iy = (1-N) * strideY; } else { iy = 0; } min = abs( x[ ix ] ); y[ iy ] = min; iy += strideY; i = 1; if ( isnan( min ) === false ) { for ( i; i < N; i++ ) { ix += strideX; v = abs( x[ ix ] ); if ( isnan( v ) ) { min = v; break; } if ( v < min ) { min = v; } y[ iy ] = min; iy += strideY; } } if ( isnan( min ) ) { for ( i; i < N; i++ ) { y[ iy ] = min; iy += strideY; } } return y; } // EXPORTS // module.exports = dcuminabs;