/** * @license Apache-2.0 * * Copyright (c) 2019 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'; // VARIABLES // var M = 5; // MAIN // /** * Multiplies a vector `x` by a scalar `alpha`. * * @param {PositiveInteger} N - number of indexed elements * @param {number} alpha - scalar * @param {Float32Array} x - input array * @param {integer} stride - index increment * @param {NonNegativeInteger} offset - starting index * @returns {Float32Array} input array * * @example * var Float32Array = require( '@stdlib/array/float32' ); * * var x = new Float32Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] ); * var alpha = 5.0; * * sscal( 3, alpha, x, 1, x.length-3 ); * // x => [ 1.0, -2.0, 3.0, -20.0, 25.0, -30.0 ] */ function sscal( N, alpha, x, stride, offset ) { var ix; var i; var m; if ( N <= 0 || alpha === 1.0 ) { return x; } ix = offset; // Use loop unrolling if the stride is equal to `1`... if ( stride === 1 ) { m = N % M; // If we have a remainder, run a clean-up loop... if ( m > 0 ) { for ( i = 0; i < m; i++ ) { x[ ix ] *= alpha; ix += stride; } } if ( N < M ) { return x; } for ( i = m; i < N; i += M ) { x[ i ] *= alpha; x[ i+1 ] *= alpha; x[ i+2 ] *= alpha; x[ i+3 ] *= alpha; x[ i+4 ] *= alpha; ix += M; } return x; } for ( i = 0; i < N; i++ ) { x[ ix ] *= alpha; ix += stride; } return x; } // EXPORTS // module.exports = sscal;