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.
*/
 
/* eslint-disable max-len */
 
'use strict';
 
// MODULES //
 
var reinterpret = require( '@stdlib/strided/base/reinterpret-complex64' );
var realf = require( '@stdlib/complex/float32/real' );
var imagf = require( '@stdlib/complex/float32/imag' );
var caxpy = require( '@stdlib/blas/base/caxpy' ).ndarray;
var cscal = require( '@stdlib/blas/base/cscal' ).ndarray;
var muladd = require( '@stdlib/complex/float32/base/mul-add' ).assign;
var f32 = require( '@stdlib/number/float64/base/to-float32' );
 
 
// VARIABLES //
 
var M = 5;
 
 
// MAIN //
 
/**
* Multiplies a single-precision complex floating-point strided array `x` by a constant and adds the result to a single-precision complex floating-point strided array `y` multiplied by a constant using alternative indexing semantics.
*
* @param {PositiveInteger} N - number of indexed elements
* @param {Complex64} alpha - first scalar constant
* @param {Complex64Array} x - input array
* @param {integer} strideX - `x` stride length
* @param {NonNegativeInteger} offsetX - starting `x` index
* @param {Complex64} beta - second scalar constant
* @param {Complex64Array} y - output array
* @param {integer} strideY - `y` stride length
* @param {NonNegativeInteger} offsetY - starting `y` index
* @returns {Complex64Array} output array
*
* @example
* var Complex64Array = require( '@stdlib/array/complex64' );
* var Complex64 = require( '@stdlib/complex/float32/ctor' );
*
* var x = new Complex64Array( [ 1.0, 2.0, 3.0, -1.0, 0.0, 1.0 ] );
* var y = new Complex64Array( [ 2.0, 1.0, -1.0, 3.0, 4.0, 0.0 ] );
*
* var alpha = new Complex64( 2.0, 1.0 );
* var beta = new Complex64( 1.0, -1.0 );
*
* caxpby( x.length, alpha, x, 1, 0, beta, y, 1, 0 );
* // y => <Complex64Array>[ 3.0, 4.0, 9.0, 5.0, 3.0, -2.0 ]
*/
function caxpby( N, alpha, x, strideX, offsetX, beta, y, strideY, offsetY ) {
	var xview;
	var yview;
	var are;
	var aim;
	var bre;
	var bim;
	var ix;
	var iy;
	var sx;
	var sy;
	var yr;
	var yi;
	var m;
	var i;
 
	if ( N <= 0 ) {
		return y;
	}
 
	// Decompose the constants into their real and imaginary components:
	are = realf( alpha );
	aim = imagf( alpha );
	bre = realf( beta );
	bim = imagf( beta );
 
	// Fast path: when alpha = 0+0i, delegate to cscal (y = beta * y)
	if ( are === 0.0 && aim === 0.0 ) {
		return cscal( N, beta, y, strideY, offsetY );
	}
	// Fast path: when beta = 1+0i, delegate to caxpy (y = alpha * x + y)
	if ( bre === 1.0 && bim === 0.0 ) {
		return caxpy( N, alpha, x, strideX, offsetX, y, strideY, offsetY );
	}
 
	// Reinterpret the complex input arrays as real-valued arrays:
	xview = reinterpret( x, 0 );
	yview = reinterpret( y, 0 );
 
	// Adjust the strides and offsets according to the real-valued arrays:
	ix = offsetX * 2;
	iy = offsetY * 2;
	sx = strideX * 2;
	sy = strideY * 2;
 
	// Use loop unrolling if both strides are equal to `1`...
	if ( strideX === 1 && strideY === 1 ) {
		m = N % M;
 
		// If we have a remainder, run a clean-up loop...
		if ( m > 0 ) {
			for ( i = 0; i < m; i++ ) {
				yr = yview[ iy ];
				yi = yview[ iy+1 ];
				muladd( are, aim, xview[ ix ], xview[ ix+1 ], f32( f32( bre*yr ) - f32( bim*yi ) ), f32( f32( bre*yi ) + f32( bim*yr ) ), yview, 1, iy );
				ix += sx;
				iy += sy;
			}
		}
		if ( N < M ) {
			return y;
		}
		for ( i = m; i < N; i += M ) {
			yr = yview[ iy ];
			yi = yview[ iy+1 ];
			muladd( are, aim, xview[ ix ], xview[ ix+1 ], f32( f32( bre*yr ) - f32( bim*yi ) ), f32( f32( bre*yi ) + f32( bim*yr ) ), yview, 1, iy );
			yr = yview[ iy+2 ];
			yi = yview[ iy+3 ];
			muladd( are, aim, xview[ ix+2 ], xview[ ix+3 ], f32( f32( bre*yr ) - f32( bim*yi ) ), f32( f32( bre*yi ) + f32( bim*yr ) ), yview, 1, iy+2 );
			yr = yview[ iy+4 ];
			yi = yview[ iy+5 ];
			muladd( are, aim, xview[ ix+4 ], xview[ ix+5 ], f32( f32( bre*yr ) - f32( bim*yi ) ), f32( f32( bre*yi ) + f32( bim*yr ) ), yview, 1, iy+4 );
			yr = yview[ iy+6 ];
			yi = yview[ iy+7 ];
			muladd( are, aim, xview[ ix+6 ], xview[ ix+7 ], f32( f32( bre*yr ) - f32( bim*yi ) ), f32( f32( bre*yi ) + f32( bim*yr ) ), yview, 1, iy+6 );
			yr = yview[ iy+8 ];
			yi = yview[ iy+9 ];
			muladd( are, aim, xview[ ix+8 ], xview[ ix+9 ], f32( f32( bre*yr ) - f32( bim*yi ) ), f32( f32( bre*yi ) + f32( bim*yr ) ), yview, 1, iy+8 );
			ix += M * 2;
			iy += M * 2;
		}
		return y;
	}
	for ( i = 0; i < N; i++ ) {
		yr = yview[ iy ];
		yi = yview[ iy+1 ];
		muladd( are, aim, xview[ ix ], xview[ ix+1 ], f32( f32( bre*yr ) - f32( bim*yi ) ), f32( f32( bre*yi ) + f32( bim*yr ) ), yview, 1, iy );
		ix += sx;
		iy += sy;
	}
	return y;
}
 
 
// EXPORTS //
 
module.exports = caxpby;