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Scale a single-precision complex floating-point number by a real-valued single-precision floating-point scalar constant.
npm install @stdlib/complex-float32-base-scale
Alternatively,
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var scale = require( '@stdlib/complex-float32-base-scale' );
Scales a single-precision complex floating-point number by a real-valued single-precision floating-point scalar constant.
var Complex64 = require( '@stdlib/complex-float32-ctor' );
var c = new Complex64( 5.0, 3.0 );
var v = scale( 5.0, c );
// returns <Complex64>[ 25.0, 15.0 ]
The function supports the following parameters:
- alpha: real-valued scalar constant.
- c: complex number.
Scales a single-precision complex floating-point number by a real-valued single-precision floating-point scalar constant and assigns results to a provided output array.
var Float32Array = require( '@stdlib/array-float32' );
var out = new Float32Array( 2 );
var v = scale.assign( 5.0, 5.0, 3.0, out, 1, 0 );
// returns <Float32Array>[ 25.0, 15.0 ]
var bool = ( out === v );
// returns true
The function supports the following parameters:
- alpha: real-valued scalar constant.
- re: real component of the complex number.
- im: imaginary component of the complex number.
- out: output array.
- strideOut: stride length for
out
. - offsetOut: starting index for
out
.
Scales a single-precision complex floating-point number stored in a real-valued strided array view by a real-valued single-precision floating-point scalar constant and assigns results to a provided strided output array.
var Float32Array = require( '@stdlib/array-float32' );
var c = new Float32Array( [ 5.0, 3.0 ] );
var out = new Float32Array( 2 );
var v = scale.strided( 5.0, c, 1, 0, out, 1, 0 );
// returns <Float32Array>[ 25.0, 15.0 ]
var bool = ( out === v );
// returns true
The function supports the following parameters:
- alpha: real-valued scalar constant.
- c: complex number strided array view.
- sc: stride length for
c
. - oc: starting index for
c
. - out: output array.
- so: stride length for
out
. - oo: starting index for
out
.
var Complex64Array = require( '@stdlib/array-complex64' );
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var scale = require( '@stdlib/complex-float32-base-scale' );
// Generate an array of random values:
var values = new Complex64Array( discreteUniform( 200, -50, 50 ) );
// Scale each by a scalar constant:
logEachMap( '%0.1f * (%s) = %s', 5.0, values, scale );
#include "stdlib/complex/float32/base/scale.h"
Scales a single-precision complex floating-point number by a real-valued single-precision floating-point scalar constant.
#include "stdlib/complex/float32/ctor.h"
#include "stdlib/complex/float32/real.h"
#include "stdlib/complex/float32/imag.h"
stdlib_complex64_t c = stdlib_complex64( 5.0f, 3.0f );
stdlib_complex64_t out = stdlib_base_complex64_scale( 5.0f, c );
float re = stdlib_complex64_real( out );
// returns 25.0f
float im = stdlib_complex64_imag( out );
// returns 15.0f
The function accepts the following arguments:
- alpha:
[in] float
scalar constant. - c:
[in] stdlib_complex64_t
complex number.
stdlib_complex64_t stdlib_base_complex64_scale( const float alpha, const stdlib_complex64_t c );
#include "stdlib/complex/float32/base/scale.h"
#include "stdlib/complex/float32/ctor.h"
#include "stdlib/complex/float32/reim.h"
#include <stdio.h>
int main( void ) {
const stdlib_complex64_t x[] = {
stdlib_complex64( 3.14f, 1.5f ),
stdlib_complex64( -3.14f, 1.5f ),
stdlib_complex64( 0.0f, -0.0f ),
stdlib_complex64( 0.0f/0.0f, 0.0f/0.0f )
};
stdlib_complex64_t v;
stdlib_complex64_t y;
float re;
float im;
int i;
for ( i = 0; i < 4; i++ ) {
v = x[ i ];
stdlib_complex64_reim( v, &re, &im );
printf( "c = %f + %fi\n", re, im );
y = stdlib_base_complex64_scale( 5.0f, v );
stdlib_complex64_reim( y, &re, &im );
printf( "scale(5.0, c) = %f + %fi\n", re, im );
}
}
This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
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