reinterpret

Reinterpret a Complex128Array as a Float64Array.

Installation

npm install @stdlib/strided-base-reinterpret-complex128

Usage

var reinterpret = require( '@stdlib/strided-base-reinterpret-complex128' );

reinterpret( x, offset )

Returns a Float64Array view of a Complex128Array.

var Complex128Array = require( '@stdlib/array-complex128' );

var x = new Complex128Array( 10 );

var view = reinterpret( x, 0 );
// returns <Float64Array>

var bool = ( view.buffer === x.buffer );
// returns true

var len = view.length;
// returns 20

The offset argument specifies the starting index of the returned Float64Array view relative to the Complex128Array.

var Complex128Array = require( '@stdlib/array-complex128' );

var x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );

var view = reinterpret( x, 2 );
// returns <Float64Array>

var len = view.length;
// returns 4

var re = view[ 0 ];
// returns 5.0

var im = view[ 1 ];
// returns 6.0

Examples

var Complex128Array = require( '@stdlib/array-complex128' );
var real = require( '@stdlib/complex-float64-real' );
var imag = require( '@stdlib/complex-float64-imag' );
var reinterpret = require( '@stdlib/strided-base-reinterpret-complex128' );

// Define a complex number array:
var x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
// returns <Complex128Array>

// Reinterpret as a `float64` array:
var view = reinterpret( x, 0 );
// returns <Float64Array>

// Set view elements:
view[ 0 ] = 9.0;
view[ 1 ] = 10.0;

// Get the first element of the complex number array:
var z = x.get( 0 );
// returns <Complex128>

var re = real( z );
// returns 9.0

var im = imag( z );
// returns 10.0

See Also

• @stdlib/strided-base/reinterpret-complex: reinterpret a complex-valued floating-point array as a real-valued floating-point array having the same precision.
• @stdlib/strided-base/reinterpret-complex64: reinterpret a Complex64Array as a Float32Array.

Notice

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.

Community

License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.