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Create a complex number typed array.
npm install @stdlib/array-typed-complex
Alternatively,
- To load the package in a website via a
script
tag without installation and bundlers, use the ES Module available on theesm
branch (see README). - If you are using Deno, visit the
deno
branch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umd
branch (see README).
The branches.md file summarizes the available branches and displays a diagram illustrating their relationships.
To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
var complexarray = require( '@stdlib/array-typed-complex' );
Creates a complex number typed array having a specified data type dtype
.
var arr = complexarray();
// returns <Complex128Array>
The function recognizes the following data types:
complex128
: double-precision complex floating-point numberscomplex64
: single-precision complex floating-point numbers
By default, the output complex number typed array data type is complex128
. To specify an alternative data type, provide a dtype
argument.
var arr = complexarray( 'complex64' );
// returns <Complex64Array>
Returns a complex number typed array having a specified length
.
var arr1 = complexarray( 5 );
// returns <Complex128Array>
var arr2 = complexarray( 5, 'complex64' );
// returns <Complex64Array>
Creates a complex number typed array from another complex number typed array.
var arr1 = complexarray( [ 5.0, -3.0, 2.0, 1.0 ] );
// returns <Complex128Array>
var arr2 = complexarray( arr1 );
// returns <Complex128Array>
var arr3 = complexarray( arr1, 'complex64' );
// returns <Complex64Array>
Creates a complex number typed array from an array-like object or iterable.
var arr1 = complexarray( [ 0.5, 0.5, 0.5, 0.5 ] );
// returns <Complex128Array>
var arr2 = complexarray( [ 0.5, 0.5, 0.5, 0.5 ], 'complex64' );
// returns <Complex64Array>
If a provided array-like object contains interleaved real and imaginary components, the array-like object must have a length which is a multiple of two.
Returns a complex number typed array view of an ArrayBuffer
.
var ArrayBuffer = require( '@stdlib/array-buffer' );
var buf = new ArrayBuffer( 64 );
var arr1 = complexarray( buf );
// returns <Complex128Array>
var arr2 = complexarray( buf, 'complex64' );
// returns <Complex64Array>
var arr3 = complexarray( buf, 32 );
// returns <Complex128Array>
var arr4 = complexarray( buf, 32, 'complex64' );
// returns <Complex64Array>
var arr5 = complexarray( buf, 32, 1 );
// returns <Complex128Array>
var arr6 = complexarray( buf, 24, 4, 'complex64' );
// returns <Complex64Array>
var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var gfillBy = require( '@stdlib/blas-ext-base-gfill-by' );
var Complex128 = require( '@stdlib/complex-float64-ctor' );
var reinterpret128 = require( '@stdlib/strided-base-reinterpret-complex128' );
var complexarray = require( '@stdlib/array-typed-complex' );
function rand() {
var re = discreteUniform( -10, 10 );
var im = discreteUniform( -10, 10 );
return new Complex128( re, im );
}
// Create a new complex number typed array:
var arr = complexarray( 100, 'complex128' );
// Fill the array with random complex numbers:
gfillBy( arr.length, arr, 1, rand );
// Reinterpret the complex number array as a `Float64Array`:
var view = reinterpret128( arr, 0 );
// View the results:
console.log( view );
@stdlib/array-typed
: create a typed array.@stdlib/array-typed-real
: create a typed array.
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.
Copyright © 2016-2024. The Stdlib Authors.