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Copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.

Home Page: https://github.com/stdlib-js/stdlib

License: Apache License 2.0

Makefile 21.62% JavaScript 48.69% C 12.49% Fortran 7.52% Python 9.68%
nodejs javascript stdlib node node-js mathematics math blas level-1 linear

blas-base-ccopy's Introduction

About stdlib...

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When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.

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ccopy

NPM version Build Status Coverage Status

Copy values from one complex single-precision floating-point vector to another complex single-precision floating-point vector.

Installation

npm install @stdlib/blas-base-ccopy

Alternatively,

  • To load the package in a website via a script tag without installation and bundlers, use the ES Module available on the esm 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.

Usage

var ccopy = require( '@stdlib/blas-base-ccopy' );

ccopy( N, x, strideX, y, strideY )

Copies values from x into y.

var Complex64Array = require( '@stdlib/array-complex64' );
var realf = require( '@stdlib/complex-realf' );
var imagf = require( '@stdlib/complex-imagf' );

var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var y = new Complex64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

ccopy( x.length, x, 1, y, 1 );

var z = y.get( 0 );
// returns <Complex64>

var re = realf( z );
// returns 1.0

var im = imagf( z );
// returns 2.0

The function has the following parameters:

  • N: number of indexed elements.
  • x: input Complex64Array.
  • strideX: index increment for x.
  • y: destination Complex64Array.
  • strideY: index increment for y.

The N and stride parameters determine how values from x are copied into y. For example, to copy in reverse order every other value in x into the first N elements of y,

var Complex64Array = require( '@stdlib/array-complex64' );
var realf = require( '@stdlib/complex-realf' );
var imagf = require( '@stdlib/complex-imagf' );

var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
var y = new Complex64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

ccopy( 2, x, -2, y, 1 );

var z = y.get( 0 );
// returns <Complex64>

var re = realf( z );
// returns 5.0

var im = imagf( z );
// returns 6.0

Note that indexing is relative to the first index. To introduce an offset, use typed array views.

var Complex64Array = require( '@stdlib/array-complex64' );
var realf = require( '@stdlib/complex-realf' );
var imagf = require( '@stdlib/complex-imagf' );

// Initial arrays...
var x0 = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
var y0 = new Complex64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

// Create offset views...
var x1 = new Complex64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var y1 = new Complex64Array( y0.buffer, y0.BYTES_PER_ELEMENT*2 ); // start at 3rd element

// Copy in reverse order every other value from `x1` into `y1`...
ccopy( 2, x1, -2, y1, 1 );

var z = y0.get( 2 );
// returns <Complex64>

var re = realf( z );
// returns 7.0

var im = imagf( z );
// returns 8.0

ccopy.ndarray( N, x, strideX, offsetX, y, strideY, offsetY )

Copies values from x into y using alternative indexing semantics.

var Complex64Array = require( '@stdlib/array-complex64' );
var realf = require( '@stdlib/complex-realf' );
var imagf = require( '@stdlib/complex-imagf' );

var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var y = new Complex64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

ccopy.ndarray( x.length, x, 1, 0, y, 1, 0 );

var z = y.get( 0 );
// returns <Complex64>

var re = realf( z );
// returns 1.0

var im = imagf( z );
// returns 2.0

The function has the following additional parameters:

  • offsetX: starting index for x.
  • offsetY: starting index for y.

While typed array views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on starting indices. For example, to copy every other value in x starting from the second value into the last N elements in y where x[i] = y[n], x[i+2] = y[n-1],...,

var Complex64Array = require( '@stdlib/array-complex64' );
var realf = require( '@stdlib/complex-realf' );
var imagf = require( '@stdlib/complex-imagf' );

var x = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );
var y = new Complex64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

ccopy.ndarray( 2, x, 2, 1, y, -1, y.length-1 );

var z = y.get( y.length-1 );
// returns <Complex64>

var re = realf( z );
// returns 3.0

var im = imagf( z );
// returns 4.0

Notes

  • If N <= 0, both functions return y unchanged.
  • ccopy() corresponds to the BLAS level 1 function ccopy.

Examples

var discreteUniform = require( '@stdlib/random-base-discrete-uniform' );
var filledarrayBy = require( '@stdlib/array-filled-by' );
var Complex64 = require( '@stdlib/complex-float32' );
var ccopy = require( '@stdlib/blas-base-ccopy' );

function rand() {
    return new Complex64( discreteUniform( 0, 10 ), discreteUniform( -5, 5 ) );
}

var x = filledarrayBy( 10, 'complex64', rand );
console.log( x.get( 0 ).toString() );

var y = filledarrayBy( 10, 'complex64', rand );
console.log( y.get( 0 ).toString() );

// Copy elements from `x` into `y` starting from the end of `y`:
ccopy( x.length, x, 1, y, -1 );
console.log( y.get( y.length-1 ).toString() );

See Also


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.

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License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.

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