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clacgv

Conjugate each element in a single-precision complex floating-point vector.

Installation

npm install @stdlib/lapack-base-clacgv

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 clacgv = require( '@stdlib/lapack-base-clacgv' );

clacgv( N, cx, strideCX )

Conjugates each element in a single-precision complex floating-point vector.

var Complex64Array = require( '@stdlib/array-complex64' );
var realf = require( '@stdlib/complex-float32-real' );
var imagf = require( '@stdlib/complex-float32-imag' );

var cx = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0 ] );

clacgv( 2, cx, 1 );

var z = cx.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.
• cx: input Complex64Array.
• strideCX: stride length for cx.

The N and stride parameters determine which elements in cx are conjugated. For example, to conjugate every other element in cx,

var Complex64Array = require( '@stdlib/array-complex64' );
var realf = require( '@stdlib/complex-float32-real' );
var imagf = require( '@stdlib/complex-float32-imag' );

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

clacgv( 2, cx, 2 );

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

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

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

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

var Complex64Array = require( '@stdlib/array-complex64' );
var Complex64 = require( '@stdlib/complex-float32-ctor' );
var realf = require( '@stdlib/complex-float32-real' );
var imagf = require( '@stdlib/complex-float32-imag' );

// Initial array:
var cx0 = new Complex64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 ] );

// Create an offset view:
var cx1 = new Complex64Array( cx0.buffer, cx0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

// Conjugate every element in `cx1`:
clacgv( 3, cx1, 1 );

var z = cx0.get( 1 );
// returns <Complex64>

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

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

clacgv.ndarray( N, cx, strideCX, offsetCX )

Conjugates each element in a single-precision floating-point vector using alternative indexing semantics.

var Complex64Array = require( '@stdlib/array-complex64' );
var realf = require( '@stdlib/complex-float32-real' );
var imagf = require( '@stdlib/complex-float32-imag' );

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

clacgv.ndarray( 3, cx, 1, 0 );

var z = cx.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:

• offsetCX: starting index for cx.

While typed array views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to conjugate every other element in the input strided array starting from the second element,

var Complex64Array = require( '@stdlib/array-complex64' );
var realf = require( '@stdlib/complex-float32-real' );
var imagf = require( '@stdlib/complex-float32-imag' );

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

clacgv.ndarray( 2, cx, 2, 1 );

var z = cx.get( 3 );
// returns <Complex64>

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

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

Notes

• If N <= 0, both functions return cx unchanged.
• clacgv() corresponds to the LAPACK BLAS-like level 1 routine clacgv.

Examples

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

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

var cx = filledarrayBy( 10, 'complex64', rand );
console.log( cx.toString() );

// Conjugate elements:
clacgv( cx.length, cx, 1 );
console.log( cx.get( cx.length-1 ).toString() );

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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

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