About stdlib...
We believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.
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.
To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!
Replicate each element in a double-precision complex floating-point strided array a specified number of times.
npm install @stdlib/blas-ext-base-zreplicateAlternatively,
- To load the package in a website via a
scripttag without installation and bundlers, use the ES Module available on theesmbranch (see README). - If you are using Deno, visit the
denobranch (see README for usage intructions). - For use in Observable, or in browser/node environments, use the Universal Module Definition (UMD) build available on the
umdbranch (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 zreplicate = require( '@stdlib/blas-ext-base-zreplicate' );Replicates each element in a double-precision complex floating-point strided array a specified number of times.
var Complex128Array = require( '@stdlib/array-complex128' );
var x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0 ] );
var out = new Complex128Array( 4 );
zreplicate( x.length, 2, x, 1, out, 1 );
// out => <Complex128Array>[ 1.0, 2.0, 1.0, 2.0, 3.0, 4.0, 3.0, 4.0 ]The function has the following parameters:
- N: number of indexed elements.
- k: number of times to replicate each element.
- x: input
Complex128Array. - strideX: stride length for
x. - out: output
Complex128Array. - strideOut: stride length for
out.
The N and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to replicate every other element:
var Complex128Array = require( '@stdlib/array-complex128' );
var x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var out = new Complex128Array( 4 );
zreplicate( 2, 2, x, 2, out, 1 );
// out => <Complex128Array>[ 1.0, 2.0, 1.0, 2.0, 5.0, 6.0, 5.0, 6.0 ]Note that indexing is relative to the first index. To introduce an offset, use typed array views.
var Complex128Array = require( '@stdlib/array-complex128' );
// Initial arrays...
var x0 = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var out0 = new Complex128Array( 3 );
// Create offset views...
var x1 = new Complex128Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var out1 = new Complex128Array( out0.buffer, out0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
zreplicate( 1, 2, x1, 2, out1, 1 );
// out0 => <Complex128Array>[ 0.0, 0.0, 3.0, 4.0, 3.0, 4.0 ]Replicates each element in a double-precision complex floating-point strided array a specified number of times using alternative indexing semantics.
var Complex128Array = require( '@stdlib/array-complex128' );
var x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0 ] );
var out = new Complex128Array( 4 );
zreplicate.ndarray( x.length, 2, x, 1, 0, out, 1, 0 );
// out => <Complex128Array>[ 1.0, 2.0, 1.0, 2.0, 3.0, 4.0, 3.0, 4.0 ]The function has the following additional parameters:
- offsetX: starting index for
x. - offsetOut: starting index for
out.
While typed array views mandate a view offset based on the underlying buffer, offset parameters support indexing semantics based on starting indices. For example, to replicate every element starting from the second element and to store in the last N*k elements of the output array starting from the last element:
var Complex128Array = require( '@stdlib/array-complex128' );
var x = new Complex128Array( [ 1.0, 2.0, 3.0, 4.0 ] );
var out = new Complex128Array( 2 );
zreplicate.ndarray( 1, 2, x, 1, 1, out, 1, 0 );
// out => <Complex128Array>[ 3.0, 4.0, 3.0, 4.0 ]- If
N <= 0ork <= 0, both functions returnoutunchanged. - Both functions assume that the output array supports
N*kindexed elements.
var discreteUniform = require( '@stdlib/random-array-discrete-uniform' );
var Complex128Array = require( '@stdlib/array-complex128' );
var zreplicate = require( '@stdlib/blas-ext-base-zreplicate' );
var xbuf = discreteUniform( 10, -100, 100, {
'dtype': 'float64'
});
var x = new Complex128Array( xbuf.buffer );
console.log( x );
var out = new Complex128Array( x.length * 5 );
console.log( out );
zreplicate( x.length, 5, x, 1, out, 1 );
console.log( out );#include "stdlib/blas/ext/base/zreplicate.h"Replicates each element in a double-precision complex floating-point strided array a specified number of times.
#include "stdlib/complex/float64/ctor.h"
const double x[] = { 1.0, 2.0, 3.0, 4.0 };
double out[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
stdlib_strided_zreplicate( 2, 2, (stdlib_complex128_t *)x, 1, (stdlib_complex128_t *)out, 1 );The function accepts the following arguments:
- N:
[in] CBLAS_INTnumber of indexed elements. - k:
[in] CBLAS_INTnumber of times to replicate each element. - X:
[in] stdlib_complex128_t*input array. - strideX:
[in] CBLAS_INTstride length forX. - Out:
[out] stdlib_complex128_t*output array. - strideOut:
[in] CBLAS_INTstride length forOut.
void stdlib_strided_zreplicate( const CBLAS_INT N, const CBLAS_INT k, const stdlib_complex128_t *X, const CBLAS_INT strideX, stdlib_complex128_t *Out, const CBLAS_INT strideOut );Replicates each element in a double-precision complex floating-point strided array a specified number of times using alternative indexing semantics.
const double x[] = { 1.0, 2.0, 3.0, 4.0 };
double out[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
stdlib_strided_zreplicate_ndarray( 2, 2, (stdlib_complex128_t *)x, 1, 0, (stdlib_complex128_t *)out, 1, 0 );The function accepts the following arguments:
- N:
[in] CBLAS_INTnumber of indexed elements. - k:
[in] CBLAS_INTnumber of times to replicate each element. - X:
[in] stdlib_complex128_t*input array. - strideX:
[in] CBLAS_INTstride length forX. - offsetX:
[in] CBLAS_INTstarting index forX. - Out:
[out] stdlib_complex128_t*output array. - strideOut:
[in] CBLAS_INTstride length forOut. - offsetOut:
[in] CBLAS_INTstarting index forOut.
void stdlib_strided_zreplicate_ndarray( const CBLAS_INT N, const CBLAS_INT k, const stdlib_complex128_t *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, stdlib_complex128_t *Out, const CBLAS_INT strideOut, const CBLAS_INT offsetOut );#include "stdlib/blas/ext/base/zreplicate.h"
#include "stdlib/complex/float64/ctor.h"
#include <stdio.h>
int main( void ) {
// Create strided arrays:
const double x[] = { 1.0, 2.0, 3.0, 4.0 };
double out[] = { 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 };
// Specify the number of indexed elements:
const int N = 2;
// Specify the number of times to replicate each element:
const int k = 2;
// Specify strides:
const int strideX = 1;
const int strideOut = 1;
// Replicate each element:
stdlib_strided_zreplicate( N, k, (stdlib_complex128_t *)x, strideX, (stdlib_complex128_t *)out, strideOut );
// Print the results:
for ( int i = 0; i < 8; i++ ) {
printf( "out[ %i ] = %lf\n", i, out[ i ] );
}
}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 © 2016-2026. The Stdlib Authors.