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!

dfill

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]

> Fill a double-precision floating-point strided array with a specified scalar constant.

Installation

``bash npm install @stdlib/blas-ext-base-dfill`

`Usage`

`javascript var dfill = require( '@stdlib/blas-ext-base-dfill' );`

#### dfill( N, alpha, x, strideX )

Fills a double-precision floating-point strided array with a specified scalar constant.

`javascript var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );

dfill( x.length, 5.0, x, 1 ); // x => [ 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0 ]`

The function has the following parameters:

- N: number of indexed elements. - alpha: scalar constant. - x: input [Float64Array][@stdlib/array/float64]. - strideX: stride length.

The N and stride parameters determine which elements in the strided array are accessed at runtime. For example, to fill every other element:

`javascript var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );

dfill( 4, 5.0, x, 2 ); // x => [ 5.0, 1.0, 5.0, -5.0, 5.0, 0.0, 5.0, -3.0 ]`

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

`javascript var Float64Array = require( '@stdlib/array-float64' );

// Initial array... var x0 = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );

// Create an offset view... var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

// Fill every other element... dfill( 3, 5.0, x1, 2 ); // x0 => [ 1.0, 5.0, 3.0, 5.0, 5.0, 5.0 ]`

#### dfill.ndarray( N, alpha, x, strideX, offsetX )

Fills a double-precision floating-point strided array with a specified scalar constant using alternative indexing semantics.

`javascript var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );

dfill.ndarray( x.length, 5.0, x, 1, 0 ); // x => [ 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0 ]`

The function has the following additional parameters:

- offsetX: starting index.

While [typed array][mdn-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 access only the last three elements:

`javascript var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );

dfill.ndarray( 3, 5.0, x, 1, x.length-3 ); // x => [ 1.0, -2.0, 3.0, 5.0, 5.0, 5.0 ]`

`Notes`

- If N <= 0, both functions return x unchanged.

`Examples`

`javascript var discreteUniform = require( '@stdlib/random-array-discrete-uniform' ); var dfill = require( '@stdlib/blas-ext-base-dfill' );

var x = discreteUniform( 10, -100, 100, { 'dtype': 'float64' }); console.log( x );

dfill( x.length, 5.0, x, 1 ); console.log( x );`

*

`C APIs`

`$3`

`c #include "stdlib/blas/ext/base/dfill.h"`

#### stdlib_strided_dfill( N, alpha, \*X, strideX )

Fills a double-precision floating-point strided array with a specified scalar constant.

`c double x[] = { 1.0, 2.0, 3.0, 4.0 };

stdlib_strided_dfill( 4, 5.0, x, 1 );`

The function accepts the following arguments:

- N: [in] CBLAS_INTnumber of indexed elements. - alpha:[in] doublescalar constant. - X:[out] double*input array. - strideX:[in] CBLAS_INT stride length.

`c void stdlib_strided_dfill( const CBLAS_INT N, const double alpha, double *X, const CBLAS_INT strideX );`

#### stdlib_strided_dfill_ndarray( N, alpha, \*X, strideX, offsetX )

Fills a double-precision floating-point strided array with a specified scalar constant using alternative indexing semantics.

`c double x[] = { 1.0, 2.0, 3.0, 4.0 };

stdlib_strided_dfill_ndarray( 4, 5.0, x, 1, 0 );`

The function accepts the following arguments:

- N: [in] CBLAS_INTnumber of indexed elements. - alpha:[in] doublescalar constant. - X:[out] double*input array. - strideX:[in] CBLAS_INTstride length. - offsetX:[in] CBLAS_INT starting index.

`c void stdlib_strided_dfill_ndarray( const CBLAS_INT N, const double alpha, double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );`

`$3`

`c #include "stdlib/blas/ext/base/dfill.h" #include

int main( void ) { // Create a strided array: double x[] = { 1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0 };

// Specify the number of indexed elements: const int N = 8;

// Specify a stride: const int strideX = 1;

// Fill the array: stdlib_strided_dfill( N, 5.0, x, strideX );

// Print the result: for ( int i = 0; i < 8; i++ ) { printf( "x[ %i ] = %lf\n", i, x[ i ] ); } }`

*

`Notice`

This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].

#### Community

[![Chat][chat-image]][chat-url]

---

`License`

See [LICENSE][stdlib-license].

`Copyright`

[npm-image]: http://img.shields.io/npm/v/@stdlib/blas-ext-base-dfill.svg [npm-url]: https://npmjs.org/package/@stdlib/blas-ext-base-dfill

[test-image]: https://github.com/stdlib-js/blas-ext-base-dfill/actions/workflows/test.yml/badge.svg?branch=v0.3.1 [test-url]: https://github.com/stdlib-js/blas-ext-base-dfill/actions/workflows/test.yml?query=branch:v0.3.1

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/blas-ext-base-dfill/main.svg [coverage-url]: https://codecov.io/github/stdlib-js/blas-ext-base-dfill?branch=main

[chat-image]: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg [chat-url]: https://stdlib.zulipchat.com

[stdlib]: https://github.com/stdlib-js/stdlib

[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors

[umd]: https://github.com/umdjs/umd [es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules

[deno-url]: https://github.com/stdlib-js/blas-ext-base-dfill/tree/deno [deno-readme]: https://github.com/stdlib-js/blas-ext-base-dfill/blob/deno/README.md [umd-url]: https://github.com/stdlib-js/blas-ext-base-dfill/tree/umd [umd-readme]: https://github.com/stdlib-js/blas-ext-base-dfill/blob/umd/README.md [esm-url]: https://github.com/stdlib-js/blas-ext-base-dfill/tree/esm [esm-readme]: https://github.com/stdlib-js/blas-ext-base-dfill/blob/esm/README.md [branches-url]: https://github.com/stdlib-js/blas-ext-base-dfill/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/blas-ext-base-dfill/main/LICENSE

[@stdlib/array/float64]: https://www.npmjs.com/package/@stdlib/array-float64

[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray

[@stdlib/blas/ext/base/gfill]: https://www.npmjs.com/package/@stdlib/blas-ext-base-gfill

[@stdlib/blas/ext/base/sfill]: https://www.npmjs.com/package/@stdlib/blas-ext-base-sfill


  
    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!

`dfill`

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]

> Fill a double-precision floating-point strided array with a specified scalar constant.

`Installation`

``bash npm install @stdlib/blas-ext-base-dfill `

`Usage`

`javascript var dfill = require( '@stdlib/blas-ext-base-dfill' ); `

#### dfill( N, alpha, x, strideX )

Fills a double-precision floating-point strided array with a specified scalar constant.

`javascript var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );

dfill( x.length, 5.0, x, 1 ); // x => [ 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0 ] `

The function has the following parameters:

- N: number of indexed elements. - alpha: scalar constant. - x: input [Float64Array][@stdlib/array/float64]. - strideX: stride length.

The N and stride parameters determine which elements in the strided array are accessed at runtime. For example, to fill every other element:

`javascript var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );

dfill( 4, 5.0, x, 2 ); // x => [ 5.0, 1.0, 5.0, -5.0, 5.0, 0.0, 5.0, -3.0 ] `

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

`javascript var Float64Array = require( '@stdlib/array-float64' );

// Initial array... var x0 = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );

// Create an offset view... var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element

// Fill every other element... dfill( 3, 5.0, x1, 2 ); // x0 => [ 1.0, 5.0, 3.0, 5.0, 5.0, 5.0 ] `

#### dfill.ndarray( N, alpha, x, strideX, offsetX )

Fills a double-precision floating-point strided array with a specified scalar constant using alternative indexing semantics.

`javascript var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ -2.0, 1.0, 3.0, -5.0, 4.0, 0.0, -1.0, -3.0 ] );

dfill.ndarray( x.length, 5.0, x, 1, 0 ); // x => [ 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0, 5.0 ] `

The function has the following additional parameters:

- offsetX: starting index.

While [typed array][mdn-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 access only the last three elements:

`javascript var Float64Array = require( '@stdlib/array-float64' );

var x = new Float64Array( [ 1.0, -2.0, 3.0, -4.0, 5.0, -6.0 ] );

dfill.ndarray( 3, 5.0, x, 1, x.length-3 ); // x => [ 1.0, -2.0, 3.0, 5.0, 5.0, 5.0 ] `

`Notes`

- If N <= 0, both functions return x unchanged.

`Examples`

`javascript var discreteUniform = require( '@stdlib/random-array-discrete-uniform' ); var dfill = require( '@stdlib/blas-ext-base-dfill' );

var x = discreteUniform( 10, -100, 100, { 'dtype': 'float64' }); console.log( x );

dfill( x.length, 5.0, x, 1 ); console.log( x ); `

*

`C APIs`

`$3`

`c #include "stdlib/blas/ext/base/dfill.h" `

#### stdlib_strided_dfill( N, alpha, \*X, strideX )

Fills a double-precision floating-point strided array with a specified scalar constant.

`c double x[] = { 1.0, 2.0, 3.0, 4.0 };

stdlib_strided_dfill( 4, 5.0, x, 1 ); `

The function accepts the following arguments:

- N: [in] CBLAS_INT number of indexed elements. - alpha: [in] double scalar constant. - X: [out] double* input array. - strideX: [in] CBLAS_INT stride length.

`c void stdlib_strided_dfill( const CBLAS_INT N, const double alpha, double *X, const CBLAS_INT strideX ); `

#### stdlib_strided_dfill_ndarray( N, alpha, \*X, strideX, offsetX )

Fills a double-precision floating-point strided array with a specified scalar constant using alternative indexing semantics.

`c double x[] = { 1.0, 2.0, 3.0, 4.0 };

stdlib_strided_dfill_ndarray( 4, 5.0, x, 1, 0 ); `

The function accepts the following arguments:

- N: [in] CBLAS_INT number of indexed elements. - alpha: [in] double scalar constant. - X: [out] double* input array. - strideX: [in] CBLAS_INT stride length. - offsetX: [in] CBLAS_INT starting index.

`c void stdlib_strided_dfill_ndarray( const CBLAS_INT N, const double alpha, double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ); `

`$3`

`c #include "stdlib/blas/ext/base/dfill.h" #include

int main( void ) { // Create a strided array: double x[] = { 1.0, -2.0, 3.0, -4.0, 5.0, -6.0, 7.0, -8.0 };

// Specify the number of indexed elements: const int N = 8;

// Specify a stride: const int strideX = 1;

// Fill the array: stdlib_strided_dfill( N, 5.0, x, strideX );

// Print the result: for ( int i = 0; i < 8; i++ ) { printf( "x[ %i ] = %lf\n", i, x[ i ] ); } } `

*

`Notice`

For more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].

#### Community

[![Chat][chat-image]][chat-url]

---

`License`

See [LICENSE][stdlib-license].

`Copyright`

[npm-image]: http://img.shields.io/npm/v/@stdlib/blas-ext-base-dfill.svg [npm-url]: https://npmjs.org/package/@stdlib/blas-ext-base-dfill

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/blas-ext-base-dfill/main.svg [coverage-url]: https://codecov.io/github/stdlib-js/blas-ext-base-dfill?branch=main

[chat-image]: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg [chat-url]: https://stdlib.zulipchat.com

[stdlib]: https://github.com/stdlib-js/stdlib

[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors

[umd]: https://github.com/umdjs/umd [es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/blas-ext-base-dfill/main/LICENSE

[@stdlib/array/float64]: https://www.npmjs.com/package/@stdlib/array-float64

[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray

[@stdlib/blas/ext/base/gfill]: https://www.npmjs.com/package/@stdlib/blas-ext-base-gfill

[@stdlib/blas/ext/base/sfill]: https://www.npmjs.com/package/@stdlib/blas-ext-base-sfill

@stdlib/blas-ext-base-dfill

dfill

Installation

Usage

Notes

Examples

C APIs

$3

$3

See Also

Notice

License

Copyright

@stdlib/blas-ext-base-dfill

dfill

Installation

Usage

Notes

Examples

C APIs

$3

$3

See Also

Notice

License

Copyright

`Usage`

`Notes`

`Examples`

`C APIs`

`$3`

`$3`

`See Also`

`Notice`

`License`

`Copyright`

`@stdlib/blas-ext-base-dfill`

`dfill`

`Installation`

`Usage`

`Notes`

`Examples`

`C APIs`

`$3`

`$3`

`See Also`

`Notice`

`License`

`Copyright`