Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/stdlib-js/math-strided-ops-add-by

Element-wise addition of two strided arrays via a callback function.
https://github.com/stdlib-js/math-strided-ops-add-by

accessor add addition arithmetic array element-wise javascript map math mathematics ndarray node node-js nodejs stdlib strided sum summation transform vector

Last synced: 2 months ago
JSON representation

Element-wise addition of two strided arrays via a callback function.

Awesome Lists containing this project

README

        


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!

# addBy

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

> Element-wise [addition][@stdlib/math/base/ops/add] of two strided arrays via a callback function.

## Installation

```bash
npm install @stdlib/math-strided-ops-add-by
```

Alternatively,

- To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]).
- If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions).
- For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]).

The [branches.md][branches-url] 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

```javascript
var addBy = require( '@stdlib/math-strided-ops-add-by' );
```

#### addBy( N, x, strideX, y, strideY, z, strideZ, clbk\[, thisArg] )

Performs element-wise [addition][@stdlib/math/base/ops/add] of two strided arrays via a callback function and assigns each result to an element in an output strided array.

```javascript
function accessor( values ) {
return values;
}

var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
var y = [ 11.0, 12.0, 13.0, 14.0, 15.0 ];
var z = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];

addBy( x.length, x, 1, y, 1, z, 1, accessor );
// z => [ 12.0, 14.0, 16.0, 18.0, 20.0 ]
```

The function accepts the following arguments:

- **N**: number of indexed elements.
- **x**: input [`Array`][mdn-array], [`typed array`][mdn-typed-array], or an array-like object (excluding strings and functions).
- **strideX**: index increment for `x`.
- **y**: input [`Array`][mdn-array], [`typed array`][mdn-typed-array], or an array-like object (excluding strings and functions).
- **strideY**: index increment for `y`.
- **z**: output [`Array`][mdn-array], [`typed array`][mdn-typed-array], or an array-like object (excluding strings and functions).
- **strideZ**: index increment for `z`.
- **clbk**: callback function.
- **thisArg**: execution context (_optional_).

The invoked callback function is provided four arguments:

- **values**: input array element values `[vx, vy]`.
- **idx**: iteration index (zero-based).
- **indices**: input and output array strided indices `[ix, iy, iz]` (computed according to `offset + idx*stride`).
- **arrays**: input and output arrays/collections `[x, y, z]`.

To set the callback execution context, provide a `thisArg`.

```javascript
function accessor( values ) {
this.count += 1;
return values;
}

var context = {
'count': 0
};

var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
var y = [ 11.0, 12.0, 13.0, 14.0, 15.0 ];
var z = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];

addBy( x.length, x, 1, y, 1, z, 1, accessor, context );
// z => [ 12.0, 14.0, 16.0, 18.0, 20.0 ]

var cnt = context.count;
// returns 5
```

The `N` and `stride` parameters determine which elements in the strided arrays are accessed at runtime. For example, to index every other value in `x` and to index the first `N` elements of `y` in reverse order,

```javascript
function accessor( values ) {
return values;
}

var x = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
var y = [ 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ];
var z = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];

addBy( 3, x, 2, y, -1, z, 1, accessor );
// z => [ 14.0, 15.0, 16.0, 0.0, 0.0, 0.0 ]
```

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' );

function accessor( values ) {
return values;
}

// Initial arrays...
var x0 = new Float64Array( [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ] );
var y0 = new Float64Array( [ 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ] );
var z0 = new Float64Array( [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ] );

// Create offset views...
var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
var y1 = new Float64Array( y0.buffer, y0.BYTES_PER_ELEMENT*3 ); // start at 4th element
var z1 = new Float64Array( z0.buffer, z0.BYTES_PER_ELEMENT*3 ); // start at 4th element

addBy( 3, x1, -2, y1, 1, z1, 1, accessor );
// z0 => [ 0.0, 0.0, 0.0, 20.0, 19.0, 18.0 ]
```

#### addBy.ndarray( N, x, strideX, offsetX, y, strideY, offsetY, z, strideZ, offsetZ, clbk\[, thisArg] )

Performs element-wise [addition][@stdlib/math/base/ops/add] of two strided arrays via a callback function and assigns each result to an element in an output strided array using alternative indexing semantics.

```javascript
function accessor( values ) {
return values;
}

var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
var y = [ 11.0, 12.0, 13.0, 14.0, 15.0 ];
var z = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];

addBy.ndarray( x.length, x, 1, 0, y, 1, 0, z, 1, 0, accessor );
// z => [ 12.0, 14.0, 16.0, 18.0, 20.0 ]
```

The function accepts the following [addition][@stdlib/math/base/ops/add]al arguments:

- **offsetX**: starting index for `x`.
- **offsetY**: starting index for `y`.
- **offsetZ**: starting index for `z`.

While [`typed array`][mdn-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 index every other value in `x` starting from the second value and to index the last `N` elements in `y`,

```javascript
function accessor( values ) {
return values;
}

var x = [ 1.0, 2.0, 3.0, 4.0, 5.0, 6.0 ];
var y = [ 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 ];
var z = [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ];

addBy.ndarray( 3, x, 2, 1, y, -1, y.length-1, z, 1, 2, accessor );
// z => [ 0.0, 0.0, 0.0, 20.0, 19.0, 18.0 ]
```

## Notes

- If a provided callback function does not return any value (or equivalently, explicitly returns `undefined`), the value is **ignored**.

```javascript
function accessor() {
// No-op...
}

var x = [ 1.0, 2.0, 3.0, 4.0, 5.0 ];
var y = [ 11.0, 12.0, 13.0, 14.0, 15.0 ];
var z = [ 0.0, 0.0, 0.0, 0.0, 0.0 ];

addBy( x.length, x, 1, y, 1, z, 1, accessor );
// z => [ 0.0, 0.0, 0.0, 0.0, 0.0 ]
```

## Examples

```javascript
var uniform = require( '@stdlib/random-base-uniform' ).factory;
var filledarray = require( '@stdlib/array-filled' );
var filledarrayBy = require( '@stdlib/array-filled-by' );
var addBy = require( '@stdlib/math-strided-ops-add-by' );

function accessor( values, i ) {
if ( (i%3) === 0 ) {
// Simulate a "missing" value...
return;
}
return values;
}

var x = filledarrayBy( 10, 'generic', uniform( -10.0, 10.0 ) );
console.log( x );

var y = filledarrayBy( x.length, 'generic', uniform( -10.0, 10.0 ) );
console.log( y );

var z = filledarray( null, x.length, 'generic' );
console.log( z );

addBy.ndarray( x.length, x, 1, 0, y, -1, y.length-1, z, 1, 0, accessor );
console.log( z );
```

* * *

## See Also

- [`@stdlib/math-strided/ops/add`][@stdlib/math/strided/ops/add]: element-wise addition of two strided arrays.
- [`@stdlib/math-strided/ops/mul-by`][@stdlib/math/strided/ops/mul-by]: element-wise multiplication of two strided arrays via a callback function.
- [`@stdlib/math-strided/ops/sub-by`][@stdlib/math/strided/ops/sub-by]: element-wise subtraction of two strided arrays via a callback function.

* * *

## 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

Copyright © 2016-2024. The Stdlib [Authors][stdlib-authors].

[npm-image]: http://img.shields.io/npm/v/@stdlib/math-strided-ops-add-by.svg
[npm-url]: https://npmjs.org/package/@stdlib/math-strided-ops-add-by

[test-image]: https://github.com/stdlib-js/math-strided-ops-add-by/actions/workflows/test.yml/badge.svg?branch=main
[test-url]: https://github.com/stdlib-js/math-strided-ops-add-by/actions/workflows/test.yml?query=branch:main

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/math-strided-ops-add-by/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/math-strided-ops-add-by?branch=main

[chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg
[chat-url]: https://app.gitter.im/#/room/#stdlib-js_stdlib:gitter.im

[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/math-strided-ops-add-by/tree/deno
[deno-readme]: https://github.com/stdlib-js/math-strided-ops-add-by/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/math-strided-ops-add-by/tree/umd
[umd-readme]: https://github.com/stdlib-js/math-strided-ops-add-by/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/math-strided-ops-add-by/tree/esm
[esm-readme]: https://github.com/stdlib-js/math-strided-ops-add-by/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/math-strided-ops-add-by/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/math-strided-ops-add-by/main/LICENSE

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

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

[@stdlib/math/base/ops/add]: https://github.com/stdlib-js/math-base-ops-add

[@stdlib/math/strided/ops/add]: https://github.com/stdlib-js/math-strided-ops-add

[@stdlib/math/strided/ops/mul-by]: https://github.com/stdlib-js/math-strided-ops-mul-by

[@stdlib/math/strided/ops/sub-by]: https://github.com/stdlib-js/math-strided-ops-sub-by