@stdlib/blas-sdot

Calculate the dot product of two single-precision floating-point vectors.

Science Score: 44.0%

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Keywords

algebra blas dot dot-product inner inner-product javascript level-1 linear math mathematics node node-js nodejs product scalar scalar-product sdot stdlib subroutines

Last synced: 4 months ago · JSON representation ·

Repository

Calculate the dot product of two single-precision floating-point vectors.

Basic Info

Host: GitHub
Owner: stdlib-js
License: apache-2.0
Language: JavaScript
Default Branch: main
Homepage: https://github.com/stdlib-js/stdlib
Size: 3.89 MB

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Stars: 2
Watchers: 3
Forks: 0
Open Issues: 0
Releases: 0

Topics

algebra blas dot dot-product inner inner-product javascript level-1 linear math mathematics node node-js nodejs product scalar scalar-product sdot stdlib subroutines

Created over 4 years ago · Last pushed 7 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation Security

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!

sdot

Calculate the dot product of two single-precision floating-point vectors.

The [dot product][dot-product] (or scalar product) is defined as ```math \mathbf{x}\cdot\mathbf{y} = \sum_{i=0}^{N-1} x_i y_i = x_0 y_0 + x_1 y_1 + \ldots + x_{N-1} y_{N-1} ```

## Installation ```bash npm install @stdlib/blas-sdot ``` 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 sdot = require( '@stdlib/blas-sdot' ); ``` #### sdot( x, y\[, dim] ) Calculates the dot product of two single-precision floating-point vectors `x` and `y`. ```javascript var Float32Array = require( '@stdlib/array-float32' ); var array = require( '@stdlib/ndarray-array' ); var x = array( new Float32Array( [ 4.0, 2.0, -3.0, 5.0, -1.0 ] ) ); var y = array( new Float32Array( [ 2.0, 6.0, -1.0, -4.0, 8.0 ] ) ); var z = sdot( x, y ); // returns var v = z.get(); // returns -5.0 ``` The function has the following parameters: - **x**: a non-zero-dimensional [`ndarray`][@stdlib/ndarray/ctor] whose underlying data type is `float32`. Must be [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with `y`. - **y**: a non-zero-dimensional [`ndarray`][@stdlib/ndarray/ctor] whose underlying data type is `float32`. Must be [broadcast-compatible][@stdlib/ndarray/base/broadcast-shapes] with `x`. - **dim**: dimension for which to compute the dot product. Must be a negative integer. Negative indices are resolved relative to the last array dimension, with the last dimension corresponding to `-1`. Default: `-1`. If provided at least one input [`ndarray`][@stdlib/ndarray/ctor] having more than one dimension, the input [`ndarrays`][@stdlib/ndarray/ctor] are [broadcasted][@stdlib/ndarray/base/broadcast-shapes] to a common shape. For multi-dimensional input [`ndarrays`][@stdlib/ndarray/ctor], the function performs batched computation, such that the function computes the dot product for each pair of vectors in `x` and `y` according to the specified dimension index. ```javascript var Float32Array = require( '@stdlib/array-float32' ); var array = require( '@stdlib/ndarray-array' ); var opts = { 'shape': [ 2, 3 ] }; var x = array( new Float32Array( [ 4.0, 2.0, -3.0, 5.0, -1.0, 3.0 ] ), opts ); var y = array( new Float32Array( [ 2.0, 6.0, -1.0, -4.0, 8.0, 2.0 ] ), opts ); var z = sdot( x, y ); // returns var v1 = z.get( 0 ); // returns 23.0 var v2 = z.get( 1 ); // returns -22.0 ```

## Notes - The size of the contracted dimension must be the same for both input [`ndarrays`][@stdlib/ndarray/ctor]. - The function resolves the dimension index for which to compute the dot product **before** broadcasting. - Negative indices are resolved relative to the last [`ndarray`][@stdlib/ndarray/ctor] dimension, with the last dimension corresponding to `-1`. - The output [`ndarray`][@stdlib/ndarray/ctor] has the same data type as the input [`ndarrays`][@stdlib/ndarray/ctor] and has a shape which is determined by broadcasting and excludes the contracted dimension. - If provided empty vectors, the dot product is `0`. - `sdot()` provides a higher-level interface to the [BLAS][blas] level 1 function [`sdot`][@stdlib/blas/base/sdot].

## Examples ```javascript var discreteUniform = require( '@stdlib/random-array-discrete-uniform' ); var ndarray2array = require( '@stdlib/ndarray-to-array' ); var array = require( '@stdlib/ndarray-array' ); var sdot = require( '@stdlib/blas-sdot' ); var opts = { 'dtype': 'float32' }; var x = array( discreteUniform( 10, 0, 100, opts ), { 'shape': [ 5, 2 ] }); console.log( ndarray2array( x ) ); var y = array( discreteUniform( 10, 0, 10, opts ), { 'shape': x.shape }); console.log( ndarray2array( y ) ); var z = sdot( x, y, -1 ); console.log( ndarray2array( z ) ); ```

* * * ## 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 © 2016-2025. The Stdlib [Authors][stdlib-authors].

Owner

Name: stdlib
Login: stdlib-js
Kind: organization

Website: https://stdlib.io
Twitter: stdlibjs
Repositories: 3,692
Profile: https://github.com/stdlib-js

Standard library for JavaScript.

Citation (CITATION.cff)

cff-version: 1.2.0
title: stdlib
message: >-
  If you use this software, please cite it using the
  metadata from this file.

type: software

authors:
  - name: The Stdlib Authors
    url: https://github.com/stdlib-js/stdlib/graphs/contributors

repository-code: https://github.com/stdlib-js/stdlib
url: https://stdlib.io

abstract: |
  Standard library for JavaScript and Node.js.

keywords:
  - JavaScript
  - Node.js
  - TypeScript
  - standard library
  - scientific computing
  - numerical computing
  - statistical computing

license: Apache-2.0 AND BSL-1.0

date-released: 2016

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Avg Commits per committer: 45.0
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Total versions: 10
Total maintainers: 4

npmjs.org: @stdlib/blas-sdot

Calculate the dot product of two single-precision floating-point vectors.

Homepage: https://stdlib.io
License: Apache-2.0
Latest release: 0.2.2
published over 1 year ago

Versions: 10
Dependent Packages: 1
Dependent Repositories: 0
Downloads: 13 Last month

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Downloads: 12.5%

Forks count: 17.4%

Stargazers count: 18.8%

Average: 21.4%

Dependent repos count: 25.3%

Dependent packages count: 32.9%

Maintainers (4)

planeshifter rreusser stdlib-bot kgryte

Funding

type: opencollective
url: https://opencollective.com/stdlib

Last synced: 5 months ago

Dependencies

package.json npm

@stdlib/array-float32 ^0.0.x development
@stdlib/array-float64 ^0.0.x development
@stdlib/bench ^0.0.x development
@stdlib/math-base-assert-is-nan ^0.0.x development
@stdlib/math-base-special-pow ^0.0.x development
@stdlib/ndarray-array ^0.0.x development
@stdlib/ndarray-ctor ^0.0.x development
@stdlib/random-base-discrete-uniform ^0.0.x development
@stdlib/random-base-randu ^0.0.x development
istanbul ^0.4.1 development
tap-spec 5.x.x development
tape git+https://github.com/kgryte/tape.git#fix/globby development
@stdlib/assert-is-float32vector-like ^0.0.x
@stdlib/blas-base-sdot ^0.0.x
@stdlib/string-format ^0.0.x
@stdlib/types ^0.0.x

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@stdlib/blas-sdot

Science Score: 44.0%

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sdot

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