https://github.com/pablim653/ndarray-base-unary-reduce-subarray

Perform a reduction over a list of specified dimensions in an input ndarray and assign results to a provided output ndarray.
https://github.com/pablim653/ndarray-base-unary-reduce-subarray

accumulate accumulation array base javascript ndarray nodejs reduce reduction stdlib strided subarray unary

Last synced: about 1 month ago
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Perform a reduction over a list of specified dimensions in an input ndarray and assign results to a provided output ndarray.

• Host: GitHub
• URL: https://github.com/pablim653/ndarray-base-unary-reduce-subarray
• Owner: pablim653
• License: apache-2.0
• Created: 2025-03-30T13:39:32.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2025-03-30T14:44:45.000Z (6 months ago)
• Last Synced: 2025-03-30T15:23:18.533Z (6 months ago)
• Topics: accumulate, accumulation, array, base, javascript, ndarray, nodejs, reduce, reduction, stdlib, strided, subarray, unary
• Language: JavaScript
• Size: 81.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Citation: CITATION.cff
  • Security: SECURITY.md

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README

          
# ndarray Base Unary Reduce Subarray 🚀

Perform a reduction over a list of specified dimensions in an input ndarray and assign results to a provided output ndarray.

## Overview ℹ️

Welcome to the `ndarray-base-unary-reduce-subarray` repository! This library allows you to efficiently reduce arrays in JavaScript using unary operations on subarrays. Whether you are working with node.js, browser-based applications, or any other JavaScript environment, this library is designed to simplify your data manipulation tasks.

## Functionality 🛠️

With this library, you can perform reductions on multidimensional arrays, specifying the dimensions to reduce over, and store the results in output arrays. This enables you to perform operations like summing elements in a specific subarray or finding the maximum value along a particular axis. The library is optimized for performance, making it suitable for handling large datasets efficiently.

## How to Use 📝

To start using this library, simply import the necessary functions into your JavaScript codebase. You can then call the provided reduce functions with the input array, dimensions to reduce over, and the output array where the results will be stored. Make sure to follow the documentation and examples provided to understand how to use the library effectively in your projects.

## Repository Topics 🧠

- accumulate

- accumulation

- array

- base

- javascript

- ndarray

- node

- node-js

- nodejs

- reduce

- reduction

- stdlib

- strided

- subarray

- unary

## Visit the Releases 🚀

For the latest updates, bug fixes, and new features, visit the [Releases](https://github.com/pablim653/ndarray-base-unary-reduce-subarray/releases). Explore the different versions to stay up-to-date with the library improvements over time.

## Contribution 🤝

If you find bugs, have suggestions for enhancements, or want to contribute to the library, feel free to submit a pull request. Your contributions are valuable in improving the library for the community of developers using it. Let's collaborate to make this library even better!

## Support 🌟

If you encounter any issues while using the library or have questions about its functionality, please open an issue on GitHub. Our team is here to provide support and address any concerns you may have. Your feedback is essential in helping us improve the library for all users.

## License 📄

This library is licensed under the MIT License, allowing you to use, modify, and distribute it as needed for your projects. For full details, refer to the [License](LICENSE) file in the repository.

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Get started with reducing arrays in JavaScript efficiently with the `ndarray-base-unary-reduce-subarray` library. Simplify your data manipulation tasks and optimize performance with easy-to-use functions designed for multidimensional array operations. 🚀

Let's crunch those numbers and reduce those arrays like a pro! 🧮🔍

![Array Reduction](https://example.com/array-reduction-image.jpg)