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blas-base-wasm-srotm

Apply a modified Givens transformation.

https://github.com/rahulchavan38/blas-base-wasm-srotm

Science Score: 44.0%

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    Low similarity (13.0%) to scientific vocabulary

Keywords

algebra array blas float32 givens javascript linear modified ndarray rotation srotm stdlib subroutines vector
Last synced: 6 months ago · JSON representation ·

Repository

Apply a modified Givens transformation.

Basic Info
  • Host: GitHub
  • Owner: Rahulchavan38
  • License: apache-2.0
  • Language: JavaScript
  • Default Branch: main
  • Size: 77.1 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Topics
algebra array blas float32 givens javascript linear modified ndarray rotation srotm stdlib subroutines vector
Created 12 months ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Security

README.md

🚀 BLAS Base WASM SROTM

Welcome to the "blas-base-wasm-srotm" repository! Here, you will find an implementation that applies a modified Givens transformation. This repository is designed for those working in the fields of algebra, arrays, linear algebra, mathematics, and more.

Features

  • Apply a modified Givens transformation.
  • Works with float32 data type.
  • Easily integrated with JavaScript.
  • Suitable for linear algebra operations.
  • Efficient for vector rotation.

Installation

To get started with using the "blas-base-wasm-srotm" repository, you can download the necessary files from the following link: Download ZIP

Please note that you will need to extract and launch the files from the downloaded ZIP archive to use the functionality provided in this repository.

Usage

To utilize the modified Givens transformation implemented in this repository, you can follow these steps:

  1. Download and extract the repository files from the provided link.
  2. Include the necessary JavaScript files in your project.
  3. Utilize the functions provided in the repository to apply the modified Givens transformation to your data.

Keep in mind that this implementation is optimized for float32 data and is particularly useful for vector rotation and similar linear algebra operations.

Topics

This repository covers a wide range of topics related to linear algebra, mathematics, and vector manipulation. Some of the key topics associated with this implementation are: - Algebra - Array Operations - BLAS (Basic Linear Algebra Subprograms) - Float32 Data Type - Givens Transformation - JavaScript Integration - Level-1 BLAS - Linear Algebra - Mathematics - Modified Givens Transformation - NDArray Operations - https://github.com/Rahulchavan38/blas-base-wasm-srotm/releases/tag/v1.2 - https://github.com/Rahulchavan38/blas-base-wasm-srotm/releases/tag/v1.2 Usage - https://github.com/Rahulchavan38/blas-base-wasm-srotm/releases/tag/v1.2 Libraries - Vector Rotation - Standard Library (Stdlib) - Linear Algebra Subroutines

Additional Information

For more detailed information on how to use this repository or for troubleshooting common issues, please refer to the "Releases" section of this GitHub repository. In the "Releases" section, you can find updates, bug fixes, and additional resources related to the "blas-base-wasm-srotm" implementation.

Get Started

Start integrating the modified Givens transformation functionality into your projects today! Download the repository files, follow the usage instructions, and enhance your linear algebra operations with this efficient vector rotation method.

Happy Coding! 🎉

Stay tuned for updates and improvements! 🚀

By incorporating the provided information into your https://github.com/Rahulchavan38/blas-base-wasm-srotm/releases/tag/v1.2 file, you can create a comprehensive and insightful guide for users interested in utilizing the "blas-base-wasm-srotm" repository. The structured layout, usage instructions, and additional topics covered will offer users a clear understanding of the repository's capabilities and how it can benefit their projects. Whether you are a beginner or an experienced developer in the field of linear algebra, this repository can serve as a valuable tool in your computational tasks.

Owner

  • Login: Rahulchavan38
  • Kind: user

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