number-float64-base-identity
Evaluate the identity function for a double-precision floating-point number.
Science Score: 44.0%
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Repository
Evaluate the identity function for a double-precision floating-point number.
Basic Info
- Host: GitHub
- Owner: syedrudro
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 53.7 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
🚀 Number Float64 Base Identity 🚀
Welcome to the repository for number-float64-base-identity! Here we focus on evaluating the identity function for a double-precision floating-point number. If you are dealing with JavaScript, mathematics, or https://github.com/syedrudro/number-float64-base-identity/releases, this repository is the perfect resource for you.
Topics 📚
- dbl
- double
- double-precision
- float64
- identity
- javascript
- math
- mathematics
- node
- node-js
- nodejs
- stdlib
Get Started 🎉
To get started with evaluating the identity function for a double-precision floating-point number, head over to the following link: Download https://github.com/syedrudro/number-float64-base-identity/releases
If the link doesn't work or needs to be launched, make sure to check out the "Releases" section of this repository for alternative download options.
Why Evaluate the Identity Function?
The identity function is a fundamental concept in mathematics that returns the input value itself. When working with double-precision floating-point numbers, it is essential to accurately determine the identity function to maintain precision and consistency in calculations.
How It Works 🛠️
The evaluation of the identity function for a double-precision floating-point number involves passing the number through a specific set of calculations and checks to ensure that the output matches the input. By leveraging JavaScript and https://github.com/syedrudro/number-float64-base-identity/releases, we can efficiently perform these operations with high accuracy.
Features ✨
- Precise evaluation of the identity function for double-precision floating-point numbers.
- Seamless integration with JavaScript and https://github.com/syedrudro/number-float64-base-identity/releases projects.
- Comprehensive mathematical calculations to maintain accuracy.
- Easy-to-use functions for quick implementation in various applications.
Installation 🖥️
To install the number-float64-base-identity package in your https://github.com/syedrudro/number-float64-base-identity/releases project, you can use npm or yarn:
bash
npm install number-float64-base-identity
or
bash
yarn add number-float64-base-identity
Usage 🚀
Once the package is installed, you can import it into your project and start using the functions to evaluate the identity function for double-precision floating-point numbers.
```javascript const { evaluateIdentity } = require('number-float64-base-identity');
const inputNumber = 3.14; const result = evaluateIdentity(inputNumber);
https://github.com/syedrudro/number-float64-base-identity/releases(The identity function of ${inputNumber} is ${result}.);
```
Contributions 🤝
Contributions to this project are welcome! Whether you want to improve the existing functionality, add new features, or fix bugs, feel free to submit a pull request. Together, we can enhance the accuracy and performance of evaluating the identity function for double-precision floating-point numbers.
Support ℹ️
If you encounter any issues or have questions about using the number-float64-base-identity package, please reach out by opening an issue on this repository. Your feedback is valuable in improving this tool for the community.
Stay Connected 🌐
For updates and additional resources, make sure to visit our website here. Stay connected with the latest news, tutorials, and releases regarding the evaluation of the identity function for double-precision floating-point numbers.
License 📜
This project is licensed under the MIT License - see the LICENSE file for details.
Feel free to explore the functionalities of number-float64-base-identity and dive into the world of precise mathematical evaluations for double-precision floating-point numbers. Thank you for being a part of this exciting journey! 🚀🔢🎉
Let's make math computations accurate and efficient together! 🧮🚀✨
Owner
- Login: syedrudro
- Kind: user
- Repositories: 1
- Profile: https://github.com/syedrudro
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
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| syedrudro | 1****o | 2 |
| stdlib-bot | n****y@s****o | 1 |
Committer Domains (Top 20 + Academic)
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Last synced: 7 months ago
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- Total pull requests: 0
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- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
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- Average comments per issue: 0
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Dependencies
- @stdlib/bench-harness ^0.2.2 development
- @stdlib/constants-float64-ninf ^0.2.2 development
- @stdlib/constants-float64-pinf ^0.2.2 development
- @stdlib/math-base-assert-is-nan ^0.2.2 development
- @stdlib/math-base-assert-is-negative-zero ^0.2.2 development
- @stdlib/math-base-assert-is-positive-zero ^0.2.2 development
- @stdlib/math-base-special-round ^0.3.0 development
- @stdlib/random-base-randu ^0.2.1 development
- @stdlib/utils-try-require ^0.2.2 development
- istanbul ^0.4.1 development
- tap-min git+https://github.com/Planeshifter/tap-min.git development
- tape git+https://github.com/kgryte/tape.git#fix/globby development
- @stdlib/math-base-napi-unary ^0.2.3
- @stdlib/utils-library-manifest ^0.2.2