Computational Methods in Science and Technology

Course Overview

This repository contains lab assignments for the Computational Methods in Science and Technology course. The course covers fundamental numerical algorithms and their properties, such as:

• conditioning,
• accuracy,
• stability,

in the context of computer arithmetic.

Labs are implemented in Rust and Julia.

Repository Structure

📂 computational methods
│── 📂 lab1
│   ├── rust
│   ├── julia
│── 📂 lab2
│   ├── rust
│   ├── julia
│── ...
│── README.md

Each directory contains source code for the respective programming language.

Requirements

To run the code, you need:

• Rust (recommended: latest stable)
• Julia (recommended: latest stable)

Additionally, install cargo for Rust and Pkg for Julia package management.

Installation & Execution

Rust

1. Install Rust via rustup.
2. Navigate to the lab directory:

   cd lab1

3. Build and run:

   cargo run

Julia

1. Download and install Julia.
2. Navigate to the lab directory:

   cd lab1

3. Run the script:

   julia main.jl

Author

• Kacperon – (https://github.com/Kacperon)

License

This project is released under the MIT License – see LICENSE for details.