#matrix #heapless #linear-algebra #embedded #rust

heapless_matrix

This crate provides a simple and efficient implementation of a matrix data structure in Rust. It offers functionality for creating, manipulating, and performing operations on matrices, such as transposition, summation, and multiplication.

6 releases

0.1.5 Jun 28, 2024
0.1.4 Jun 13, 2024

#523 in Data structures

Download history 159/week @ 2024-06-06 240/week @ 2024-06-13 2/week @ 2024-06-20 145/week @ 2024-06-27 31/week @ 2024-07-04 18/week @ 2024-07-25

314 downloads per month

BSL-1.0 license

33KB
731 lines

Heapless Matrix Library Crate

This crate provides a simple and efficient implementation of a matrix data structure in Rust. It offers functionality for creating, manipulating, and performing operations on matrices, such as transposition, summation, and multiplication.

Features

  • Generic Matrix Type: Define matrices of any size with fixed dimensions using const generics.
  • Element-wise Operations: Perform operations such as transposition, summation, and multiplication on matrices.
  • Compile-time Safety: Ensure that matrix dimensions are enforced at compile-time, preventing runtime errors.
  • Efficient Memory Usage: Utilizes the heapless crate for fixed-capacity vectors, ensuring efficient memory usage and avoiding heap allocations.
  • Suitable for Bare Metal Coding: This implementation does not require heap allocation, making it suitable for bare metal programming and environments with limited resources.
  • Clear API: Provides a clear and concise API for working with matrices, making it easy to integrate into your Rust projects.

Usage

To use this crate in your Rust project, add it as a dependency in your Cargo.toml file:

[dependencies]
heapless_matrix = {git = "https://github.com/Spago123/heapless-matrix"}

Note

From version 0.1.4 the crate has implemented the functionalities to be used in a no_std environment.

Contributing

We welcome contributions to the Heapless Matrix Library Crate! The goal is to add more features that are connected to matrices and data - analisys such as least - squares, optimization algorithms, singular - value decomposition (SVD), control - algorithms etc... Everything in the context of the heapless - crate and application on bare metal and real - time.

Contact

If you have any suggestions how to improve the crate or you encounter possible bugs or have questions feel free to open an issue in the GitHub repository.

Dependencies

~475KB