A numerical computing library exploring linear algebra, matrix operations, and mathematical computation in Rust.
Math Suite is a long-term project focused on building reusable mathematical utilities and numerical algorithms from first principles. Originally envisioned as the computational engine behind a broader academic mathematics application, it has gradually evolved into an independent library that can power future applications, tools, and experiments.
Rather than targeting a single application, the project aims to become a growing collection of mathematical building blocks that emphasize correctness, modularity, and understanding.
Many mathematical libraries already exist.
This project isn't intended to replace them.
Instead, it serves as a way to better understand numerical computing by implementing important mathematical concepts from the ground up while building reusable components for future projects.
It also provides a foundation for applications that require linear algebra, matrix computation, and numerical methods.
| Component | Status |
|---|---|
| Matrix Operations | Implemented |
| Matrix Transformations | Implemented |
| LU Decomposition | Implemented |
| QR Decomposition | Implemented |
| Linear System Solvers | Implemented |
| Eigenvalue Estimation | Implemented |
| Documentation | In Progress |
| Additional Mathematical Modules | Planned |
The project remains under active evolution as new mathematical topics are explored.
- Matrix creation and manipulation
- Identity and zero matrices
- Matrix arithmetic
- Matrix transposition
- Row and column operations
- LU decomposition
- QR decomposition
- Determinant computation
- Matrix inversion
- Linear system solving
- Eigenvalue approximation
- Utility and formatting functions
Additional mathematical modules will be introduced as the library grows.
math-suite/
├── src/
│ ├── matrices.rs
│ ├── vectors.rs
│ ├── statistics.rs
│ ├── calculus.rs
│ ├── optimization.rs
│ ├── numerical/
│ └── ...
│
├── examples/
├── benchmarks/
├── docs/
└── README.md
The objective of this project is not to compete with mature numerical libraries.
Instead, it exists to:
- Learn by implementing mathematical algorithms.
- Build reusable components for future software.
- Improve understanding of numerical computation.
- Gradually expand into a comprehensive mathematical toolkit.
Correctness and clarity take priority over optimization.
- Continue improving matrix functionality.
- Refine internal APIs.
- Improve documentation.
- Expand vector operations.
- Introduce additional numerical algorithms.
- Add examples and benchmarks.
- Support broader mathematical domains.
- Serve as a reusable dependency for future projects.
- Power standalone applications requiring mathematical computation.
Math Suite is a long-term engineering project.
Some modules are mature, while others exist only as ideas or future plans. The repository is expected to evolve gradually alongside my understanding of mathematics, numerical methods, and systems programming.