linear_algebra_ws 0.1.0

An open-source Rust library for linear algebra operations, designed with privacy and transparency.
linear_algebra_ws-0.1.0 is not a library.

linear_algebra_ws

Author: Willy Sajbeni
Email: willy@sajbeni.com
GitHub: https://github.com/willySajbeni
LinkedIn: https://www.linkedin.com/in/willysajbeni/

A minimal, transparent, and Open Source linear algebra library written in Rust.

Why?

Most machine learning libraries today (TensorFlow, PyTorch, etc.) involve heavy tracking, telemetry, or hidden behaviors.
LinearAlgebra-RS is designed to be completely open, simple, educational, and 100% under your control — no tracking, no spyware.

This project starts from pure linear algebra operations and will evolve into a full numerical computation engine.

Current Features

✅ Vector operations

  • Sum
  • Subtraction
  • Multiplication (element-wise)
  • Division (element-wise)

✅ User input for vectors and matrices

Upcoming Features (Roadmap)

  • Matrix operations

    • Sum of Matrices
    • Subtraction of Matrices
    • Multiplication of Matrices
    • Matrix Inversion
    • Matrix Division (via Multiplication by Inverse)
    • LU Decomposition
    • Eigenvalues and Eigenvectors

  • Advanced Numerical Methods

    • Iterative Methods for Linear Systems (Jacobi, Gauss-Seidel)
    • Direct Methods (Gaussian Elimination, LU Factorization)
    • Conjugate Gradient Method (for sparse systems)

  • Gradient Optimizers

    • Simple Gradient Descent
    • Stochastic Gradient Descent (SGD)
    • Adam Optimizer
    • RMSProp

  • Dimensionality Reduction

    • PCA (Principal Component Analysis)
    • SVD (Singular Value Decomposition)
    • LLE (Locally Linear Embedding)
    • t-SNE (t-Distributed Stochastic Neighbor Embedding)

How to Run

Make sure you have Rust installed.

Clone this repository:

git clone https://github.com/willySajbeni/linear_algebra_ws.git
cd linear_algebra_ws
cargo run