Rustplex

A fast and efficient Linear Programming (LP) Solver implemented in Rust, designed to solve optimization problems using the Simplex Algorithm.

✨ Features

• Fast & Efficient: Optimized implementation of the Simplex Algorithm for solving LP problems.
• User-Friendly API: Designed for ease of use with a clean and intuitive API.
• Custom Constraints & Objectives: Define your own constraints and objective functions effortlessly.
• Scalable & Reliable: Suitable for large-scale linear programming problems.

🚀 Installation

install via Cargo:

cargo add rustplex

🛠 Usage

use rustplex::core::{constraint::ConstraintSense, model::Model, objective::ObjectiveSense};

fn main() {
    let mut model = Model::new();

    let x1 = model.add_variable().name("x1").bounds(1.0..=5.0);
    let x2 = model.add_variable().name("x2").upper_bound(2.0);
    let x3 = model.add_variable().name("x3");

    model.set_objective(ObjectiveSense::Maximize, &x1 + &x2 + &x3);

    model
        .add_constraint(&x1, ConstraintSense::LessEqual, 10)
        .name("constr1");

    model
        .add_constraint(&x2 + &x3, ConstraintSense::LessEqual, 5)
        .name("constr2");

    model.solve();

    println!("{}", model.get_solution());
}

Output:

Solver Status: Optimal
Objective Value: 10.00
Variable Values: [
        Var(x2): 2.00
        Var(x3): 3.00
        Var(x1): 5.00
]
Iterations: 3
Solve Time: 18.10µs

🛠 Contributing

Contributions are welcome! Feel free to fork, submit issues, or open pull requests.

📄 License

This project is licensed under the terms of both the MIT license and the Apache License (Version 2.0).

See LICENSE-MIT and LICENSE-APACHE for details.

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Developed with ❤️ in Rust.