https://github.com/rust-or/highs

Safe rust bindings to the Highs MILP Solver.
https://github.com/rust-or/highs

Last synced: about 1 month ago
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Safe rust bindings to the Highs MILP Solver.

• Host: GitHub
• URL: https://github.com/rust-or/highs
• Owner: rust-or
• License: mit
• Created: 2021-02-26T16:23:02.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-03-19T04:16:01.000Z (3 months ago)
• Last Synced: 2024-05-11T19:02:22.873Z (about 2 months ago)
• Language: Rust
• Homepage: https://crates.io/crates/highs
• Size: 56.6 KB
• Stars: 18
• Watchers: 6
• Forks: 10
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-rust-formalized-reasoning - highs - safe rust bindings for the [HiGHS](https://highs.dev) linear programming solver. (Projects / Libraries)

README

        
# highs

[![highs docs badge](https://docs.rs/highs/badge.svg)](https://docs.rs/highs)

Safe rust bindings to the Highs MILP Solver. Best used from the [**good_lp**](https://crates.io/crates/good_lp) linear

programming modeler.

## Usage examples

#### Building a problem variable by variable

```rust

use highs::{ColProblem, Sense};

fn main() {

    let mut pb = ColProblem::new();

    // We cannot use more then 5 units of sugar in total.

    let sugar = pb.add_row(..=5);

    // We cannot use more then 3 units of milk in total.

    let milk = pb.add_row(..=3);

    // We have a first cake that we can sell for 2€. Baking it requires 1 unit of milk and 2 of sugar.

    pb.add_integer_column(2., 0.., &[(sugar, 2.), (milk, 1.)]);

    // We have a second cake that we can sell for 8€. Baking it requires 2 units of milk and 3 of sugar.

    pb.add_integer_column(8., 0.., &[(sugar, 3.), (milk, 2.)]);

    // Find the maximal possible profit

    let solution = pb.optimise(Sense::Maximise).solve().get_solution();

    // The solution is to bake one cake of each sort

    assert_eq!(solution.columns(), vec![1., 1.]);

}

```

#### Building a problem constraint by constraint

```rust

use highs::*;

fn main() {

    let mut pb = RowProblem::new();

    // Optimize 3x - 2y with x<=6 and y>=5

    let x = pb.add_column(3., ..6);

    let y = pb.add_column(-2., 5..);

    pb.add_row(2.., &[(x, 3.), (y, 8.)]); // 2 <= x*3 + y*8

}

```