## sukker

Linear Algebra and Matrices made easy!

### 18 stable releases

 2.1.3 Jun 23, 2023 Jun 18, 2023 Jun 13, 2023

#979 in Science

MIT/Apache

130KB
2K SLoC

# Sukker - Linear Algebra library written in rust

## Linear algebra in Rust!

Parallelized using rayon with support for many common datatypes, sukker tries to make matrix operations easier for the user, while still giving you as the user the performance you deserve.

Regular matrices have many features already ready, while Sparse ones have most of them. Whenever you want to switch from one to the other, just call `from_dense`, or `from_sparse` to quickly and easily convert!

Need a feature? Please let me/us know!

Even have custom declarative macros to create hashmap for your sparse matrices!

## Examples

### Dens Matrices

``````use sukker::{LinAlgFloats, Matrix};

fn main() {
let a = Matrix::<f32>::randomize((8, 56));
let b = Matrix::<f32>::randomize((56, 8));

let c = a.matmul(&b).unwrap();

// To print this beautiful matrix:
res.print(5);
}
``````

### Sparse Matrices

``````use std::collections::HashMap;
use sukker::{SparseMatrix, SparseMatrixData};

fn main() {
let indexes: SparseMatrixData<f64> = smd![
((0, 1), 2.0),
((1, 0), 4.0),
((2, 3), 6.0),
((3, 3), 8.0)
];

let sparse = SparseMatrix::<f64>::new(indexes, (4, 4));

sparse.print(3);
}
``````

More examples can be found here

## Documentation

Full API documentation can be found here.

## Features

• Easy to use!
• Blazingly fast
• Linear Algebra module fully functional on f32 and f64
• Optimized matrix multiplication for both sparse and dense matrices
• Easily able to convert between sparse and dense matrices
• Serde support
• Support for all signed numeric datatypes
• Can be sent over threads
• Sparse matrices

~2.3–3MB
~64K SLoC