### 18 stable releases

2.1.3 | Jun 23, 2023 |
---|---|

2.1.2 | Jun 18, 2023 |

1.4.2 | Jun 13, 2023 |

#**979** in Science

**121** downloads per month

**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

, or `from_dense`

to
quickly and easily convert!`from_sparse`

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``(``)``;`
`let` res `=` c`.``sin``(``)``.``exp``(``3``)``.``unwrap``(``)``.``pow``(``2``)``.``add_val``(``4.``0``)``.``abs``(``)``;`
`//` 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

#### Dependencies

~2.3–3MB

~64K SLoC