# sprs, sparse matrices for Rust
[](https://travis-ci.org/vbarrielle/sprs)
[](https://crates.io/crates/sprs)
sprs implements some sparse matrix data structures and linear algebra
algorithms in pure Rust.
The API is a work in progress, and feedback on its rough edges is highly
appreciated :)
## Features
### Structures
- CSR/CSC matrix
- triplet matrix
- Sparse vector
### Operations
- sparse matrix / sparse vector product
- sparse matrix / sparse matrix product
- sparse matrix / sparse matrix addition, subtraction
- sparse vector / sparse vector addition, subtraction, dot product
- sparse/dense matrix operations
### Algorithms
- Outer iterator on compressed sparse matrices
- sparse vector iteration
- sparse vectors joint non zero iterations
- simple sparse Cholesky decomposition (requires opting into an LGPL license)
- sparse triangular solves with dense right-hand side
## Examples
Matrix construction
```rust
use sprs::{CsMat, CsMatOwned, CsVec};
let eye : CsMatOwned<f64> = CsMat::eye(3);
let a = CsMat::new_csc((3, 3),
vec![0, 2, 4, 5],
vec![0, 1, 0, 2, 2],
vec![1., 2., 3., 4., 5.]);
```
Matrix vector multiplication
```rust
use sprs::{CsMat, CsVec};
let eye = CsMat::eye(5);
let x = CsVec::new(5, vec![0, 2, 4], vec![1., 2., 3.]);
let y = &eye * &x;
assert_eq!(x, y);
```
Matrix matrix multiplication, addition
```rust
use sprs::{CsMat, CsVec};
let eye = CsMat::eye(3);
let a = CsMat::new_csc((3, 3),
vec![0, 2, 4, 5],
vec![0, 1, 0, 2, 2],
vec![1., 2., 3., 4., 5.]);
let b = &eye * &a;
assert_eq!(a, b.to_csr());
```
For a more complete example, be sure to check out the [heat diffusion](examples/heat.rs) example.
## Documentation
Documentation is available at [docs.rs](https://docs.rs/sprs).
## Changelog
See the [changelog](changelog.rst).
## Minimum Supported Rust Version
The minimum supported Rust version currently is 1.49. Prior to a 1.0 version,
bumping the MSRV will not be considered a breaking change, but breakage will
be avoided on a best effort basis.
## License
Licensed under either of
* Apache License, Version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or https://www.apache.org/licenses/LICENSE-2.0)
* MIT license ([LICENSE-MIT](LICENSE-MIT) or https://opensource.org/licenses/MIT)
at your option.
### Contribution
Unless you explicitly state otherwise, any contribution intentionally
submitted for inclusion in the work by you, as defined in the Apache-2.0
license, shall be dual licensed as above, without any additional terms or
conditions.
Please see the [contribution guidelines](Guidelines.rst) for additional information about
contributing.