Linear algebra package for Rust with ndarray based on external LAPACK implementations.

See examples directory.

Note: To run examples, you must specify which backend will be used (as described below). For example, you can execute the solve example with the OpenBLAS backend like this:

cargo run --example solve --features=openblas

and run all tests of ndarray-linalg with OpenBLAS

cargo test --features=openblas

Three BLAS/LAPACK implementations are supported:

• OpenBLAS
  • needs gfortran (or other Fortran compiler)
• Netlib
  • needs cmake and gfortran
• Intel MKL (non-free license, see the linked page)

There are three features corresponding to the backend implementations (openblas / netlib / intel-mkl):

[dependencies] ndarray = "0.12" ndarray-linalg = { version = "0.11", features = ["openblas"] }

If you creating a library depending on this crate, we encourage you not to link any backend:

[dependencies] ndarray = "0.12" ndarray-linalg = "0.11"

For the sake of linking flexibility, you can provide LAPACKE implementation (as an extern crate) yourself. You should link a LAPACKE implementation to a final crate (like binary executable or dylib) only, not to a Rust library.

[dependencies] ndarray = "0.12" ndarray-linalg = "0.11" openblas-src = "0.7" # or another backend of your choice 

You must add extern crate to your code in this case:

extern crate ndarray; extern crate ndarray_linalg; extern crate openblas_src; // or another backend of your choice