Expand description
Provides pure-Rust implementations of linear algebra routines for ndarray without depending
on external LAPACK/BLAS libraries.
§Eliminating BLAS dependencies
If this crate is being used as a BLAS-less replacement for ndarray-linalg, make sure to
remove ndarray-linalg from the entire dependency tree of your crate. This is because
ndarray-linalg, even as a transitive dependency, forces ndarray to be built with the blas
feature, which forces all matrix multiplications to rely on a BLAS backend. This leads to
linker errors if no BLAS backend is specified.
Modules§
- bidiagonal
- Compact bidiagonal decomposition for matrices
- cholesky
- Cholesky decomposition on symmetric positive definite matrices.
- eigh
- Eigendecomposition for symmetric square matrices
- lobpcg
- Locally Optimal Block Preconditioned Conjugate Gradient (LOBPCG) is a matrix-free method for finding the large (or smallest) eigenvalues and the corresponding eigenvectors of a symmetric eigenvalue problem
- norm
- Norm of vectors
- qr
- QR decomposition of rectangular matrices.
- reflection
- svd
- Compact singular-value decomposition of matrices
- triangular
- Traits for creating and manipulating triangular matrices
- tridiagonal
- Tridiagonal decomposition of a symmetric matrix
Enums§
- Linalg
Error - Order
- Find largest or smallest eigenvalues