Module lapack_accelerated 

LAPACK (Linear Algebra Package) operations

This module provides LAPACK operations with pure Rust implementations. In future versions, these will be accelerated using ndarray-linalg’s bindings to native LAPACK libraries, which would be significantly faster for large matrices.

Note: While ndarray-linalg provides native LAPACK bindings, the current implementation uses pure Rust algorithms for better compatibility and stability. Future versions will incorporate optimized LAPACK routines for performance-critical applications.

Functions

cholesky

Computes the Cholesky decomposition of a symmetric positive-definite matrix.

eig

eigh

Computes the eigenvalues and eigenvectors of a symmetric matrix.

lu

Performs LU decomposition with partial pivoting.

qr

Performs QR decomposition.

svd

Performs singular value decomposition.