[−][src]Module ndarray_linalg::lapack
Define traits wrapping LAPACK routines
Re-exports
pub use self::cholesky::*; |
pub use self::eig::*; |
pub use self::eigh::*; |
pub use self::least_squares::*; |
pub use self::opnorm::*; |
pub use self::qr::*; |
pub use self::solve::*; |
pub use self::solveh::*; |
pub use self::svd::*; |
pub use self::svddc::*; |
pub use self::triangular::*; |
pub use self::tridiagonal::*; |
Modules
| cholesky | Cholesky decomposition |
| eig | Eigenvalue decomposition for general matrices |
| eigh | Eigenvalue decomposition for Hermite matrices |
| least_squares | Least squares |
| opnorm | Operator norms of matrices |
| qr | QR decomposition |
| solve | Solve linear problem using LU decomposition |
| solveh | Solve symmetric linear problem using the Bunch-Kaufman diagonal pivoting method. |
| svd | Singular-value decomposition |
| svddc | |
| triangular | Implement linear solver and inverse matrix |
| tridiagonal | Implement linear solver using LU decomposition for tridiagonal matrix |
Enums
| NormType | |
| Transpose | |
| UPLO | Upper/Lower specification for seveal usages |
Traits
| Lapack | Trait for primitive types which implements LAPACK subroutines |
Functions
| into_result |
Type Definitions
| Pivot |