👎Deprecated: moved to faer::linalg::solvers
Expand description
Sparse solvers.
Each solver satisfies the SpSolver and/or
SpSolverLstsq traits, which can be used to
solve linear systems.
Structs§
- Cholesky
- Cholesky decomposition.
- Cholesky
Error - This error signifies that the LLT decomposition could not be computed due to the matrix not being numerically positive definite.
- ColPiv
Qr - QR decomposition with column pivoting.
- Eigendecomposition
- Complex eigendecomposition.
- Full
PivLu - LU decomposition with full pivoting.
- Lblt
- Bunch-Kaufman decomposition.
- Partial
PivLu - LU decomposition with partial pivoting.
- Qr
- QR decomposition.
- Self
Adjoint Eigendecomposition - Self-adjoint eigendecomposition.
- Svd
- Singular value decomposition.
- ThinSvd
- Thin singular value decomposition.
Traits§
- Solver
- Solver that can compute solution of a linear system.
- Solver
Core - Object-safe base for
Solver - Solver
Lstsq - Dense solver that can compute the least squares solution of an overdetermined linear system.
- Solver
Lstsq Core - Object-safe base for
SolverLstsq - SpSolver
- Solver that can compute solution of a linear system.
- SpSolver
Core - Object-safe base for
SpSolver - SpSolver
Lstsq - Solver that can compute the least squares solution of an overdetermined linear system.
- SpSolver
Lstsq Core - Object-safe base for
SpSolverLstsq