Module solvers

👎Deprecated: moved to faer::linalg::solvers

Sparse solvers.

Each solver satisfies the SpSolver and/or SpSolverLstsq traits, which can be used to solve linear systems.

Structs

• Cholesky
  Cholesky decomposition.
• CholeskyError
  This error signifies that the LLT decomposition could not be computed due to the matrix not being numerically positive definite.
• ColPivQr
  QR decomposition with column pivoting.
• Eigendecomposition
  Complex eigendecomposition.
• FullPivLu
  LU decomposition with full pivoting.
• Lblt
  Bunch-Kaufman decomposition.
• PartialPivLu
  LU decomposition with partial pivoting.
• Qr
  QR decomposition.
• SelfAdjointEigendecomposition
  Self-adjoint eigendecomposition.
• Svd
  Singular value decomposition.
• ThinSvd
  Thin singular value decomposition.

Traits

• Solver
  Solver that can compute solution of a linear system.
• SolverCore
  Object-safe base for Solver
• SolverLstsq
  Dense solver that can compute the least squares solution of an overdetermined linear system.
• SolverLstsqCore
  Object-safe base for SolverLstsq
• SpSolver
  Solver that can compute solution of a linear system.
• SpSolverCore
  Object-safe base for SpSolver
• SpSolverLstsq
  Solver that can compute the least squares solution of an overdetermined linear system.
• SpSolverLstsqCore
  Object-safe base for SpSolverLstsq