Numerical Methods for Large Eigenvalue Problems¶
Saad, Y. (2011). Numerical Methods for Large Eigenvalue Problems.
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Domain-specific¶
- Locally Optimal Block Preconditioned Conjugate Gradient
- Lanczos or Krylov–Schur may win when preconditioning is unavailable; Davidson or Jacobi–Davidson may suit other correction structures or interior targets; a dense solver wins when most of the spectrum is wanted.
This sourceAuthoritative treatment of Lanczos, Krylov, subspace, Davidson, and partial eigenvalue methods.
- Lanczos or Krylov–Schur may win when preconditioning is unavailable; Davidson or Jacobi–Davidson may suit other correction structures or interior targets; a dense solver wins when most of the spectrum is wanted.
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