In this program
- Power method and inverse iteration
- Rayleigh quotient
- QR algorithm and Francis shifts
- Lanczos and Arnoldi processes
- Singular value decomposition algorithms
- Pseudospectra
- Sensitivity of eigenvalues (introduction)
Eigenvalue and SVD computations
Sensitivity of eigenvalues (introduction)
Numerical linear algebra · STEM / applied
Topic
Sensitivity of eigenvalues (introduction)
Graduate Numerical Linear Algebra — scope drawn from open NLA notes (e.g. Trefethen/Bau-style OER mirrors) and typical US graduate NLA syllabi.