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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

Singular value decomposition algorithms

Numerical linear algebra · STEM / applied

Topic

Singular value decomposition algorithms

Practice by unit: Eigenvalue and SVD computations

Graduate Numerical Linear Algebra — scope drawn from open NLA notes (e.g. Trefethen/Bau-style OER mirrors) and typical US graduate NLA syllabi.

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