Understand how finite-precision math affects Lanczos and CG methods in this focused study of numerical linear algebra.
See how rounding errors can shape eigenvalue approximations and convergence behavior, with clear comparisons to exact results.
This edition analyzes how finite precision computations mimic or diverge from ideal algorithms, using practical examples and visual evidence. It highlights when and why errors alter convergence rates, and what that means for solving large linear systems and eigenvalue problems."synopsis" may belong to another edition of this title.