Introduction to Numerical AnalysisCovers the basics of numerical analysis, including adaptive feature computation, residual analysis, and the importance of well-posed problems.
Sensitivity of SolutionsExplores the sensitivity of solutions in numerical methods, including linear systems and matrix norms, with an example of deblurring images.
Richardson ConvergenceExplains convergence criteria and optimal choices for Richardson iteration method, including error estimation and matrix conditioning.
