Direct and Iterative Methods for Linear Equations

This lecture covers direct methods for solving systems of linear equations, focusing on symmetric and positive definite matrices, eigenvalues, and condition numbers. It also delves into iterative methods like Richardson's method, Jacobi's method, and Gauss-Seidel's method, explaining their application and computational cost. The slides provide detailed examples and formulas to illustrate the concepts.