Assess students' ability to analyze convergence of Jacobi, Gauss–Seidel, and SOR methods for solving Ax=b. Tasks include deriving iteration matrices, computing spectral radii and relevant norms, verifying sufficient conditions (strict diagonal dominance, SPD), deciding convergence/divergence for given matrices, and selecting/justifying an optimal relaxation parameter ω with rate-of-convergence estimates for concrete examples and proofs.