Assess students' ability to analyze and compare the convergence and stability of Jacobi, Gauss–Seidel, and SOR iterative methods for solving linear systems Ax = b. Scope includes deriving iteration matrices, applying spectral radius and matrix properties (strict diagonal dominance, symmetric positive definiteness) to determine convergence, estimating and comparing rates of convergence, examining error propagation and stability, and selecting/approximating an optimal relaxation parameter ω for SOR; tasks may require computing eigenvalues/spectral radii for given matrices and justifying method choice.