This lecture covers iterative methods for solving linear systems, including the Jacobi and Gauss-Seidel methods. It explains the recurrence relations, consistency, and convergence criteria for these methods. The lecture also delves into the Cholesky factorization and the preconditioned conjugate gradient method.
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