This lecture covers iterative methods for solving linear systems, including Richardson method, gradient method, and conjugate gradient method. It explains convergence criteria, spectral radius, and preconditioned methods. The lecture also discusses the importance of spectral radius in determining convergence and efficiency of iterative methods.
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