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This lecture covers the Jacobi and Gauss-Seidel methods for solving linear systems. The Jacobi method assumes diagonal dominance, while the Gauss-Seidel method considers the lower and upper triangular parts of the matrix. The iterative process is explained, along with the convergence criteria and the importance of the preconditioning matrix.
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