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This lecture covers the topic of linear systems, focusing on convergence and methods for solving them. It discusses the challenges in CPU time and memory requirements, presenting direct and iterative methods such as Cholesky decomposition and LU decomposition. The lecture also delves into the complexities of solving linear systems and the importance of choosing the right method based on the problem at hand.