Lecture

Solving the linear system: Iterative methods

Description

This lecture covers iterative methods for solving linear systems, where approximate solutions are built to the actual system. It explains error and residual vectors, convergence criteria, and point-iterative methods like Jacobi, Gauss-Seidel, and Successive Over-Relaxation. The lecture also delves into examples of 1D steady diffusion, multigrid methods, and the concept of combining iterations on meshes of different sizes to improve accuracy and convergence rate.

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