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The document outlines a series of exercises focused on numerical methods for solving partial differential equations using Python. It includes implementations of the Jacobi method, Gauss-Seidel method, successive over-relaxation, and multi-grid methods, along with visualizations of the results. Each part of the exercise involves setting up parameters, initializing grids, applying boundary conditions, and iterating to achieve convergence.

Author

peicheng.t

Language

EN