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Methods in numerical analysis. Includes: Lagrange interpolation, Chebyshev polynomials for optimal node spacing, iterative techniques to solve linear systems (Gauss-Seidel, Jacobi, SOR), SVD, PCA, and more.
Código de ejemplo para la asignatura de "Sistemas operativos y Redes computacionales", el problemas de concurrencia en procesos llamado "Los fumadores"
Desktop app. Evaluates system of equations. Six different methods. Three Direct methods: Gaussian Elimination, Gauss Jordan, LU Decomposition. Three iterative methods: Jacobi, Gauss Seidal, Successive Over Relaxation (SOR).
Python implementation of image inpainting using Jacobi and SOR methods for the 2D Laplace equation, with optimal ω calculation for SOR. Part of Numerical Linear Algebra course (Summer 2025, BTU). Details in README.