Códigos y prácticas de MATLAB para la materia de cálculo numérico
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Updated
Mar 1, 2022 - MATLAB
Códigos y prácticas de MATLAB para la materia de cálculo numérico
Implementation of the PageRank algorithm using Power Method
C code bisection, gauss seidel, incremental search, jacobi Method , LU Decomposition, Newton_Raphson, Power Method, QR_Decomposition, regula_falsi Method, Simpson and Trapezoidal Integration
PageRank calculation using te Gauss-Seidel methon and parallelism
Método del gradiente conjugado. Método del descenso. Método de la potencia. Proyectos en Python de la materia Algebra Lineal Computacional. FCEN UBA 2° Cuatrimestre 2022.
Numerical methods made with Python
Implementing some numerical linear algebra methods
Using Constrained LS, SVD analysis and PageRank to efficiently solve common problems
Solve finite-bandwidth Eliashberg equations
This repository contains a series of mini-projects focused on fundamental numerical methods implemented in MATLAB. These projects cover key areas in numerical linear algebra and root-finding techniques, each designed to provide practical insights into mathematical theories and their computational applications.
PageRank serial and parallel implementation
Applying Diffrenet iterative methods to find some specific (smallest or largest) eigen values
Data Mining and Machine Learning Algorithm Implementations
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks
In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm
Implementation of learning a Gaussian mixture model using tensor decomposition.
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