Numerical Analysis code from the Oscar Veliz YouTube Channel
-
Updated
Jul 25, 2024 - Python
Numerical Analysis code from the Oscar Veliz YouTube Channel
goto_conversion and efficient_shin_conversion (faster Shin's method)
Python implementation of various soccer/football analytics methods such as Poisson goals prediction, Shin method, machine learning prediction... This is a companion python module for octosport medium blog.
Fast computation of some matrices useful in statistics
Implementation of learning a Gaussian mixture model using tensor decomposition.
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
Data Mining and Machine Learning Algorithm Implementations
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks
PageRank serial and parallel implementation
Applying Diffrenet iterative methods to find some specific (smallest or largest) eigen values
Códigos y prácticas de MATLAB para la materia de cálculo numérico
C code bisection, gauss seidel, incremental search, jacobi Method , LU Decomposition, Newton_Raphson, Power Method, QR_Decomposition, regula_falsi Method, Simpson and Trapezoidal Integration
Implementation of the PageRank algorithm using Power Method
Implementing some numerical linear algebra methods
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.
Using Constrained LS, SVD analysis and PageRank to efficiently solve common problems
Add a description, image, and links to the power-method topic page so that developers can more easily learn about it.
To associate your repository with the power-method topic, visit your repo's landing page and select "manage topics."