Numerical Analysis code from the Oscar Veliz YouTube Channel
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Aug 15, 2026 - Python
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Numerical Analysis code from the Oscar Veliz YouTube Channel
root-finding numerical-analysis taylor-series newtons-method power-method newton-fractal fixed-point-iteration bisection-method false-position-method muller-s-method secant-method steffensen-s-method wegstein-s-method durand-kerner brent-dekker aberth-ehrlich laguerre-s-method halley-s-method householder-s-method machin-like-forumla
goto_conversion - Powered $47,000 of prize money, 10+ Gold Medals and 100+ Medals on Kaggle
betfair-api betfair kaggle kaggle-competition gambling betting horse-racing bookmakers kaggle-dataset sports-betting bet365 power-method betting-odds bookmaker sports-analytics kaggle-solution shin-method betfair-historical-data betfair-exchange betfair-data
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.
machine-learning football elo-rating prediction-model poisson-distribution power-method soccer-analytics implied-odds soccer-prediction shin-method
Fast computation of some matrices useful in statistics
ridge-regression ols-regression sweep-operator power-method lu-factorization schur-decomposition matrix-norms sherman-morrison commutation-matrix matrix-api-for-r-packages symmetrizer-matrix ldl-factorization jarque-bera-test modified-cholesky matrix-square-root
Implementation of learning a Gaussian mixture model using tensor decomposition.
machine-learning gaussian-mixture-models tensors tensor-decomposition power-method method-of-moments
The implementation of a numerical method with an appropriate convergence check in C++
cpp heat-equation numerical-methods gauss-elimination wave-equation numerical-analysis laplace-equation newton-raphson gauss-seidel gauss-jordan numerical-algorithms power-method adams-bashforth adams-bashforth-methods regula-falsi trapezoidal-method bisection-method newtons-forward-interpolation numerical-approximation factorization-methods
Implementation of the PageRank algorithm using the Power Method on the Indian Tourism webpage hyperlink graph, with experiments on different damping factors.
Data Mining and Machine Learning Algorithm Implementations
python data-science machine-learning data-mining matrix-factorization pca expectation-maximization k-means lda svd spectral-clustering power-method z-normalization
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks
pagerank svd power-method bisection-method secant-method moore-penrose-pseudo-inverse bfgs-algorithm
Modular Python implementation of the PageRank algorithm via the power method, with discrete‑math foundations, end‑to‑end code, and experimental validation.
python graph-algorithms numpy markov-chain pagerank discrete-mathematics scipy networks network-analysis power-method
Applying Diffrenet iterative methods to find some specific (smallest or largest) eigen values
iterative-methods lanczos power-method eigenvalueproblems davidson-eigensolver arnoldi-algorithm eigenvalue-solvers jacobi-davidson
PageRank serial and parallel implementation
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
programming lu-decomposition newton-raphson gauss-seidel gauss-jordan simpson-rule interpolation-methods cubic-splines power-method regula-falsi intergration newton-interpolation jacobi-method c-language-programming numerical-techniques compter-science
Modelli di prestazioni per l'auto-tuning di kernel GPU (dataset SGEMM): minimi quadrati risolti con metodi diretti (Cholesky, QR di Householder, SVD) e iterativi (gradiente, gradiente coniugato, BFGS, ADAM) a confronto. Progetto d'esame di Numerical Methods for Scientific Computing – Università di Catania.
python gpu numpy linear-regression linear-algebra least-squares gradient-descent numerical-methods conjugate-gradient svd numerical-analysis qr-decomposition householder auto-tuning bfgs adam-optimizer power-method cholesky-decomposition sgemm performance-modeling
Códigos y prácticas de MATLAB para la materia de cálculo numérico
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