Predicting Obesity Risk Levels though Lifestyle

A collection of algorithms in numerical analysis implemented in C++ (Mirror)

Numerical methods are a collection of techniques used to find approximate solutions to mathematical problems that cannot be solved exactly. These methods are essential for tackling complex equations and models in various fields such as engineering, physics, and finance.

Source files for my experiments not limited to computer graphics.

Fundamental algorithms of Linear Algebra , Numerical Analysis and Calculus in Python and Julia.

Investigation of kink-antikink scattering using parallel computing in python.

A collection of Generic Ada packages for basic numerical analysis

A numerics library for the Mojo programming language

Implementation of the 12 steps approach to the Navier-Stokes equations, essential for simulating fluid dynamics.

This is our Github Repository containing the Python projects for the course: Introduction to Programming and Numerical Analysis at the University of Copenhagen

Landau Distribution Numeric Computation Memo

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

Repository containing tasks from the AGH Numerical Methods course

repo for masterthesis on monte carlo for linear ODEs

Simulation of solar system

Density-functional toolkit

计算数学/科学计算 WiKi

This repository provides essential numerical algorithms for solving mathematical problems. Covering linear equations, differential equations and more, it's a valuable resource for students and professionals in science and engineering.

This article provides examples of monomial deciders, monomial generators, and picking functions and the methods to develop them.

Fahlevisia Website