YASK--Yet Another Stencil Kit: a domain-specific language and framework to create high-performance stencil code for implementing finite-difference methods and similar applications.

A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).

Electric field lines and equipotentials using Runge-Kutta methods, including adaptive ones

常微分方程式の数値解法の基礎．（教材）

3D animation of the Lorenz Attractor trajectory, implemented in Python using the 4th order Runge-Kutta method. [Personal project]

Python solver for the Brownian, Stochastic, or Noisy Differential Equations

Solving some interesting problems using Python and C++

Competitive Lotka–Volterra equations, solved using Runge-Kutta methods. Four dimensional system.

Set of modern Fortran numerical methods.

C++ library of (Ordinary) Differential Equations solvers.

The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, an…

Differents algorithms on python or matlab about numerical analysis - UNI

Numerical Method Codes in Python

The motion of an asteroid in a two-dimensional space with a star and a planet • University project • 2014 - Laboratorio di Fisica Computazionale - BSc in Physics, II year

A collection of various methods to find solution to Ordinary Differential Equations.

Works about Cucker-Smale model and its extensions. =Keywords: ODE, Runge-Kutta methods, SDE, Euler-Maruyama method, NumPy, Matplotlib

Contains sample implementations in python of the following numerical methods: Euler's Method, Midpoint Euler's Method, Runge Kuttta Method of Order 4, and Composite Simpson's Rule

Mathematical model based on the numerical analysis of ordinary differential equations for the capture of satellite positions and velocities

Implementations of various Algorithms used in Numerical Analysis, from root-finding up to gradient descent and numerically solving PDEs.

Implementation of several popular solvers for solving ODEs in MATLAB.