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.

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…

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

Differents algorithms on python or matlab about numerical analysis - UNI

Numerical Method Codes in Python

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

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.

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

Implementation of several popular solvers for solving ODEs in MATLAB.

A collection of classical algorithms to solve ODEs and boundary value problems

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