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.
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Updated
Jul 14, 2026 - C++
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
3D animation of the Lorenz Attractor trajectory, implemented in Python using the 4th order Runge-Kutta method. [Personal project]
常微分方程式の数値解法の基礎.(教材)
Set of modern Fortran numerical methods.
Solving some interesting problems using Python and C++
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…
Competitive Lotka–Volterra equations, solved using Runge-Kutta methods. Four dimensional system.
Python solver for the Brownian, Stochastic, or Noisy Differential Equations
Works about Cucker-Smale model and its extensions. =Keywords: ODE, Runge-Kutta methods, SDE, Euler-Maruyama method, NumPy, Matplotlib
C++ library of (Ordinary) Differential Equations solvers.
Simple header-only C++ ODE solver library for Runge-Kutta 4th order method with events.
Numerical Method Codes in Python
Differents algorithms on python or matlab about numerical analysis - UNI
A modern Fortran library providing an object-oriented approach to solving ordinary differential equations.
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.
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