Studying 2nd order differential equation with Runge-Kutta and Verlet
-
Updated
Jan 31, 2019 - C
Studying 2nd order differential equation with Runge-Kutta and Verlet
Repository of my work with Hybrid Systems, covering topics from Reachability Analysis to Predicate Logic
Operations with 3-complex parts variables and Runge-Kutta integrator on Euler eom.
Solved numerical methods exercises with Python
Implementations of various numerical integration methods, written in plain Java.
Work done for Math 451: Introduction to Numerical Analysis II
Implementation of explicit Runge-Kutta time-marching schemes for the coupled hydro-mechanical problem.
A program for finding solutions for a differential equation using 3 differenet numerical methods.
material for the course "Stellar Formation and Evolution" at NCU at the 2nd semester of academic year 2021
A double pendulum simulation in rust using Runge-Kutta 4th order ODE solver.
Runge-Kutta Methods Talk - full resources and self-implemented NINT demos
N Pendulums - Generalizations of double pendulum chaotic system
Undergraduate project solving the n-body problem using 4th-order Runge-Kutta integration.
Various methods of numerical integration and problems of Mathematical Optimisation written in C-fashioned C++ and exhibited in model toy projects
Physical simulation of a pendulum using second order Runge-Kutta method
A Python math package for numerical analysis: root finding, iterative solvers & other algorithms. Bisection, Newton, Euler, RK2, RK4, Adams-Bashforth-Moulton, etc. Uses Python, NumPy, SymPy, pytest.
This npm package contains generic Runge-Kutta code that can be used to implement any explicit or embedded methods. The methods currently implemented for use are Forward Euler, Midpoint, Classic 4th order, Cash-Karp, Fehlberg 4-5, and Fehlberg 7-8.
Python scripts and Jupyter notebook which have numerical routines to obtain the solution of the Lorenz Attractor using Runge-Kutta 4
SIR approximation model
Function code in python of The fourth order Runge Kutta method to compute approximated solutions of ordinary differential equations and its documentation.
Add a description, image, and links to the runge-kutta topic page so that developers can more easily learn about it.
To associate your repository with the runge-kutta topic, visit your repo's landing page and select "manage topics."