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RungeKutta Method Theory and Python MATLAB Implementation
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=1FYrnwqWQNY
In this video tutorial, the theory of Runge-Kutta Method (RK4) for numerical solution of ordinary differential equations (ODEs), is discussed and then implemented using MATLAB and Python from scratch. As an example, the well-know Lotka-Volterra model (aka. the Predator-Prey model) is numerically simulated and solved using Runge-Kutta 4th order (RK4), in both languages, Python and MATLAB. For more information and download the video and project files and lecture notes for this tutorial, see: https://yarpiz.com/yptdeq190515 • After completing this tutorial, you will learn: • How to implement Runge-Kutta in Python • How to implement Runge-Kutta in MATLAB • Solving System of Nonlinear Differential Equations • Simulation of a Lotka-Volterra (Predator-Prey) System • Who this course is for: • Applied Math and Science Students • Engineering Students • Anyone Interested in Numerical Computation • Software Engineers and Programmers • Requirements • Python and/or MATLAB Programming • Differential Equations • Publisher: Yarpiz (https://www.yarpiz.com) • Instructor: Mostapha Kalami Heris • 00:00 Introduction to implementation of Runge-Kutta method for numerical solution of nonlinear differential equations • 00:23 Theory of Runge-Kutta Method • 05:51 Implementation of Runge-Kutta in Matlab • 23:03 Implementation of Runge-Kutta in Python
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