Runge-Kutta Method: Theory and Python + MATLAB Implementation
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
Видео Runge-Kutta Method: Theory and Python + MATLAB Implementation канала Yarpiz
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
Видео Runge-Kutta Method: Theory and Python + MATLAB Implementation канала Yarpiz
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