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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the stages of the explicit Runge-Kutta method for approximating y(t) with detailed explanations and formulas for each stage, including the Euler method and RK4. It also discusses the process of choosing parameters to ensure the accuracy of the scheme.