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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 Runge-Kutta method for approximating solutions of differential equations, focusing on stages, implementation, and justification. The instructor explains the theory, formulas, and proof of order, providing insights into the computational complexity and practical applications.