This lecture covers the Runge-Kutta method, including the explicit and implicit versions, with examples such as Euler, Heun, and RK4. It also discusses the selection of parameters to minimize errors and stability in non-linear systems.
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The student will learn state-of-the-art algorithms for solving differential equations. The analysis and implementation of these algorithms will be discussed in some detail.
