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Combinatorial problems can be interesting for their own sake, but they are more interesting when there is a connection to a problem outside combinatorics, and the more unexpected the connection the better. Counting the number of unlabeled rooted trees [1] with n nodes is a pure mathematics problem. Designing numerical methods for solving differential equations is an applied mathematics problem. And yet the two are closely linked. Let t(n) be the number of distinct unlabeled rooted trees with n nodes. The diagram below shows that the first few terms of this sequence are 1, 1, 2, and 4. In an earlier post I showed that designing a 4-stage explicit Runge-Kutta method required solving a system of 8 equations in 10 unknowns, leaving two degrees of freedom in the solutions. The number of constraints c(s) needed to design an s-stage explicit RK method is equal to the number of rooted trees with up to s nodes: c(s) = t(1) + t(2) + t(3) + … + t(s) This is because there is a one-to-one…

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