git clone git://github.com/farr/ocaml-solve.gitI'm particularly proud of this one for two reasons:

- All the algorithms, even the ones requiring derivatives, use bracketing. If a step in the algorithm would fall outside the brackets for the root, the algorithms perform a bisection step instead, and then try again. In this way, all algorithms are guaranteed to converge on a root. (It's always annoyed me that the GSL doesn't do this with its "algorithms that require derivatives".)
- One of the algorithms in the library is a higher-order Newton's method. Given an arbitrary number of derivatives, this algorithm takes advantage of the additional information to implement higher-order convergence. I learned this trick from Danby's book, where he is trying to solve Kepler's equation using a fourth-order method.