Numerical Methods with Programming

It is important for a numerical integration algorithm to be able to adapt to the behavior of the function being integrated, by increasing the number of evaluation points as needed to achieve desired precision. This adaptive approach can be combined with any of the numerical integration methods studied so far: one can have adaptive forms of Simpson's rule, Gauss-Legendre rule, etc.