That the truncation error is of the order of hn+1. That is, the error is proportional to the step size h raised to
the (n +1)th power. Although this approximation implies nothing regarding the magnitude of the derivatives that
multiply hn+1, it is extremely useful in judging the comparative error of numerical methods based on Taylor series
expansions. For example, if the error is O(h), halving the step size will halve the error. On the other hand, if the
error is O(h2), halving the step size will quarter the error.