  When applying the quasi-Monte Carlo (QMC) method of numerical integration of
univariate functions, Koksma's inequality provides a basic estimate of the
error in terms of the discrepancy of the used evaluation points and the total
variation of the integrated function. We present an extension of Koksma's
inequality that is also applicable for functions with infinite total variation.
