Monte Carlo testing and verification of numerical algorithm implementations

We develop a statistical test to assess correctness of a numerical algorithm implementation. We propose a Monte Carlo method to estimate the accuracy of an approximation algorithm without knowing a true value to be computed. The methodology is illustrated on computation of partial volumes in breast tissue simulation.