The cell-to-cell mapping technique (CCMT) is a numerical technique for
the global analysis of non-linear dynamic systems and models system e
volution as a Markov chain in discrete time. The computational feasibi
lity of a continuous time version of CCMT is investigated using the va
n der Pol oscillator. The results show that while the continuous CCMT
leads to large reduction in Markov model setup time and memory require
ments as well as saving a large amount of computational time in the va
lidation of the results with respect to the conventional CCMT, converg
ence to the asymptotic solution can be very slow. In these respect, th
e continuous CCMT approach is expected to be most effective as a scopi
ng tool to determine the approximate location of the attractors. (C) 1
997 Academic Press Limited.