Abstract
A phase space cell method for providing a global description of the motions of a physical system is outlined. The key feature is a coarse-graining approximation to the phase-space probability distribution. Constants of motion and other constraints are incorporated to reduce the dimensionality of computations. Time-independent and time-dependent methods of solution are discussed.
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