It solves integro-differential equations, delay equations, iterative equations, all combined with probabilistic models.
Postscript output is supported.
A variety of numerical methods are employed so that the user can generally be sure that the solutions are accurate. Examples are connectionist type neural nets, biophysical models, models with memory, and models of cells with random inputs or with random transitions. A graphical interface using X windows as well as numerous plotting options are provided. A tutorial is available on the web. Softwares on Nonlinear and Complex Systems .