Macrosystems are systems in which the stochastic behaviour of the
elements is transformed into deterministic behaviour of the system
as a whole. This publication discusses equilibrium in these
systems. Mathematical models of stationary states using the
principle of maximum entropy are presented. This is developed and
generalized for macrosystems with constrained resources. Parametric
properties which characterize a model's response to data variations
are discussed. The author has developed new computational methods
for the computer-aided realization of stationary state models.
Algorithms and computer experiments are evaluated. Mathematical
modelling methods are applied to problems of hierarchical
structures, interregional product exchange and image
reconstruction.
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