  We described a method to solve deterministic and stochastic Walras
equilibrium models based on associating with the given problem a bifunction
whose maxinf-points turn out to be equilibrium points. The numerical procedure
relies on an augmentation of this bifunction. Convergence of the proposed
procedure is proved by relying on the relevant lopsided convergence. In the
dynamic versions of our models, deterministic and stochastic, we are mostly
concerned with models that equip the agents with a mechanism to transfer goods
from one time period to the next, possibly simply savings, but also allows for
the transformation of goods via production
