Solutions of stochastic partial differential equations as extremals of convex functionals.

Stochastic evolution equations with monotone operators in Banach spaces are considered. The solutions are characterized as minimizers of certain convex functionals. The method of monotonicity is interpreted as a method of constructing minimizers to these functionals, and in this way solutions are constructed via Euler-Galerkin approximations. [ABSTRACT FROM AUTHOR]