The problems considered in this paper are described in polyhedral
multi-valued mappings for higher order(s-th) discrete (PDSIs) and
differential inclusions (PDFIs). The present paper focuses on the necessary
and sufficient conditions of optimality for optimization of these problems. By
converting the PDSIs problem into a geometric constraint problem, we
formulate the necessary and sufficient conditions of optimality for a convex
minimization problem with linear inequality constraints. Then, in terms of
the Euler-Lagrange type PDSIs and the specially formulated transversality
conditions, we are able to obtain conditions of optimality for the PDSIs. In
order to obtain the necessary and sufficient conditions of optimality for the
discrete-approximation problem PDSIs, we reduce this problem to the form of
a problem with higher order discrete inclusions. Finally, by formally
passing to the limit, we establish the sufficient conditions of optimality for
the problem with higher order PDFIs. Numerical approach is developed to
solve a polyhedral problem with second order polyhedral discrete inclusions.