Numerical resolvent methods are presented for macro-hybrid mixed variational inequalities, which render Uzawa and penalty-duality type iterative algorithms. The sub differential methodology for constrained problems is extended to domain decomposition hybrid formulations. Then, systematically, finite element discretizations can be constructed, and numerical iterative algorithms are produced via resolvent characterizations and proximal-point approximations. For associated evolution problems, the algorithms are interpreted as numerical time integration schemes.