A new relaxed proximal point procedure and applications to nonlinear variational inclusions

A new relaxed algorithmic procedure based on the notion of AA-maximal relaxed monotonicity is developed, and then the convergence analysis in the context of solving a general class of nonlinear inclusion problems is examined. Furthermore, some results involving AA-maximal relaxed monotone mappings in a Hilbert space setting are included.