Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4632915 | Applied Mathematics and Computation | 2009 | 13 Pages |
Abstract
A general framework for an algorithmic procedure based on the variational convergence of operator sequences involving A-maximal (m)-relaxed monotone (AMRM) mappings in a Hilbert space setting is developed, and then it is applied to approximating the solution of a general class of nonlinear implicit inclusion problems involving A-maximal (m)-relaxed monotone mappings. Furthermore, some specializations of interest on existence theorems and corresponding approximation solvability theorems on H-maximal monotone mappings are included that may include several other results for general variational inclusion problems on general maximal monotonicity in the literature.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ravi P. Agarwal, Ram U. Verma,