Abstract:
The fundamental motivation behind this paper is to solve variational inequality for SM-iterative method under some gentle conditions. We focus on calculating the common results of variational inequality and of SM-iteration. As application part, convex minimization problem is solved under modified SM-algorithm. Numerical example is supplied to validate our main result. Our result holds comparison between the SM-and S-algorithms.
