A Non-monotone Conjugate Subgradient Type Method for Minimization of Convex Functions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Optimization Theory and Applications"
DOI: 10.1007/s10957-019-01589-6
Abstract: We suggest a conjugate subgradient type method without any line search for minimization of convex non-differentiable functions. Unlike the custom methods of this class, it does not require monotone decrease in the goal function and… read more here.
Keywords: type method; minimization convex; subgradient type; conjugate subgradient ... See more keywords
An inertial subgradient-type method for solving single-valued variational inequalities and fixed point problems
Sign Up to like & getrecommendations! Published in 2017 at "Numerical Algorithms"
DOI: 10.1007/s11075-017-0468-9
Abstract: In this paper, we introduce an inertial subgradient-type algorithm to find the common element of fixed point set of a family of nonexpansive mappings and the solution set of the single-valued variational inequality problem. Under… read more here.
Keywords: subgradient type; single valued; valued variational; inertial subgradient ... See more keywords