unconstrained Optimization VM-algorithms self-scaling global convergence
Abstract
In this paper a class of self-scaling VM-algorithms for unconstrained optimization is investigated. Some theoretical results are given on the scaling strategies that guarantee the global convergence of the new proposed algorithm.
