On the convergence of curvilinear search algorithms in unconstrained optimization
The purpose of this paper is to unify the conditions under which curvilinear algorithms for unconstrained optimization converge. Particularly, two gradient path approximation algorithms and a trust region curvilinear algorithm are examined in this context.
scientific article; zbMATH DE number 3908180