This paper considers optimization problems on Riemannian manifolds and analyzes the
iteration-complexity for gradient and subgradient methods on manifolds with nonnegative …

This paper presents a descent direction method for finding extrema of locally Lipschitz
functions defined on Riemannian manifolds. To this end we define a set-valued mapping …

In this paper, we study the Karush–Kuhn–Tucker optimality conditions in an optimization
problem with interval-valued objective function on Hadamard manifolds. The gH-directional …

In this paper, we introduce and study a class of mixed quasi-hemivariational inequality
problems on Hadamard manifolds (in short,(MQHIP)). Some regularized gap functions for …

This paper deals with the proximal point algorithm for finding a singularity of sum of a single-
valued vector field and a set-valued vector field in the setting of Hadamard manifolds. The …

Local convergence analysis of the proximal point method for a special class of nonconvex
functions on Hadamard manifold is presented in this paper. The well definedness of the …

This paper presents a Riemannian trust region algorithm for unconstrained optimization
problems with locally Lipschitz objective functions defined on complete Riemannian …

In this paper, we introduce a new iterative technique with a variable anchoring operator for
reckoning the solution of a variational inequality problem over the set of the common fixed …

Several optimization schemes have been known for convex optimization problems.
However, numerical algorithms for solving nonconvex optimization problems are still …

The purpose of this paper is to establish some new results on the Levitin–Polyak well-
posedness to a class of split hemivariational inequality problems on Hadamard manifolds …