We consider optimization problems over the Stiefel manifold whose objective function is the
summation of a smooth function and a nonsmooth function. Existing methods for solving this …

In this paper, based on the projection strategy, we propose a derivative-free iterative method
for large-scale nonlinear monotone equations with convex constraints, which can generate a …

CG_DESCENT is a state-of-the-art algorithm to solve large-scale unconstrained
minimization problems. However, research activities on CG_DESCENT in some other …

In this paper, we present a projection method to solve monotone nonlinear equations with
convex constraints. This method can be viewed as an extension of CG_DESCENT method …

In this paper, based on the three-term conjugate gradient projection method and the inertial
technique, we propose a modified inertial three-term conjugate gradient projection method …

In this paper, based on a line search technique proposed by Solodov and Svaiter (1998,
Reformulation: Nonsmooth, Piecewise Smooth, Semismooth, and Smoothing Methods (M …

We consider optimization problems over the Stiefel manifold whose objective function is the
summation of a smooth function and a nonsmooth function. Existing methods for solving this …

Sediment transport is one of the major challenging fields in hydrology. The tropical
atmosphere, complex topography and occasional extreme precipitation are the fundamental …

Combining the derivative-free projection with inertial technique, we propose a hybrid inertial
spectral conjugate gradient projection method for solving constrained nonlinear monotone …

In this paper, an accelerated spectral conjugate gradient projection algorithm is proposed for
solving the constrained nonlinear pseudo-monotone equations. We set a restart procedure …