Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing search ...
Abstract: Data-driven iterative learning control can achieve high performance for systems performing repeating tasks without the need for modeling. The aim of this paper is to develop a fast ...
Abstract: This study proposes a novel hybrid conjugate gradient method, termed the RMILLS method, aimed at resolving constrained nonlinear monotone equations. This method integrates the projection ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results