Recently, robotic manipulators have been playing an increasingly critical part in scientific
research and industrial applications. However, modeling of robotic manipulators is …

The influence of neutrosophy on many fields of science and technology, as well as its
numerous applications, are evident. Our motivation is to apply neutrosophy for the first time …

Conjugate gradient (CG) methods are famous for their utilization in solving unconstrained
optimization problems, particularly for large scale problems and have become more …

This works constructs a noble BFGS search direction for solving unconstrained optimization
problems using a modified rational approximation model (MRAM). The new MRAM consists …

This paper presents a modified AMRI conjugate gradient (CG) technique based on exact
line search. The novel approach is use for solving unconstrained optimization problems. The …

Unemployment rate is one of the major issues among Malaysian citizens. The
unemployment rate indicates the percentage of the total workforce who are actively seeking …

In this chapter, a new conjugate gradient Method, called KMAR, is employed for solving
unconstrained optimization problems, specifically to train a multi-layer perceptron (MLP) …

Many researchers are working to develop conjugate gradient (CG) methods and their
applications in real-life problems. In this paper, a data set of the number of Road Crashes …

In this paper we present a new BFGS method for solving unconstrained optimization
problems, using a modified rational approximation model. The idea is to improve the Barzilai …

This paper studies a new hybrid conjugate gradient (CG) method based on the Aini-Rivaie-
Mustafa (ARM) CG method for solving nonlinear unconstrained optimization problems. The …