Abstract: For the conjugate gradient method to solve the unconstrained optimization problem, given a new interval method to obtain the direction parameters, and a new conjugate gradient algorithm is ...

First Article of the Newsfeed. After months of careful consideration, I finally decided to start blogging. I had an innate passion to learn about the things that be - the phenomena that governed my ...

The Gradient Descent Algorithm is very important in machine learning. People use it to optimize models by lowering the cost or loss function. This iterative method helps train models like neural ...

Molding has been widely used to manufacture thermoset composite structures in the aerospace and automotive industries owing to its efficiency in reducing the number of parts and the manufacturing cost ...

As one of the largest superfamily of cell membrane receptors, G protein-coupled receptors (GPCRs) regulate signaling transduction in response to diverse external signals and are targets of ~35% of ...

ABSTRACT: Three PRP-type direct search methods for unconstrained optimization are presented. The methods adopt three kinds of recently developed descent conjugate gradient methods and the idea of ...

The nonlinear conjugate gradient method is a very useful technique for solving large scale minimization problems and has wide applications in many fields. In this paper, we present a new algorithm of ...