Thermal spray technologies continuously evolve to meet new challenges arising from
current and future market needs and requirements. This evolution has been well …

In this paper, a novel multilayer backpropagation (BP) neural network model is proposed
based on conjugate gradient (CG) method with generalized Armijo search. The presented …

Conjugate gradient methods have many advantages in real numerical experiments, such as
fast convergence and low memory requirements. This paper considers a class of conjugate …

Purpose–Generally, iterative methods which have some instability solutions in complex
structural and non-linear mechanical problems are used to compute reliability index. The …

Linear convergence rates of descent methods for unconstrained minimization are usually
proved under the assumption that the objective function is strongly convex. Recently it was …

Oncolytic viruses are genetically modified viruses that selectively infect and destroy cancer
cells while leaving normal and healthy cells intact. Most previous studies did not consider …

Conjugate gradient methods have advantages, such as fast convergence and low memory
requirement, which are important for many real-life applications. For zero-order Takagi …

The minimum duration of treatment periods and the optimal multidrug therapy for human
immunodeficiency virus (HIV) type 1 infection are considered. We formulate an optimal …

We consider the increasingly important and highly complex immunological control problem:
control of the dynamics of immunosuppression for organ transplant recipients. The goal in …

We consider a model of HIV infection with various compartments, including target cells,
infected cells, viral loads and immune effector cells, to describe HIV type 1 infection. We …