and Applied Analysis 3 = ‖d k−1 ‖2 ‖g k−1 ‖4 + 1 ‖g k ‖2 − β2 k (gT k d k−1 ) 2 /‖g k ‖4

In this paper, we derived a modified conjugate gradient (CG) parameter by adopting the Birgin and Marti´nez strategy using descent three-term CG direction Newton direction. The proposed is applied suggests robust algorithm for solving constrained monotone equations with an application to image restoration problems. global convergence of established some proper assumptions. Lastly, numerical com...

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 gradient learning methods for backpropagation (BP) neural networks with three layers. We propose a new learning algorithm for almost cyclic BP neural networks based on PRP conjugate gradient method. We then establish the d...

In this paper, we propose a couple of new Stochastic Strictly Contractive PeacemanRachford Splitting Method (SCPRSM), called Stochastic SCPRSM (SS-PRSM) and Stochastic Conjugate Gradient SCPRSM (SCG-PRSM) for large-scale optimization problems. The two types of Stochastic PRSM algorithms respectively incorporate stochastic variance reduced gradient (SVRG) and conjugate gradient method. Stochasti...