Abstract: The conjugate-gradient method (CGM) is a traditional approach to solve the inverse scattering problem (ISP). This method requires the solution of both the forward problem and the calculation ...
Least-squares reverse-time migration (LSRTM) can overcome the problems of low resolution and unbalanced amplitude energy of deep formation imaging in reverse-time migration (RTM); hence, it can obtain ...
This article is about the gradient descent algorithm and the different alternatives that can be used instead of the gradient descent algorithm. Gradient descent is a popular optimisation technique in ...
the numerical results for unconstrained optimization problems, in which contain four tables. Unconstrained_optimization_problems implementation of two groups of experiments for unconstrained ...
In this paper, we provide and analyze a new scaled conjugate gradient method and its performance, based on the modified secant equation of the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method and on a ...
Neurotransmitters are the key factors in ameliorating the symptoms of nervous system diseases. Stroke/cerebral ischemia has been proven to be caused by the excess release of excitatory amino acid ...
The miniaturization of droplet manipulation methods has led to drops being proposed as microreactors in many applications of biology and chemistry. In parallel, microfluidic methods have been applied ...
ABSTRACT: A hybrid method of the Polak-Ribière-Polyak (PRP) method and the Wei-Yao-Liu (WYL) method is proposed for unconstrained optimization pro- blems, which possesses the following properties: i) ...