In this paper we test different conjugate gradient (CG) methods for solving largescale unconstrained optimization problems. The methods are divided in two groups: the first group includes five basic ...
This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...
Journal of Computational Mathematics, Vol. 26, No. 2 (March 2008), pp. 227-239 (13 pages) We discuss semiconvergence of the extrapolated iterative methods for solving singular linear systems. We ...
Electromagnetic (EM) wave front modulation has important significance in both scientific research and industrial applications. However, conventional dielectric materials have limited choices of ...
This course introduces high-performance computing (“HPC”) systems, software, and methods used to solve large-scale problems in science and engineering. It will focus on the intersection of two ...
In August 2025, Guangdong Jinfu Technology Co., Ltd. applied for a patent titled "A Method and System for Training Q&A Intelligent Agent Models Based on Data Annotation Collaboration." This patent ...
In this talk today we will discuss how to improve the resolution of your current CE-SDS methods. We will cover how CE-SDS works and what types of derivatisation for laser induced fluorescence (LIF) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback