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 ...

Electromagnetic (EM) wave front modulation has important significance in both scientific researches and industrial applications. However, conventional dielectric materials have limited choices of ...

The wide-speed-range vehicles have attracted significant attention due to the exceptional performance in autonomous aerospace ...

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) ...

Optimization problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...