In this paper, an alternative design approach to the construction of bridge crane systems is
analyzed with respect to the potentials and challenges of use based on two possible …

Renewable energy is the energy for future generations as it is clean and widely available.
The solar absorber is a sustainable energy source that converts solar energy into heat …

This paper addresses the study of a new class of nonsmooth optimization problems, where
the objective is represented as a difference of two generally nonconvex functions. We …

Optimization algorithms play a central role in chemistry since optimization is the
computational keystone of most molecular and electronic structure calculations. Herein, we …

The radius of robust feasibility provides a numerical value for the largest possible
uncertainty set that guarantees feasibility of a robust counterpart of a mathematical program …

Unlike the space targets such as satellites whose observation distance is about the order of
100 km, the measurement distance of long baseline (LBL) underwater positioning system is …

Convex analysis, convex optimization, and algorithms are important topics in modern
applied mathematics. In this text, we provide an introduction to a selection of these topics …

We have presented a solar absorber design with gold–MgF2–tungsten materials. The solar
absorber design is optimized with nonlinear optimization mathematical method to find and …

In this paper, we investigate the radius of robust feasibility of system of uncertain convex
inequalities by the Minkowski function. We firstly establish an upper bound and a lower …

In this paper we introduce the Boosted Double-proximal Subgradient Algorithm (BDSA), a
novel splitting algorithm designed to address general structured nonsmooth and nonconvex …