In this work, the ethanol fuel dehydration process was optimized using Aspen Plus? simulator and a multivariate statistical technique based on desirability function. The suitability of ionic liquids 1-methylimidazolium chloride ([Mim][Cl]), 1-ethyl-3-methylimidazolium ([Emim][Cl]), 1-butyl- -3-methylimidazolium ([Bmim][Cl]) 1-hexyl-3-methylimidazolium ([Hmim][Cl]), as extractive distillation en...

Abstract The power grid load shows a trend of diversified development. With the continuous increase construction scale, it is very important to optimize supply distribution network and improve utilization assets equipment by using peak valley complementary characteristics multiple loads. In this paper, peak-valley fluctuation are classified analyzed. Cluster analysis used study classification w...

Semidefinite optimization problems are an expressive family of convex optimization problems that can be solved efficiently. We develop semidefinite optimization-based formulations and approximations for a number of families of optimization problems, including problems arising in spacecraft attitude estimation and in learning tree-structured statistical models. We construct explicit exact reform...

One paramount challenge in multi-ion-sensing arises from ion interference that degrades the accuracy of sensor calibration. Machine learning models are here proposed to optimize such multivariate However, acquisition big experimental data is time and resource consuming practice, necessitating new paradigms efficient for these data-limited frameworks. Therefore, a novel approach presented this w...

In this paper, we propose a multivariate market model with returns assumed to follow a multivariate normal tempered stable distribution. This distribution, defined by a mixture of the multivariate normal distribution and the tempered stable subordinator, is consistent with two stylized facts that have been observed for asset distributions: fat-tails and an asymmetric dependence structure. Assum...

There is a deep and useful connection between statistical mechanics (the behavior of systems with many degrees of freedom in thermal equilibrium at a finite temperature) and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters). A detailed analogy with annealing in solids provides a framework for optimization of the properties of very ...