Affiliation of Author(s):能源与动力学院
Journal:Hangkong Dongli Xuebao
Abstract:Based on high nonlinearity, low computational accuracy, or hard convergence of Lagrangian calculation in the classic maximum entropy quantile function, a new method called dual-sequential updating method was proposed. Dual expression of optimization function was established on the basis of Lagrangian dual approach. Further sequential updating method was proposed based on the constraint by the probability weighted moments. After analyzing several common distributions and a complex distribution by dual maximum entropy quantile function and classic maximum entropy quantile function, result showed that, dual maximum entropy quantile function had advantage of low nonlinearity and simple form, and dual-sequential updating method had good computational accuracy and optimization convergence. © 2017, Editorial Department of Journal of Aerospace Power. All right reserved.
ISSN No.:1000-8055
Translation or Not:no
Date of Publication:2017-02-01
Co-author:吴福仙
Correspondence Author:wwd
Professor
Gender:Male
Alma Mater:南京航空航天大学
Education Level:With Certificate of Graduation for Doctorate Study
Degree:Doctoral Degree in Engineering
School/Department:College of Energy and Power Engineering
Discipline:Aerospace Propulsion Theory and Engineering. Power Machinery and Engineering
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