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Maximum entropy quantile estimation and dual optimization method
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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

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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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