An Improved Newton Method Based on Choosing Initial Guess Applied to Scalar Formulation in Nonlinear Magnetostatics

被引：4

作者：

Cherif, Riheb ^{[1
]}

Tang, Zuqi ^{[1
]}

Guyomarch, Frederic ^{[1
]}

Chevalier, Lok ^{[1
]}

Le Menach, Yvonnick ^{[1
]}

机构：

[1] Univ Lille, Arts & Metiers Paris Tech, Cent Lille, HEI,EA 2697 L2EP, F-59000 Lille, France

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2019年 / 55卷 / 06期

关键词：

Finite element (FE) method; initial guess; Newton methods; nonlinear magnetostatic problems; RAPHSON METHOD; CONVERGENCE;

D O I：

10.1109/TMAG.2019.2898416

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An improved starting point Newton method applied to 3-D scalar formulation in magnetostatics is proposed in this paper. Compared with the classical Newton method, the inexact-Newton and quasi-Newton methods are reported by testing on a benchmark problem as well as an industrial example. Remarkable convergence acceleration using the proposed strategy is observed, and thus, it significantly reduces the computational time.

引用

页数：4

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