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A NONLINEAR ELIMINATION PRECONDITIONED INEXACT NEWTON ALGORITHM

delete2022-06-21
delete3
PRE
AI
F
Feng‐Nan Hwang
L
Li Luo
X
Xiao‐Chuan Cai
D
David E. Keyes
DOI:10.1137/21M1416138delete
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Abstract

Abstract

En 中文
A nonlinear elimination preconditioned inexact Newton (NEPIN) algorithm is proposed for problems with localized strong nonlinearities. Due to unbalanced nonlinearities (nonlinear stiffness), the traditional inexact Newton method often exhibits a long plateau in the norm of the nonlinear residual or even fails to converge. NEPIN implicitly removes the components causing trouble for the global convergence through a correction based on nonlinear elimination within a subspace that provides a modified direction for the global Newton iteration. Numerical experiments show that NEPIN can be more robust than global inexact Newton algorithms and maintain fast convergence even for challenging problems, such as full potential transonic flows. NEPIN complements several previously studied nonlinear preconditioners with which it compares favorably experimentally on a classic shocked duct flow problem considered herein. NEPIN is shown to be fairly insensitive to mesh resolution and bad subproblem identification based on the local Mach number or the local nonlinear residual for transonic flow over a wing.
Keywords:
nonlinear elimination
inexact Newton method
domain decomposition
nonlinear equations
full potential equation

Journal

SIAM Journal on Scientific Computing cover
SIAM Journal on Scientific Computing
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2.6
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5.1K
Citations:
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K
king abdullah university of science & technology
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Papers: 1.3W
Citations: 32
N
National Central University
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Papers: 8.5K
Citations: 6.4K
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University of Macau
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