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A new parameter-free method for Toeplitz systems of weakly nonlinear equations

机译:一种弱非线性方程的脚趾系统的一种新的可参数方法

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摘要

Based on the fact that the linear term is strongly dominant over the nonlinear term, by using the approximate inverse-free preconditioned conjugate gradient (AIPCG) iteration technique, we establish the Picard-AIPCG iteration method to solve Toeplitz systems of weakly nonlinear equations. Since the storage and the accurate computation of Jacobian matrix are not necessary in this method and the only need is to solve the constant Toeplitz sub-systems, there may be a great saving in computer storage and calculation workload when facing the practical problems. The global convergence has been proved under some suitable conditions. Some numerical examples demonstrate the feasibility and effectiveness of this new iteration. (c) 2021 Elsevier B.V. All rights reserved.
机译:基于线性项强支配非线性项的事实,利用近似无逆预条件共轭梯度(AIPCG)迭代技术,建立了求解弱非线性方程组Toeplitz方程组的Picard-AIPCG迭代方法。由于该方法不需要雅可比矩阵的存储和精确计算,只需求解常数Toeplitz子系统,因此在实际问题中可以大大节省计算机存储和计算工作量。在适当的条件下,证明了算法的全局收敛性。数值算例证明了这种新迭代的可行性和有效性。(c)2021爱思唯尔B.V.保留所有权利。

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