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Convergence acceleration of iterative algorithms. Applications to thin shell analysis and Navier-Stokes equations

机译:迭代算法的收敛加速。在薄壳分析和Navier-Stokes方程中的应用

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This work deals with the convergence acceleration of iterative nonlinear methods. Two convergence accelerating techniques are evaluated: the Modified Mininal Polynomial Extrapolation Method (MMPE) and the Pade approximants. The algorithms studied in this work are iterative correctors: Newton's modified method, a high-order iterative corrector presented in Damil et al. (Commun Numer Methods Eng 15:701-708, 1999) and an original algorithm for vibration of viscoelastic structures. We first describe the iterative algorithms for the considered nonlinear problems. Secondly, the two accelerating techniques are presented. Finally, through several numerical tests from the thin shell theory, Navier-Stokes equations and vibration of viscoelastic shells, the advantages and drawbacks of each accelerating technique is discussed.
机译:这项工作涉及迭代非线性方法的收敛加速。评估了两种收敛加速技术:改进的最小多项式外推法(MMPE)和Pade近似值。在这项工作中研究的算法是迭代校正器:Damil等人提出的牛顿改进方法,一种高阶迭代校正器。 (Commun Numer Methods Eng 15:701-708,1999)和用于粘弹性结构振动的原始算法。我们首先描述考虑非线性问题的迭代算法。其次,介绍了两种加速技术。最后,通过薄壳理论,Navier-Stokes方程和粘弹性壳的振动的几次数值试验,讨论了每种加速技术的优缺点。

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