riccti型矩阵方程的迭代和加倍算法:比较介绍

Q1 Mathematics GAMM Mitteilungen Pub Date : 2020-10-08 DOI:10.1002/gamm.202000018
Federico Poloni
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引用次数: 0

摘要

我们回顾了李雅普诺夫和里卡蒂型方程的一系列算法,它们都是通过加倍的思想相互关联的:它们构造迭代Q k = X 2k另一个自然产生的不动点迭代(Xh)通过一种重复平方。我们考虑的方程是Stein方程X−A∗X A = Q, Lyapunov方程A * X + X A + Q = 0,离散时间代数Riccati方程X = Q + A∗X(I + G X)−1A,连续时间代数Riccati方程Q + A∗X + X A−X G X = 0,回文二次矩阵方程A + Q Y + A∗Y2 = 0,以及非线性矩阵方程X + A∗X−1A = Q。我们对这些算法进行了比较,强调了它们与其他算法(如子空间迭代)之间的联系,并讨论了它们理论中的开放问题。
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Iterative and doubling algorithms for Riccati-type matrix equations: A comparative introduction

We review a family of algorithms for Lyapunov- and Riccati-type equations which are all related to each other by the idea of doubling: they construct the iterate Q k = X 2 k of another naturally-arising fixed-point iteration (Xh) via a sort of repeated squaring. The equations we consider are Stein equations X − A X A = Q, Lyapunov equations A X + X A + Q = 0, discrete-time algebraic Riccati equations X = Q + A X(I + G X)−1A, continuous-time algebraic Riccati equations Q + A X + X A − X G X = 0, palindromic quadratic matrix equations A + Q Y + AY2 = 0, and nonlinear matrix equations X + A X−1A = Q. We draw comparisons among these algorithms, highlight the connections between them and to other algorithms such as subspace iteration, and discuss open issues in their theory.

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来源期刊
GAMM Mitteilungen
GAMM Mitteilungen Mathematics-Applied Mathematics
CiteScore
8.80
自引率
0.00%
发文量
23
期刊最新文献
Issue Information Regularizations of forward-backward parabolic PDEs Parallel two-scale finite element implementation of a system with varying microstructure Issue Information Low Mach number limit of a diffuse interface model for two-phase flows of compressible viscous fluids
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