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CONVERGENCE ANALYSIS OF PROJECTION METHODS FOR THE NUMERICAL SOLUTION OF LARGE LYAPUNOV EQUATIONS

机译:大Lyapunov方程数值解的投影方法的收敛性分析

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摘要

The numerical solution of large-scale continuous-time Lyapunov matrix equations is of great importance in many application areas. Assuming that the coefficient matrix is positive definite, but not necessarily symmetric, in this paper we analyze the convergence of projection-type methods for approximating the solution matrix. Under suitable hypotheses on the coefficient matrix, we provide new asymptotic estimates for the error matrix when a Galerkin method is used in a Krylov subspace. Numerical experiments confirm the good behavior of our upper bounds when linear convergence of the solver is observed.
机译:大规模连续时间Lyapunov矩阵方程的数值解在许多应用领域中具有重要意义。假设系数矩阵是正定的,但不一定是对称的,在本文中,我们分析了逼近解矩阵的投影型方法的收敛性。在系数矩阵的适当假设下,当在Krylov子空间中使用Galerkin方法时,我们为误差矩阵提供了新的渐近估计。当观察到求解器的线性收敛时,数值实验证实了我们上限的良好行为。

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