By applying the minimal residual technique to the Hermitian and skew-Hermitian (HSS) iteration scheme, we introduce a non-stationary iteration method named minimal residual Hermitian and skew-Hermitian (MRHSS) iteration method to solve the continuous Sylvester equation. Numerical results verify the effectiveness and robustness of the MRHSS iteration method versus the HSS method for the continuous Sylvester equation. Moreover, by numerical computation, we show that the MRHSS splitting can be used as a splitting preconditioner and induce accurate, robust and effective preconditioned Krylov subspace iteration methods for solving the continuous Sylvester equation.
翻译:通过对Hermitian和Skew-Hermitian(HSS)迭代法应用最低限度残缺技术,我们采用了一种非静止迭代法,称为最低限度残留的Hermitian和Skew-Hermitian(MRHSS)迭代法,以解决连续的Sylvester等式。数字结果验证了MRHSS迭代法相对于连续的Sylvester等式的HSS法的有效性和稳健性。此外,通过数字计算,我们证明MRHSS的分割法可以用作分裂的先决条件,并引出精确、稳健和有效的、有先决条件的Krylov次空间迭代法,解决连续的Sylvester等式。