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THE QUASI-MINIMAL RESIDUAL ALGORITHM APPLIED TO COMPLEX SYMMETRIC LINEAR SYSTEMS IN QUANTUM REACTIVE SCATTERING

机译:量子反应散射中复杂对称线性系统的拟最小残差算法

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The solution of systems of linear equations Ax=b with complex symmetric coefficient matrix A of size N, typically appearing in quantum-reactive scattering problems, is discussed. The quasiminimal residual (QMR) method is introduced to solve the complex symmetric linear system and is compared to the generalized minimal residual (GMRES) method. The methods are applied to two different chemical problems: the initial state-selected reaction probability for the H-2+OH-->H +H2O reaction, and the cumulative reaction probability for the isomerization of ketene, both with N>10(4). It is shown that the QMR method behaves more favorably, i.e., converges faster, than the GMRES for large N, especially when high accuracy is needed. (C) 1995 American Institute of Physics. [References: 21]
机译:讨论了线性方程组Ax = b的对称对称矩阵A的大小为N的系统的求解,该系统通常出现在量子反应散射问题中。引入了拟最小残差(QMR)方法来求解复杂的对称线性系统,并将其与广义最小残差(GMRES)方法进行了比较。该方法适用于两个不同的化学问题:H-2 + OH-> H + H2O反应的初始状态选择反应概率,以及乙烯酮异构化的累积反应概率,均大于N(10(4) )。结果表明,对于较大的N值,QMR方法的行为比GMRES更为有利,即收敛速度更快,尤其是在需要高精度的情况下。 (C)1995年美国物理研究所。 [参考:21]

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