The product hybrid GMRES algorithm can be taken as a left preconditioning technique for solving linear systems.
积混合gmres算法可以看成是一种左端多项式预处理技术。
However, it is possible to show that the restarted GMRES methods, GMRES mis some fixed integer parameter, may be stationary.
然而，可以证明再开始的GMRES算法：GMRES (m)，有可能发生停滞，这里m为某一固定的整数。
The algebraic equation from the dual boundary integral equations(DBIE) was solved using the generalized minimum residual method(GMRES).
基于对偶边界积分方程（DBIE）构造代数方程组，采用广义极小残值迭代法（GMRES）求解。
An implementation of GMRES (m) algorithm which is very important to solve the problem of asymmetric large linear systems is accomplished.
一个解决大型非对称线性问题的重要算法GM - RES (m)算法就在这个平台上实现。
The outer iteration of this method is the classical Newton method, and the inner iteration is using GMRES to solve Jacobi equations inexactly.
该方法的外迭代为经典牛顿法，内迭代为用GMRES法不精确求解雅可比方程。
Some nonstationary Iterative methods for large linear systems in MATLAB are introduced in this paper. We also introduce the mathematic description of the GMRES method.
本文介绍了MATLAB中求解大型线性方程组常用的非定常迭代法，并以GMRES算法为例介绍了算法的数学描述。
The nonsymmetric and linear equations from the discrete solution are solved by using block tridiagonal systems for the QPNS equations and by GMRES algorithm for the FNS equations.
由离散解得到的非对称线性方程组，对于QPNS采用块三对角法，对于FNS采用GMRES算法。
Combining a posterior rules with error-known in outer regularization and error-free rules in inner regularization with GMRES, a kind of double regularized GMRES methods are proposed.
将GMRES和不同的正则化参数选取准则相结合—外层应用已知误差水平的后验选取、内层应用未知误差水平准则，提出一类双层正则化gmres方法。
Combining a posterior rules with error-known in outer regularization and error-free rules in inner regularization with GMRES, a kind of double regularized GMRES methods are proposed.
将GMRES和不同的正则化参数选取准则相结合—外层应用已知误差水平的后验选取、内层应用未知误差水平准则，提出一类双层正则化gmres方法。
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