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Recycling Krylov Subspaces for Solving Linear Systems with Successively Changing Right-hand Sides Arising in Model Reduction

机译:回收Krylov子空间以求解线性系统,并在模型简化中产生连续变化的右侧

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We discuss the numerical solution of successive linear systems of equations Ax = b_i, i = 1,2,..., m, by iterative methods based on recycling Krylov subspaces. We propose various recycling algorithms which are based on the generalized conjugate residual (GCR) method. The recycling algorithms reuse the descent vectors computed while solving the previous linear systems Ax = bj, j= 1,2,...,/— 1, such that a lot of computational work can be saved when solving the current system Ax — b,. The proposed algorithms are robust for solving sequences of linear systems arising in circuit simulation. Sequences of linear systems need to be solved, e.g., in model order reduction (MOR) for systems with many terminals. Numerical experiments illustrate the efficiency and robustness of the proposed method.
机译:我们通过基于循环Krylov子空间的迭代方法,讨论了方程Ax = b_i,i = 1,2,...,m的连续线性系统的数值解。我们提出了基于通用共轭残差(GCR)方法的各种回收算法。循环算法可重复使用求解先前线性系统Ax = bj,j = 1,2,...,/-1时所计算的下降向量,从而在求解当前系统Ax_b时可节省大量计算工作,。所提出的算法对于求解电路仿真中产生的线性系统的序列是鲁棒的。线性系统的序列需要解决,例如,对于具有多个终端的系统,以模型降阶(MOR)进行求解。数值实验表明了该方法的有效性和鲁棒性。

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