Exploring the exponential integrators with Krylov subspace algorithms for nonlinear circuit simulation

Xinyuan Wang, Hao Zhuang, Chung-Kuan Cheng
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引用次数: 5

Abstract

We explore Krylov subspace algorithms to calculate ϕ functions of exponential integrators for circuit simulation. Higham [1] pointed out the potential numerical stability risk of ϕ functions computation. However, for the applications to circuit analysis, the choice of methods remains open. This work inspects the accuracy of matrix exponential and vector product with Krylov subspace methods, and identifies the proper approach to achieving numerically stable solutions for nonlinear circuits. Empirial results verify the quality of the proposed methods using various orders of ϕ functions. Furthermore, instead of Newton-Raphson (NR) iterations in conventional methods, an iterative residue correction algorithm is devised for nonlinear system analysis. The stability and efficiency of our methods are illustrated with experiments.
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利用Krylov子空间算法探索非线性电路仿真中的指数积分器
我们探索了Krylov子空间算法来计算电路仿真中指数积分器的ϕ函数。Higham[1]指出了φ函数计算的潜在数值稳定性风险。然而,对于电路分析的应用,方法的选择仍然是开放的。本文用Krylov子空间方法检验了矩阵指数和向量积的准确性,并确定了实现非线性电路数值稳定解的适当方法。实验结果验证了使用不同阶的ϕ函数所提出方法的质量。在此基础上,提出了一种基于迭代残差校正的非线性系统分析算法,取代了传统方法中的牛顿-拉夫森迭代法。实验证明了该方法的稳定性和有效性。
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