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随机行走算法研究及其在电源/地线网络瞬态优化中的应用

In-depth Experimental Study of Random Walk and its Application for Power/Ground Network Transient Optimization

  • 摘要: 实验分析了电源/地线(P/G)网络的随机行走算法,与传统的预优共轭梯度法比较发现,当随机行走求解较少节点时性能较好,但在大规模P/G网络瞬态分析中相对较慢.通过修改随机行走过程进行伴随网络的瞬态分析,提出一种快速计算灵敏度的算法.实验结果表明,该算法计算时间较短,与精确结果误差较小.

     

    Abstract: Experimental study was conducted on random walk algorithm for power/ground(P/G) network.Compared with the traditional PCG approach,random walk is much faster when solving several nodes,but it is slow for transient analysis of huge P/G network.By analyzing the adjoint network using the modified random walk process,a new method is proposed for P/G network sensitivity computing.The experimental results show that the runtime of our proposed method is fast and the relative error is acceptable.

     

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