2009 IEEE Workshop on Signal Propagation on Interconnects 2009
DOI: 10.1109/spi.2009.5089834
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Fast analysis of power distribution networks using waveform relaxation

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Cited by 4 publications
(5 citation statements)
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“…Xie, J. Guo, and F. Canavero proposed the Jacobi-DARIT-field method [7] for the field-wire coupling analysis. Based on the Waveform Relaxation and Transverse Partitioning (WR-TP, [8]- [24]) algorithm, this method adopts an analytical Jacobi iterative way. Therefore, the high computational efficiency and good simulation accuracy could be obtained after only a few iteration steps in most situations such as in the case of interconnected lines on PCB.…”
Section: Introductionmentioning
confidence: 99%
“…Xie, J. Guo, and F. Canavero proposed the Jacobi-DARIT-field method [7] for the field-wire coupling analysis. Based on the Waveform Relaxation and Transverse Partitioning (WR-TP, [8]- [24]) algorithm, this method adopts an analytical Jacobi iterative way. Therefore, the high computational efficiency and good simulation accuracy could be obtained after only a few iteration steps in most situations such as in the case of interconnected lines on PCB.…”
Section: Introductionmentioning
confidence: 99%
“…In this chapter, a novel algorithm for sensitivity analysis of power distribution networks has been presented. The proposed method is an extension of the parallel Gauss-Seidel waveform relaxation technique proposed for transient analysis in [1][2][3].…”
Section: Discussionmentioning
confidence: 99%
“…In this section, the proposed parallel time-domain sensitivity analysis algorithm for power grids is presented. The new algorithm extends the waveform relaxation techniques for transient analysis [1][2][3] to the sensitivity analysis for the power grid problem, by appropriately partitioning the power grid circuit into smaller subcircuits. The proposed parallel algorithm for sensitivity analysis is similar to the parallel transient analysis algorithm proposed in [1][2][3], with some changes needed for the sensitivity analysis for power grids.…”
Section: Grid Network Via Waveform Relaxationmentioning
confidence: 99%
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