The Modified Multilevel Newton Algorithm for the Analysis of Large Scale Circuits in the Time Domain

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The Modified Multilevel Newton Algorithm for the Analysis of Large Scale Circuits in the Time Domain

更新时间：2025-12-08

- The Modified Multilevel Newton Algorithm for the Analysis of Large Scale Circuits in the Time Domain
- Acta Electronica Sinica Issue 4, Pages: 68-73(1987)
- 作者机构：
  
  南京工学院
- 作者简介：
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- Published：1987
- 稿件说明：
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[1]彭沛.适用于大规模电路时域分析的改进多级牛顿算法[J].电子学报,1987(04):68-73.

Peng pei. The Modified Multilevel Newton Algorithm for the Analysis of Large Scale Circuits in the Time Domain[J]. Acta Electronica Sinica, 1987, (4): 68-73.
[1]彭沛.适用于大规模电路时域分析的改进多级牛顿算法[J].电子学报,1987(04):68-73. DOI：

Peng pei. The Modified Multilevel Newton Algorithm for the Analysis of Large Scale Circuits in the Time Domain[J]. Acta Electronica Sinica, 1987, (4): 68-73. DOI：

摘要

Rabbat、Sangiovanni和Hsieh提出了适用于大规模非线性电路时域分析的多级牛顿算法（MLNA）。本文对MLNA提出两个改进:1.用子网络的端点电压作为子网络的激励。2.使用灵敏度网络求取子网络对雅可比矩阵的贡献。从而节省了建立雅可比矩阵的时间。

Abstract

Rabbat

Sangiovanni and Hsieh proposed a Multilevel Newton Algorithm （MLNA） for analysis of large scale nonlinear circuits in the time domain.In this parper two techniques of improving MLNA are presented: 1.Using terminal voltage of subnetwork as stimuli of the subnetwork.2.Evaluating the subnetwork contribution in Jacobian matrix by analysing the sensitivity network.The proposed techniques considerably save the time for establishing jacobian matrix.

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