DocumentCode :
2764643
Title :
Algebraic method for calculating symbolic network functions of large electronic networks
Author :
Pierzchala, Marian ; Rodanski, B.
Author_Institution :
Hilmar Ltd., Wroclaw, Poland
Volume :
2
fYear :
1994
fDate :
3-5 Aug 1994
Firstpage :
1319
Abstract :
In this paper we describe an algebraic method for determining the symbolic network functions of large electronic networks. The method is based on the Laplace theorem and a new technique for decomposition of the node admittance matrix. We will show that the problem of decomposition of large-scale network can be efficiently solved using the maximum neural network
Keywords :
Laplace equations; electric admittance; matrix decomposition; network analysis; Laplace theorem; algebraic method; decomposition; large electronic networks; maximum neural network; node admittance matrix; symbolic network functions; Active matrix technology; Admittance; Electronic circuits; Heuristic algorithms; Large-scale systems; Matrix decomposition; Neural networks; Partitioning algorithms; Sparse matrices; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
Type :
conf
DOI :
10.1109/MWSCAS.1994.519052
Filename :
519052
Link To Document :
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