DocumentCode :
2355212
Title :
Notes on polynomial selection for piecewise polynomial model order reduction [nonlinear systems]
Author :
Balk, Igor
Author_Institution :
R3 Logic, Somerville, MA, USA
fYear :
2003
fDate :
27-29 Oct. 2003
Firstpage :
177
Lastpage :
180
Abstract :
Modern trends in simulation of large microelectronics systems has introduced the necessity for development of fast and robust nonlinear model order algorithms. This paper discusses polynomial selection in conjunction with piecewise polynomial model order reduction. The advantage of mean value convergence over pointwise convergence is shown in respect to input function expansion.
Keywords :
convergence of numerical methods; nonlinear network analysis; piecewise polynomial techniques; polynomials; reduced order systems; Hermite polynomial expansion; input function expansion; mean value convergence; microelectronics system simulation; nonlinear model order algorithm; piecewise polynomial model order reduction; pointwise convergence; polynomial selection; Convergence; Electronic mail; H infinity control; Linear systems; Logic; Nonlinear systems; Polynomials; Power system modeling; Taylor series; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Performance of Electronic Packaging, 2003
Conference_Location :
Princeton, NJ, USA
Print_ISBN :
0-7803-8128-9
Type :
conf
DOI :
10.1109/EPEP.2003.1250026
Filename :
1250026
Link To Document :
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