DocumentCode :
934164
Title :
On exponential fitting for circuit simulation
Author :
Silveira, Luís Miguel ; White, Jacob K. ; Neto, Horácio ; Vidigal, Luís
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., MIT, Cambridge, MA, USA
Volume :
11
Issue :
5
fYear :
1992
fDate :
5/1/1992 12:00:00 AM
Firstpage :
566
Lastpage :
574
Abstract :
The stability and accuracy properties of exponentially fit integration algorithms applied to the test problem x˙=-Ax are compared with the more standard backward-Euler and semi-implicit methods. For the analysis, A∈IRn×n is assumed to be connectedly diagonally dominant with positive diagonals, as this models the equations resulting from the way MOS transistors and interconnect parasitics are treated in circuit-level timing simulation programs. Examples are used to demonstrate that all the exponential-fitting methods, and the semi-implicit methods, are much less accurate than backward-Euler for tightly coupled stiff problems, and an example is given which destabilizes one of the exponential-fitting methods. It is then proved that in the limit of large time steps, the more stable exponential-fitting methods become equivalent to a semi-implicit algorithm. It is shown that the backward-Euler, semi-implicit, and certain exponentially fit algorithms are multirate A-stable
Keywords :
circuit analysis computing; MOS transistors; backward Euler methods; circuit simulation; circuit-level timing simulation programs; exponential-fitting methods; exponentially fit integration algorithms; interconnect parasitics; multirate methods; semi-implicit methods; tightly coupled stiff problems; Associate members; Circuit simulation; Computational modeling; Differential equations; Digital circuits; Integrated circuit interconnections; Jacobian matrices; SPICE; State estimation; Timing;
fLanguage :
English
Journal_Title :
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0070
Type :
jour
DOI :
10.1109/43.127618
Filename :
127618
Link To Document :
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