DocumentCode :
2353259
Title :
Improving analog simulation speed using selective matrix update
Author :
Kher, Sameer S. ; Carter, Harold W.
Author_Institution :
Distributed Process. Lab., Cincinnati Univ., OH, USA
fYear :
2003
fDate :
7-8 Oct. 2003
Firstpage :
97
Lastpage :
101
Abstract :
Dynamic systems of nonlinear differential algebraic equations (DAE) are used to model a large class of engineering and biological systems. The two most time consuming processes in the direct method for analysis of nonlinear DAE sets are found to be the Jacobian matrix formulation and the linear system solution. Methods are presented here to significantly reduce Jacobian matrix formulation times, and hence improve simulation speeds, by selective update of the Jacobian matrix.
Keywords :
Jacobian matrices; Newton-Raphson method; SPICE; analogue circuits; analogue simulation; nonlinear differential equations; Jacobian matrix formulation; analog simulation speed; biological system; dynamic system; engineering system; linear system solution; nonlinear differential algebraic equation; selective matrix update; Analytical models; Biological system modeling; Circuit simulation; Difference equations; Differential algebraic equations; Distributed processing; Jacobian matrices; Linear systems; Performance analysis; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Behavioral Modeling and Simulation, 2003. BMAS 2003. Proceedings of the 2003 International Workshop on
Print_ISBN :
0-7803-8135-1
Type :
conf
DOI :
10.1109/BMAS.2003.1249865
Filename :
1249865
Link To Document :
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