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SPEEDINGUP OF CONVERGENCE OF GUMMEL ITERATIONS FOR TRANSIENT SIMULATION

SPEEDINGUP OF CONVERGENCE OF GUMMEL ITERATIONS FOR TRANSIENT SIMULATION Enhanced efficiency of the proposed modification of the Gummel decoupled method enables significant reduction of memory requirements in comparison to the conventionally used Newtonlike methods with approximately equal CPU time expense. For 10,000 mesh nodes it only requires 4.4 Mbytes of virtual memory compare to 62 Mbytes for PISCES2B. The method exhibits good stability and convergence rate and has significant advantages compared to the other often used halfimplicit scheme. Low memory requirements and efficiency make the method attractive for future 3D applications. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering Emerald Publishing

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References (4)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
0332-1649
DOI
10.1108/eb051806
Publisher site
See Article on Publisher Site

Abstract

Enhanced efficiency of the proposed modification of the Gummel decoupled method enables significant reduction of memory requirements in comparison to the conventionally used Newtonlike methods with approximately equal CPU time expense. For 10,000 mesh nodes it only requires 4.4 Mbytes of virtual memory compare to 62 Mbytes for PISCES2B. The method exhibits good stability and convergence rate and has significant advantages compared to the other often used halfimplicit scheme. Low memory requirements and efficiency make the method attractive for future 3D applications.

Journal

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic EngineeringEmerald Publishing

Published: Apr 1, 1993

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