SRP: a relaxation-based circuit simulator with error-collecting-learning method by adaptive virtual capacitors

Author

Chigusa, Yasutami ; Asai, Masami ; Tanaka, Mamoru

Author_Institution

Dept. of Electr. & Electron. Eng., Sophia Univ., Tokyo, Japan

fYear

1989

Firstpage

1149

Abstract

The SRP version 3 circuit simulator is proposed to select two relaxation-based algorithms of the Gauss-Seidel method (GSM) for von Neumann type computers and the Gauss-Jacobi method for parallel or neural computers. SRP version 3 has been programmed by UNIX C language on a Sun 3/60 engineering workstation. Adaptive virtual capacitors, fundamental cutset equations, and an error-collecting learning method are discussed. Simulation results based on both algorithms are given for a TTL inverter chain

Keywords

C language; circuit CAD; digital simulation; engineering workstations; learning systems; Gauss-Jacobi method; Gauss-Seidel method; SRP; Sun 3/60 engineering workstation; TTL inverter chain; UNIX C language; adaptive virtual capacitors; cutset equations; error-collecting-learning method; neural computers; parallel computers; relaxation-based circuit simulator; von Neumann type computers; Capacitors; Circuit simulation; Computational modeling; Computer simulation; Concurrent computing; Equations; GSM; Gaussian processes; Sun; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1989., IEEE International Symposium on

Conference_Location

Portland, OR

Type

conf

DOI

10.1109/ISCAS.1989.100556

Filename

100556