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Autor: =Markowich, P.
Sólo un registro cumplió la condición especificada en la base de información BIBCYT.
Publicación seriada
Referencias AnalíticasReferencias Analíticas
Autor: Ascher, U. ; Markowich, P. ; Weiss, R. ; Schmeiser, C. ; Steinrück, H.
Título: Conditioning of the Steady State Semiconductor Device Problem
Páginas/Colación: pp. 165-185
Url: Ir a http://locus.siam.org/SIAP/volume-49/art_0149010.htmlhttp://locus.siam.org/SIAP/volume-49/art_0149010.html
SIAM Journal on Applied Mathematics Vol. 49, no. 1 February 1989
Información de existenciaInformación de existencia

Palabras Claves: Palabras: CONDITIONING CONDITIONING, Palabras: NONLINEAR ITERATION NONLINEAR ITERATION, Palabras: SEMICONDUCTOR DEVICE SIMULATION SEMICONDUCTOR DEVICE SIMULATION, Palabras: STEADY STATE PROBLEM STEADY STATE PROBLEM

Resumen

RESUMEN

Principio del formulario

When solving numerically the steady state semiconductor device problem using appropriate discretizations, extremely large condition numbers are often encountered for the linearized discrete device problem. These condition numbers are so large that, if they represented a sharp bound on the amplification of input errors, or even of roundofi errors, then the obtained numerical solution would be meaningless. As it turns out, one major reason for these large numbers is poor row and column scaling, which is essentially harmless and/or can be fixed. Another reason could be an ill-conditioned device, which yields a true loss of significant digits in the numerical calculation. In this paper a conditioning analysis for the steady state device problem is carried out. Various quasilinearizations as well as Gummel-type iterations are considered and stability bounds that may indeed allow ill-conditioning in general are obtained. These bounds are exponential in the potential variation, and are sharp, e.g., for a thyristor. But for devices where each smooth subdomain has an Ohl is contact, e.g., a pn-diode, moderate bounds guaranteeing well-conditioning are obtained. Moreover, the analysis suggests how various row and column scalings should be applied in order for the measured condition numbers to correspond more realistically to the true loss of significant digits in the calculations.

 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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