Math methods in transistor modeling: Condition numbers for parameter extraction

1998 ◽  
Vol 46 (9) ◽  
pp. 1313-1314 ◽  
Author(s):  
F.D. King ◽  
P. Winson ◽  
A.D. Snider ◽  
L. Dunleavy ◽  
D.P. Levinson
Keyword(s):  
Parameter Extraction ◽  
Condition Numbers ◽  
Modeling Condition

The condition numbers arising in MESFET parameter extraction

2002 ◽  
Author(s):  
F.D. King ◽  
P. Winson ◽  
A.D. Snider ◽  
L. Dunleavy ◽  
D.P. Levinson
Keyword(s):  
Parameter Extraction ◽  
Condition Numbers

scholarly journals Device Parameter Extraction for Loss Analysis of Silicon Solar Cells Based on Intelligent Model Fitting

2018 ◽  
Vol 150 ◽  
pp. 21-27 ◽  
Author(s):  
Jian Wei Ho ◽  
Johnson Wong ◽  
Percis Teena Christopher Subhodayam ◽  
Kwan Bum Choi ◽  
Divya Ananthanarayanan ◽  
...  
Keyword(s):  
Solar Cells ◽  
Model Fitting ◽  
Parameter Extraction ◽  
Silicon Solar Cells ◽  
Loss Analysis ◽  
Device Parameter ◽  
Intelligent Model

FIT/PVL circuit-parameter extraction for general electromagnetic devices

2000 ◽  
Vol 36 (4) ◽  
pp. 1421-1425 ◽  
Author(s):  
D. Ioan ◽  
T. Weiland ◽  
T. Wittig ◽  
I. Munteanu
Keyword(s):  
Parameter Extraction ◽  
Circuit Parameter ◽  
Electromagnetic Devices

An Adaptive Combined Preconditioner with Applications in Radiation Diffusion Equations

2015 ◽  
Vol 18 (5) ◽  
pp. 1313-1335 ◽  
Author(s):  
Xiaoqiang Yue ◽  
Shi Shu ◽  
Xiao wen Xu ◽  
Zhiyang Zhou
Keyword(s):  
Convergence Analysis ◽  
Estimation Theory ◽  
Numerical Results ◽  
Diffusion Equations ◽  
Condition Numbers ◽  
Radiation Diffusion ◽  
Discrete Problems ◽  
Preconditioned Gmres

AbstractThe paper aims to develop an effective preconditioner and conduct the convergence analysis of the corresponding preconditioned GMRES for the solution of discrete problems originating from multi-group radiation diffusion equations. We firstly investigate the performances of the most widely used preconditioners (ILU(k) and AMG) and their combinations (Bco and Bco), and provide drawbacks on their feasibilities. Secondly, we reveal the underlying complementarity of ILU(k) and AMG by analyzing the features suitable for AMG using more detailed measurements on multiscale nature of matrices and the effect of ILU(k) on multiscale nature. Moreover, we present an adaptive combined preconditioner Bcoα involving an improved ILU(0) along with its convergence constraints. Numerical results demonstrate that Bcoα-GMRES holds the best robustness and efficiency. At last, we analyze the convergence of GMRES with combined preconditioning which not only provides a persuasive support for our proposed algorithms, but also updates the existing estimation theory on condition numbers of combined preconditioned systems.

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