Bodendiek/CurlCurl_1

Curl-Curl operator of 2nd order Maxwell's equations, A. Bodendiek
Name CurlCurl_1
Group Bodendiek
Matrix ID 2570
Num Rows 226,451
Num Cols 226,451
Nonzeros 2,472,071
Pattern Entries 2,472,071
Kind Model Reduction Problem
Symmetric Yes
Date 2012
Author A. Bodendiek
Editor T. Davis
Structural Rank 226,451
Structural Rank Full true
Num Dmperm Blocks 1
Strongly Connect Components 1
Num Explicit Zeros 0
Pattern Symmetry 100%
Numeric Symmetry 100%
Cholesky Candidate yes
Positive Definite no
Type real
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Notes
Curl-Curl operator of 2nd order Maxwell's equations, A. Bodendiek    
                                                                     
From Andre Bodendiek, Institut Computational Mathematics,            
TU Braunschweig                                                      
                                                                     
The following matrix collection consists of the curl-curl-operator   
of a second-order Maxwell's equations with PEC boundary conditions,  
i.e. E x n = 0, where E and n denote the electric field strength     
and the unit outer normal of the computational domain. The           
curl-curl-operator has been discretized using the Finite Element     
Method with first-order Nedelec elements resulting in the weak       
formulation                                                          
                                                                     
   1/mu0 ( curl E, curl v ),                                         
                                                                     
where v resembles a test function of H(curl) and                     
mu0 = 1.25 1e-9 H / mm denotes the magnetic permeability of vacuum,  
see [Hipt02].                                                        
                                                                     
In general, the underlying model problem of Maxwell's equations      
results from a Coplanar Waveguide, which will be considered for      
the analysis of parasitic effects in the development of new          
semiconductors. Since the corresponding dynamical systems are often  
high-dimensional, model order reduction techniques have become an    
appealing approach for the efficient simulation and accurate analysis
of the parasitic effects. However, different kinds of model order    
techniques require the repeated solution of high-dimensional linear  
systems of the original model problem, see [Bai02,An09]. Therefore,  
the development of efficient solvers resembles an important task     
in model order reduction.                                            
                                                                     
Each matrix CurlCurl_<nr> consists of a different number of degrees  
of freedom, given in the following table:                            
                                                                     
<nr> = 0:   11083                                                    
<nr> = 1:  226451                                                    
<nr> = 2:  806529                                                    
<nr> = 3: 1219574                                                    
<nr> = 4: 2380515                                                    
                                                                     
References.                                                          
                                                                     
@ARTICLE{Bai02,                                                      
  author = {Z. Bai},                                                 
  title = {Krylov subspace techniques for reduced-order modeling     
    of large-scale dynamical systems},                               
  journal = {Applied Numerical Mathematics},                         
  year = {2002},                                                     
  volume = {43},                                                     
  pages = {9--44},                                                   
  number = {1--2}                                                    
}                                                                    
                                                                     
@ARTICLE{Hipt02,                                                     
  author = {R. Hiptmair},                                            
  title = {Finite elements in computational electromagnetism},       
  journal = {Acta Numerica, Cambridge University Press},             
  year = {2002},                                                     
  pages = {237-339}                                                  
}                                                                    
                                                                     
@BOOK{An09,                                                          
  title = {Approximation of {L}arge-{S}cale {D}ynamical {S}ystems},  
  publisher = {Society for Industrial Mathematics},                  
  year = {2009},                                                     
  author = {Athanasios C. Antoulas}                                  
}