A novel method for the numerical solution of a hybrid inverse problem of electrical conductivity imaging
    
    
  
  
  
      
      
      
        
Zapiski Nauchnykh Seminarov POMI, Investigations on applied mathematics and informatics. Part I, Tome 499 (2021), pp. 105-128
    
  
  
  
  
  
    
      
      
        
      
      
      
    Voir la notice de l'article provenant de la source Math-Net.Ru
            
              			A novel method for the numerical solution of a hybrid (coupled physics) inverse problem is proposed. Based on a regularized weighted mean curvature flow equation, this method can be considered as an alternative to the variational approach to solving weighted least gradient Dirichlet problems arising in electrical conductivity imaging, in particular, in Current Density Impedance Imaging (CDII). Utilizing the Sternberg-Ziemer arguments, convergence of regularized solutions to a unique function of weighted least gradient is established. The numerical convergence study is also conducted to demonstrate the computational effectiveness of the proposed method.
			
            
            
            
          
        
      @article{ZNSL_2021_499_a7,
     author = {A. Timonov},
     title = {A novel method for the numerical solution of a hybrid inverse problem of electrical conductivity imaging},
     journal = {Zapiski Nauchnykh Seminarov POMI},
     pages = {105--128},
     publisher = {mathdoc},
     volume = {499},
     year = {2021},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ZNSL_2021_499_a7/}
}
                      
                      
                    TY - JOUR AU - A. Timonov TI - A novel method for the numerical solution of a hybrid inverse problem of electrical conductivity imaging JO - Zapiski Nauchnykh Seminarov POMI PY - 2021 SP - 105 EP - 128 VL - 499 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/ZNSL_2021_499_a7/ LA - ru ID - ZNSL_2021_499_a7 ER -
A. Timonov. A novel method for the numerical solution of a hybrid inverse problem of electrical conductivity imaging. Zapiski Nauchnykh Seminarov POMI, Investigations on applied mathematics and informatics. Part I, Tome 499 (2021), pp. 105-128. http://geodesic.mathdoc.fr/item/ZNSL_2021_499_a7/