A flux-jump preserved gradient recovery technique for accurately predicting the electrostatic field of an immersed biomolecule

2019 ◽  
Vol 396 ◽  
pp. 193-208 ◽  
Author(s):  
Jiao Li ◽  
Jinyong Ying ◽  
Benzhuo Lu
2011 ◽  
Vol 1 (3) ◽  
pp. 248-263
Author(s):  
Qun Lin ◽  
Hehu Xie

AbstractIn this paper, a new type of gradient recovery method based on vertex-edge-face interpolation is introduced and analyzed. This method gives a new way to recover gradient approximations and has the same simplicity, efficiency, and superconvergence properties as those of superconvergence patch recovery method and polynomial preserving recovery method. Here, we introduce the recovery technique and analyze its superconvergence properties. We also show a simple application in the a posteriori error estimates. Some numerical examples illustrate the effectiveness of this recovery method.


2012 ◽  
Vol 93 (1) ◽  
pp. 52-65 ◽  
Author(s):  
B. Pouliot ◽  
M. Fortin ◽  
A. Fortin ◽  
É. Chamberland

2017 ◽  
Vol 9 (5) ◽  
pp. 1133-1144
Author(s):  
Shanghui Jia ◽  
Changhui Yao

AbstractIn this paper, we consider the transform magnetic (TM) model of electromagnetic scattering in the cavity. By the Polynomial Preserving Recovery technique, we present superconvergence analysis for the vertex-edge-face type finite element. From the numerical example, we can see that the provided method is efficient and stable.


2017 ◽  
Vol 9 (3) ◽  
pp. 543-553 ◽  
Author(s):  
Shanghui Jia ◽  
Changhui Yao ◽  
Hehu Xie

AbstractIn this paper, we consider the transform magnetic (TM) model of electromagnetic scattering in the cavity. By the Polynomial Preserving Recovery technique, we present superconvergence analysis for the vertex-edge-face type finite element. From the numerical example, we can see that the provided method is efficient and stable.


Fitoterapia ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 60-60
Author(s):  
Yu. O. Maliarenko ◽  
◽  
A. V. Kovalyova ◽  
A. D. Volkov ◽  
◽  
...  
Keyword(s):  

2020 ◽  
Vol 140 (12) ◽  
pp. 599-600
Author(s):  
Kento Kato ◽  
Ken Kawamata ◽  
Shinobu Ishigami ◽  
Ryuji Osawa ◽  
Takeshi Ishida ◽  
...  

2014 ◽  
Vol 134 (12) ◽  
pp. 378-384 ◽  
Author(s):  
Toshihide Kuriyama ◽  
Wataru Takatsuji ◽  
Takaki Itoh ◽  
Hiroshi Maeda ◽  
Toshiyuki Nakaie ◽  
...  

2006 ◽  
Vol 65 (19) ◽  
pp. 1789-1798
Author(s):  
Y. E. Natanzon ◽  
L.S. Brizhik ◽  
O.O. Yeremko
Keyword(s):  

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