An adaptive image inpainting method based on euler's elastica with adaptive parameters estimation and the discrete gradient method

2021 ◽  
Vol 178 ◽  
pp. 107797 ◽  
Author(s):  
Dang Ngoc Hoang Thanh ◽  
V. B. Surya Prasath ◽  
Sergey Dvoenko ◽  
Le Minh Hieu
Keyword(s):  
Gradient Method ◽  
Image Inpainting ◽  
Parameters Estimation ◽  
Discrete Gradient ◽  
Adaptive Parameters ◽  
Euler’S Elastica ◽  
Discrete Gradient Method

scholarly journals Energetic-Property-Preserving Numerical Schemes for Coupled Natural Systems

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 249
Author(s):  
Mizuka Komatsu ◽  
Shunpei Terakawa ◽  
Takaharu Yaguchi
Keyword(s):  
Gradient Method ◽  
Symmetric Matrix ◽  
Coupled Systems ◽  
Numerical Schemes ◽  
Natural Systems ◽  
Discrete Gradient ◽  
Discrete Gradient Method ◽  
Spring System ◽  
Mass Spring ◽  
Energetic Property

In this paper, we propose a method for deriving energetic-property-preserving numerical schemes for coupled systems of two given natural systems. We consider the case where the two systems are interconnected by the action–reaction law. Although the derived schemes are based on the discrete gradient method, in the case under consideration, the equation of motion is not of the usual form represented by using the skew-symmetric matrix. Hence, the energetic-property-preserving schemes cannot be obtained by straightforwardly using the discrete gradient method. We show numerical results for two coupled systems as examples; the first system is a combination of the wave equation and the elastic equation, and the second is of the mass–spring system and the elastic equation.

A discrete gradient method to enhance the numerical behaviour of Hopfield networks

2015 ◽  
Vol 164 ◽  
pp. 45-55 ◽  
Author(s):  
Yadira Hernández-Solano ◽  
Miguel Atencia ◽  
Gonzalo Joya ◽  
Francisco Sandoval
Keyword(s):  
Gradient Method ◽  
Hopfield Networks ◽  
Discrete Gradient ◽  
Discrete Gradient Method
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