Gradient recovery-based adaptive stabilized mixed FEM for the convection–diffusion–reaction equation on surfaces

2021 ◽  
Vol 380 ◽  
pp. 113798
Author(s):  
Mengqing Jin ◽  
Xinlong Feng ◽  
Kun Wang
Keyword(s):  
Diffusion Reaction ◽  
Gradient Recovery ◽  
Reaction Equation ◽  
Convection Diffusion ◽  
Mixed Fem

The characteristic RBF-FD method for the convection-diffusion-reaction equation on implicit surfaces

2019 ◽  
Vol 75 (8) ◽  
pp. 548-559 ◽  
Author(s):  
Fengyang Zhao ◽  
Jingwei Li ◽  
Xufeng Xiao ◽  
Xinlong Feng
Keyword(s):  
Implicit Surfaces ◽  
Diffusion Reaction ◽  
Reaction Equation ◽  
Convection Diffusion

Method of Order Reduction for the High-Dimensional Convection-Diffusion-Reaction Equation with Robin Boundary Conditions Based on MQ RBF-FD

2019 ◽  
Vol 17 (08) ◽  
pp. 1950058 ◽  
Author(s):  
Jingwei Li ◽  
Zhiming Gao ◽  
Xinlong Feng ◽  
Yinnian He
Keyword(s):  
Order Reduction ◽  
Second Order ◽  
Diffusion Reaction ◽  
High Dimensional ◽  
Reaction Equation ◽  
Convection Diffusion ◽  
Discrete Scheme ◽  
First Order ◽  
Intermediate Variables ◽  
Robin Boundary

A novel method of order reduction is proposed to the high-dimensional convection-diffusion-reaction equation with Robin boundary condition based on the multiquadric radial basis function-generated finite difference method (MQ RBF-FD). The main motivation is to get not only a second-order accurate solution but also a second-order accurate gradient. Key to the proposed method is introducing the intermediate variables representing the first-order derivatives to reduce the original second-order problem into an equivalent system of first-order partial differential equations. Then a discrete scheme for the latter is constructed, in which MQ RBF-FD method is applied to approximate the first-order derivatives of the original variable at the center point with decoupled method. Moreover, we can obtain an equivalent discrete scheme about the original variable and intermediate variables which can be proven all second-order convergent, that is, the convergence rate of the gradient of solution is also second-order. Finally numerical examples are presented to show the efficiency and accuracy of the proposed method.

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