Title
Quasi-interpolation operators based on a cubic spline and applications in SAMR simulations
Abstract
In this paper, we consider the properties of monotonicity-preserving and global conservation-preserving for interpolation operators. These two properties play important role when interpolation operators used in many real numerical simulations. In order to attain these two aspects, we propose a one-dimensional (1D) new cubic spline, and extend it to two-dimensional (2D) using tensor-product operation. Based on discrete convolution, 1D and 2D quasi-interpolation operators are presented using these functions. Both analysis and numerical results show that the interpolation operators constructed in this paper are monotonic and conservative. In particular, we consider the numerical simulations of 2D Euler equations based on the technique of structured adaptive mesh refinement (SAMR). In SAMR simulations, effective interpolators are needed for information transportation between the coarser/finer meshes. We applied the 2D quasi-interpolation operator to this environment, and the simulation result show the efficiency and correctness of our interpolator.
Year
DOI
Venue
2010
10.1016/j.amc.2010.09.045
Applied Mathematics and Computation
Keywords
Field
DocType
Quasi-interpolation operator,Monotonicity-preserving property,Conservation-preserving property,SAMR simulation
Spline (mathematics),Mathematical optimization,Polygon mesh,Spline interpolation,Convolution,Mathematical analysis,Interpolation,Monotone cubic interpolation,Operator (computer programming),Euler equations,Mathematics
Journal
Volume
Issue
ISSN
217
8
0096-3003
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Libin Ma100.34
Zeyao Mo27319.48
Xiaowen Xu300.68