WDWai Sun Don
Wai Sun Don
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Wai Sun Don has a total of 32 co-authors. Here are the top co-authors by number of shared publications:
- Zhen Gao
School of Mathematical Sciences, Ocean University of China, Qingdao, People’s Republic of China
7 shared publications - Bao-Shan Wang
School of Mathematical Sciences, Ocean University of China, Qingdao, China
4 shared publications - Gustaaf B. Jacobs
San Diego State University
3 shared publications - Baoshan Wang
School of Earth and Space Sciences, University of Science and Technology of China, Hefei, China
2 shared publications - Leevan Ling
Department of Mathematics Hong Kong Baptist University Kowloon Tong Hong Kong
2 shared publications - Peng Li
Department of Engineering Mechanics, Shijiazhuang Tiedao University, Shijiazhuang, China
2 shared publications
Latest Publications
- 26 September 2024
- Published by Springer Nature in Engineering with Computers
- Vol. 41 (2) , 965-988
A fast computational framework for the linear peridynamic model
- 26 September 2024
- Published by Springer Nature in Engineering with Computers
- Vol. 41 (2) , 965-988
A fast computational framework for the linear peridynamic model
- 8 December 2022
- Published by Springer Nature in Journal of Scientific Computing
- Vol. 94 (1) , 1-32
Scale-Invariant Multi-resolution Alternative WENO Scheme for the Euler Equations
- 8 December 2022
- Published by Springer Nature in Journal of Scientific Computing
- Vol. 94 (1) , 1-32
Scale-Invariant Multi-resolution Alternative WENO Scheme for the Euler Equations
- Open Access
- 9 November 2022
- Published by Springer Nature in Journal of Scientific Computing
- Vol. 93 (3) , 1-26
A Time-Continuous Embedding Method for Scalar Hyperbolic Conservation Laws on Manifolds
A time-continuous (tc-)embedding method is first proposed for solving nonlinear scalar hyperbolic conservation laws with discontinuous solutions (shocks and rarefaction waves) on codimension 1, connected, smooth, and closed manifolds (surface PDEs or SPDEs in $${\mathbb {R}}^2$$ and $${\mathbb {R}}^3$$ ). The new embedding method improves upon the classical closest point (cp-)embedding method, which requires re-establishments of the constant-along-normal (CAN-)property of the extension function at every time step, in terms of accuracy and efficiency, by incorporating the CAN-property analytically and explicitly in the embedding equation. The tc-embedding SPDEs are solved by the second-order nonlinear central finite volume scheme with a nonlinear minmod slope limiter in space, and the third-order total variation diminished Runge-Kutta scheme in time. An adaptive nonlinear essentially non-oscillatory polynomial interpolation is used to obtain the solution values at the ghost cells. Numerical results in solving the linear wave equation and the Burgers’ equation show that the proposed tc-embedding method has better accuracy, improved resolution, and reduced CPU times than the classical cp-embedding method. The Burgers’ equation, the traffic flow problem, and the Buckley-Leverett equation are solved to demonstrate the robust performance of the tc-embedding method in resolving fine-scale structures efficiently even in the presence of a shock and the essentially non-oscillatory capturing of shocks and rarefaction waves on simple and complex shaped one-dimensional manifolds. Burgers’ equation is also solved on the two-dimensional torus-shaped and spherical-shaped manifolds.- 9 November 2022
- Published by Springer Nature in Journal of Scientific Computing
- Vol. 93 (3) , 1-26
Open AccessA Time-Continuous Embedding Method for Scalar Hyperbolic Conservation Laws on Manifolds
A time-continuous (tc-)embedding method is first proposed for solving nonlinear scalar hyperbolic conservation laws with discontinuous solutions (shocks and rarefaction waves) on codimension 1, connected, smooth, and closed manifolds (surface PDEs or SPDEs in $${\mathbb {R}}^2$$ and $${\mathbb {R}}^3$$ ). The new embedding method improves upon the classical closest point (cp-)embedding method, which requires re-establishments of the constant-along-normal (CAN-)property of the extension function at every time step, in terms of accuracy and efficiency, by incorporating the CAN-property analytically and explicitly in the embedding equation. The tc-embedding SPDEs are solved by the second-order nonlinear central finite volume scheme with a nonlinear minmod slope limiter in space, and the third-order total variation diminished Runge-Kutta scheme in time. An adaptive nonlinear essentially non-oscillatory polynomial interpolation is used to obtain the solution values at the ghost cells. Numerical results in solving the linear wave equation and the Burgers’ equation show that the proposed tc-embedding method has better accuracy, improved resolution, and reduced CPU times than the classical cp-embedding method. The Burgers’ equation, the traffic flow problem, and the Buckley-Leverett equation are solved to demonstrate the robust performance of the tc-embedding method in resolving fine-scale structures efficiently even in the presence of a shock and the essentially non-oscillatory capturing of shocks and rarefaction waves on simple and complex shaped one-dimensional manifolds. Burgers’ equation is also solved on the two-dimensional torus-shaped and spherical-shaped manifolds. - 1 November 2021
- Published by Springer Nature in Communications on Applied Mathematics and Computation
- Vol. 5 (1) , 295-314
Fifth-Order A-WENO Schemes Based on the Adaptive Diffusion Central-Upwind Rankine-Hugoniot Fluxes
- 1 November 2021
- Published by Springer Nature in Communications on Applied Mathematics and Computation
- Vol. 5 (1) , 295-314
Fifth-Order A-WENO Schemes Based on the Adaptive Diffusion Central-Upwind Rankine-Hugoniot Fluxes
- 13 July 2021
- Published by Springer Nature in Journal of Scientific Computing
- Vol. 88 (2) , 1-27
Sensitivity Parameter-Independent Characteristic-Wise Well-Balanced Finite Volume WENO Scheme for the Euler Equations Under Gravitational Fields
- 13 July 2021
- Published by Springer Nature in Journal of Scientific Computing
- Vol. 88 (2) , 1-27
Sensitivity Parameter-Independent Characteristic-Wise Well-Balanced Finite Volume WENO Scheme for the Euler Equations Under Gravitational Fields
- 15 June 2020
- Published by Springer Nature in Journal of Scientific Computing
- Vol. 83 (3) , 1-32
Entropy Stable and Well-Balanced Discontinuous Galerkin Methods for the Nonlinear Shallow Water Equations
- 15 June 2020
- Published by Springer Nature in Journal of Scientific Computing
- Vol. 83 (3) , 1-32
Entropy Stable and Well-Balanced Discontinuous Galerkin Methods for the Nonlinear Shallow Water Equations
- 3 June 2020
- Published by Springer Nature in Journal of Scientific Computing
- Vol. 83 (3) , 1-21
An Edge Detector Based on Artificial Neural Network with Application to Hybrid Compact-WENO Finite Difference Scheme
- 3 June 2020
- Published by Springer Nature in Journal of Scientific Computing
- Vol. 83 (3) , 1-21
An Edge Detector Based on Artificial Neural Network with Application to Hybrid Compact-WENO Finite Difference Scheme