posted on 2023-04-12, 00:00authored byErnie Tsybulnik
<p>High order accurate weighted essentially non-oscillatory (WENO) schemes are a class of broadly applied numerical methods for solving hyperbolic partial differential equations (PDEs). Due to highly nonlinear property of the WENO algorithm, large amount of computational costs are required for solving multidimensional problems. In our previous work (Lu et al. 2018, Zhu and Zhang 2021), sparse-grid techniques were applied to the classical finite difference WENO schemes in solving multidimensional hyperbolic equations, and it was shown that significant CPU times were saved while both accuracy and stability of the classical WENO schemes were maintained for computations on sparse grids. </p><p>In this thesis, we apply the approach to recently developed finite difference multi- resolution WENO scheme specifically the fifth-order scheme, which has very interesting properties such as its simplicity in linear weights’ construction over a classical WENO scheme. Numerical experiments on solving high dimensional hyperbolic equations including Vlasov based kinetic problems are performed to demonstrate that the sparse-grid computations achieve large savings of CPU times, and at the same time preserve comparable accuracy and resolution with those on corresponding regular single grids. </p>
History
Date Modified
2023-04-19
Defense Date
2023-03-31
CIP Code
27.9999
Research Director(s)
Yongtao Zhang
Committee Members
Martina Bukac Rosenbaum
Robert Rosenbaum
Degree
Doctor of Philosophy
Degree Level
Doctoral Dissertation
Alternate Identifier
1376380139
OCLC Number
1376380139
Additional Groups
Applied and Computational Mathematics and Statistics
Program Name
Applied and Computational Mathematics and Statistics