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Mathematics > Numerical Analysis

arXiv:2006.05250 (math)
[Submitted on 29 May 2020]

Title:An adaptive sparse grid local discontinuous Galerkin method for Hamilton-Jacobi equations in high dimensions

Authors:Wei Guo, Juntao Huang, Zhanjing Tao, Yingda Cheng
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Abstract:We are interested in numerically solving the Hamilton-Jacobi (HJ) equations, which arise in optimal control and many other applications. Oftentimes, such equations are posed in high dimensions, and this poses great numerical challenges. This work proposes a class of adaptive sparse grid (also called adaptive multiresolution) local discontinuous Galerkin (DG) methods for solving Hamilton-Jacobi equations in high dimensions. By using the sparse grid techniques, we can treat moderately high dimensional cases. Adaptivity is incorporated to capture kinks and other local structures of the solutions. Two classes of multiwavelets are used to achieve multiresolution, which are the orthonormal Alpert's multiwavelets and the interpolatory multiwavelets. Numerical tests in up to four dimensions are provided to validate the performance of the method.
Comments: arXiv admin note: text overlap with arXiv:2004.08525
Subjects: Numerical Analysis (math.NA)
Cite as: arXiv:2006.05250 [math.NA]
  (or arXiv:2006.05250v1 [math.NA] for this version)
  https://doi.org/10.48550/arXiv.2006.05250
Related DOI: https://doi.org/10.1016/j.jcp.2021.110294

Submission history

From: Juntao Huang [view email]
[v1] Fri, 29 May 2020 14:13:44 UTC (1,355 KB)
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