2008
DOI: 10.1016/j.jcp.2008.02.004
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An adaptive wavelet collocation method for the solution of partial differential equations on the sphere

Abstract: A dynamic adaptive numerical method for solving partial differential equations on the sphere is developed. The method is based on second generation spherical wavelets on almost uniform nested spherical triangular grids, and is an extension of the adaptive wavelet collocation method to curved manifolds. Wavelet decomposition is used for grid adaption and interpolation. An O(N ) hierarchical finite difference scheme based on the wavelet multilevel decomposition is used to approximate Laplace-Beltrami, Jacobian a… Show more

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Cited by 57 publications
(51 citation statements)
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“…The elliptic solver can be used for the PDE constraints in evolution problems, such as the Poisson equation in the pressure correction method for the incompressible Navier-Stokes equations. Together, our previous article [16] and the present paper thus provide a complete set of tools for the efficient and accurate adaptive solution of PDEs on the sphere. In particular, we can now solve the full incompressible Navier-Stokes equations on the sphere, taking advantage of wavelet multilevel decomposition and compression.…”
mentioning
confidence: 84%
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“…The elliptic solver can be used for the PDE constraints in evolution problems, such as the Poisson equation in the pressure correction method for the incompressible Navier-Stokes equations. Together, our previous article [16] and the present paper thus provide a complete set of tools for the efficient and accurate adaptive solution of PDEs on the sphere. In particular, we can now solve the full incompressible Navier-Stokes equations on the sphere, taking advantage of wavelet multilevel decomposition and compression.…”
mentioning
confidence: 84%
“…We first review the calculation of the Laplace-Beltrami operator on a standard spherical geodesic grid as described in [16]. For any point p on the surface of S, it is known that [26] (2.5)…”
Section: 2mentioning
confidence: 99%
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