2003
DOI: 10.1137/s0036142901396533
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Fast Sweeping Algorithms for a Class of Hamilton--Jacobi Equations

Abstract: We derive a Godunov-type numerical flux for the class of strictly convex, homogeneous Hamiltonians that includes H(p, q) = ap 2 + bq 2 − 2cpq, c 2 < ab. We combine our Godunov numerical fluxes with simple GaussSeidel type iterations for solving the corresponding Hamilton-Jacobi Equations. The resulting algorithm is fast since it does not require a sorting strategy as found, e.g., in the fast marching method. In addition, it provides a way to compute solutions to a class of HJ equations for which the convention… Show more

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Cited by 384 publications
(324 citation statements)
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References 26 publications
(37 reference statements)
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“…Min and Gibou also used the idea of Russo and Smereka with slight modifications in the context of adaptive mesh refinement [90], and Min pointed out that it is advantageous in terms of speed and memory to replace the traditional Runge-Kutta scheme in time with a Gauss-Seidel iteration of the forward Euler scheme [88]. Finally, we mention that other techniques can be used to reinitialize φ as a distance function [125,124,149,166,148,31,147,53], each with their pros and cons. We refer the interested readers to the book by Osher and Fedkiw [101] as well to the book by Sethian [127] for more details on the level-set method.…”
Section: Level-set Evolution and Reinitializationmentioning
confidence: 99%
“…Min and Gibou also used the idea of Russo and Smereka with slight modifications in the context of adaptive mesh refinement [90], and Min pointed out that it is advantageous in terms of speed and memory to replace the traditional Runge-Kutta scheme in time with a Gauss-Seidel iteration of the forward Euler scheme [88]. Finally, we mention that other techniques can be used to reinitialize φ as a distance function [125,124,149,166,148,31,147,53], each with their pros and cons. We refer the interested readers to the book by Osher and Fedkiw [101] as well to the book by Sethian [127] for more details on the level-set method.…”
Section: Level-set Evolution and Reinitializationmentioning
confidence: 99%
“…This procedure, by making a fully symmetric [25,26,27,28,29,30,31,32,33] and references therein). In particular the fast sweeping algorithms of Ref.…”
Section: Self-consistent Iterative Procedures For Q(r R M )mentioning
confidence: 99%
“…In particular the fast sweeping algorithms of Ref. [30], and the robust algorithms for multidimensional Hamilton-Jacobi equations of Refs. [31,32,33] represent an extremely useful approach to a computer implementation of this procedure.…”
Section: Self-consistent Iterative Procedures For Q(r R M )mentioning
confidence: 99%
“…The schemes are formally accurate: we implement second, third and fourth order accurate schemes in one dimension and second order accurate schemes in two dimensions, indicating how to build higher order ones. They are also explicit, which means they can be solved using the fast sweeping method [TCOZ03,Zha05], or the fast marching method [Set99,Tsi95] in the case of the eikonal equation.…”
Section: Introductionmentioning
confidence: 99%