2001
DOI: 10.1090/s0025-5718-01-01346-1
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A posteriori error estimates for general numerical methods for Hamilton-Jacobi equations. Part I: The steady state case

Abstract: A new upper bound is provided for the L ∞-norm of the difference between the viscosity solution of a model steady state Hamilton-Jacobi equation, u, and any given approximation, v. This upper bound is independent of the method used to compute the approximation v; it depends solely on the values that the residual takes on a subset of the domain which can be easily computed in terms of v. Numerical experiments investigating the sharpness of the a posteriori error estimate are given.

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Cited by 18 publications
(41 citation statements)
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“…To this end, we consider approximate solutions of the discrete cell problem (1.8), and the goal of this paper is to provide some a posteriori error estimates between any discrete effective Hamiltonian and the continuous effective Hamiltonian λ. Concerning the effective Hamiltonian for local Hamilton-Jacobi equations, we refer the reader to [1], [8], [17], [22], [25] for error estimates and numerical computations; see also [2], [3] for a posteriori error estimates.…”
Section: Resultsmentioning
confidence: 99%
“…To this end, we consider approximate solutions of the discrete cell problem (1.8), and the goal of this paper is to provide some a posteriori error estimates between any discrete effective Hamiltonian and the continuous effective Hamiltonian λ. Concerning the effective Hamiltonian for local Hamilton-Jacobi equations, we refer the reader to [1], [8], [17], [22], [25] for error estimates and numerical computations; see also [2], [3] for a posteriori error estimates.…”
Section: Resultsmentioning
confidence: 99%
“…For HJ equations of the form (2) we need to calculate rUðxÞ, so we assume the RBF /ðxÞ is well behaved and differentiate (3).…”
Section: Function Reconstruction Using Rbfsmentioning
confidence: 99%
“…These do not require augmentation by polynomials when solving (3). In order to achieve better reconstructions we will attempt to optimize the parameter (e.g.…”
Section: Function Reconstruction Using Rbfsmentioning
confidence: 99%
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“…We expect similar applications for the algorithm presented here. There are other newly developed high-resolution schemes for Hamilton-Jacobi equations, such as central-difference schemes [24,26], discontinuous Galerkin schemes [1,15], and finite-volume schemes [22]; we plan to test these schemes on the eikonal equations in the seismic exploration setting in the near future. For examples of capturing multivalued travel times and caustics by solving Hamilton-Jacobi equations, see [2,3].…”
Section: Introductionmentioning
confidence: 99%