A CWENO Large Time-Step Scheme for Hamilton-Jacobi Equations

Abstract We propose a high-order numerical scheme for time-dependent first-order Hamilton-Jacobi-Bellman (HJB) equations. In particular, we propose to combine a semi-Lagrangian (SL) scheme with a Central Weighted Essentially Non-Oscillatory (CWENO) reconstruction. The CWENO method provides a non-oscillatory, high-order reconstruction polynomial that allows efficient evaluations at multiple reconstruction points, while the SL method ensures stability without any time-step restrictions. Together, they form a particularly effective framework for solving HJB equations. We prove a convergence result in the case of state- and time-independent Hamiltonians. Numerical simulations are presented in space dimensions one and two, also for more general state- and time-dependent Hamiltonians, demonstrating superior performance in terms of CPU time gain compared with a semi-Lagrangian scheme coupled with Weighted Non-Oscillatory reconstructions.

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Publication Details

Journal
Communications on Applied Mathematics and Computation
Published
2025-04-09
DOI
https://doi.org/10.1007/s42967-025-00482-6
Citations
1
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
1.33

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article

A CWENO Large Time-Step Scheme for Hamilton-Jacobi Equations

Roberto Ferretti, Elisabetta Carlini, Matteo Semplice, Silvia Preda
1 citations
Communications on Applied Mathematics and Computation
Computational Fluid Dynamics and Aerodynamics
1.33
article

A CWENO Large Time-Step Scheme for Hamilton-Jacobi Equations

Roberto Ferretti, Elisabetta Carlini, Matteo Semplice, Silvia Preda
article en
1 citations

Abstract

Abstract We propose a high-order numerical scheme for time-dependent first-order Hamilton-Jacobi-Bellman (HJB) equations. In particular, we propose to combine a semi-Lagrangian (SL) scheme with a Central Weighted Essentially Non-Oscillatory (CWENO) reconstruction. The CWENO method provides a non-oscillatory, high-order reconstruction polynomial that allows efficient evaluations at multiple reconstruction points, while the SL method ensures stability without any time-step restrictions. Together, they form a particularly effective framework for solving HJB equations. We prove a convergence result in the case of state- and time-independent Hamiltonians. Numerical simulations are presented in space dimensions one and two, also for more general state- and time-dependent Hamiltonians, demonstrating superior performance in terms of CPU time gain compared with a semi-Lagrangian scheme coupled with Weighted Non-Oscillatory reconstructions.

Communications on Applied Mathematics and Computation
University of Insubria (IT), Roma Tre University (IT), Sapienza University of Rome (IT)
Università degli Studi Roma Tre, Istituto Nazionale di Alta Matematica "Francesco Severi", Ministero dell'Università e della Ricerca, Gruppo Nazionale per il Calcolo Scientifico
Openalex Percentile: Top 25%
Computational Fluid Dynamics and Aerodynamics
1.33
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A CWENO Large Time-Step Scheme for Hamilton-Jacobi Equations — Roberto Ferretti, Elisabetta Carlini, et al. · Communications on Applied Mathematics and Computation (2025) | TGRS Research Map | TGRS