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The purpose of this work is to propose a novel a posteriori finite volume subcell limiter technique for the Discontinuous Galerkin finite element method for nonlinear systems of hyperbolic conservation laws in multiple space dimensions that…

Numerical Analysis · Mathematics 2015-03-11 Michael Dumbser , Olindo Zanotti , Raphael Loubere , Steven Diot

Semi-implicit multilevel spectral deferred correction (SI-MLSDC) methods provide a promising approach for high-order time integration for nonlinear evolution equations including conservation laws. However, existing methods lack robustness…

Numerical Analysis · Mathematics 2025-12-09 Erik Pfister , Jörg Stiller

In the case of hyperbolic conservation laws, high-order methods, such as the classical DG method, experience the phenomenon of unwanted high-frequency oscillations in the vicinity of a shock. Shock-capturing methods such as artificial…

Numerical Analysis · Mathematics 2025-11-04 Sai Shruthi Srinivasan , Siva Nadarajah

We define hyperbolic fractional-order Fourier transformations by replacing the circular trigonometric functions in the integral expressions of conventional fractional-order Fourier transformations with hyperbolic trigonometric functions. We…

Optics · Physics 2025-09-29 Pierre Pellat-Finet

Semi-implicit spectral deferred correction (SDC) methods provide a systematic approach to construct time integration methods of arbitrarily high order for nonlinear evolution equations including conservation laws. They converge towards $A$-…

Numerical Analysis · Mathematics 2025-01-29 Joerg Stiller

Maxwell equations describe the propagation of electromagnetic waves and are therefore fundamental to understanding many problems encountered in the study of antennas and electromagnetics. The aim of this paper is to propose and analyse an…

Numerical Analysis · Mathematics 2022-10-13 Bin Wang , Yaolin Jiang

An "exact" method for scalar one-dimensional hyperbolic conservation laws is presented. The approach is based on the evolution of shock particles, separated by local similarity solutions. The numerical solution is defined everywhere, and is…

Numerical Analysis · Mathematics 2023-08-17 Yossi Farjoun , Benjamin Seibold

Fast sweeping methods have become a useful tool for computing the solutions of static Hamilton-Jacobi equations. By adapting the main idea behind these methods, we describe a new approach for computing steady state solutions to systems of…

Numerical Analysis · Mathematics 2015-06-16 Bjorn Engquist , Brittany D. Froese , Yen-Hsi Richard Tsai

In this paper, an oscillation-free spectral volume (OFSV) method is proposed and studied for the hyperbolic conservation laws. The numerical scheme is designed by introducing a damping term in the standard spectral volume method for the…

Numerical Analysis · Mathematics 2023-02-27 Xinyue Zhang , Waixiang Cao , Liang Pan

We adapt the spectral viscosity (SV) formulation implemented as a modal filter to a Spectral Difference Method (SD) solving hyperbolic conservation laws. In the SD Method we use selections of different orthogonal polynomials (APK…

Numerical Analysis · Mathematics 2018-02-15 Jan Glaubitz , Philipp Öffner , Thomas Sonar

Consider a strictly hyperbolic $n\times n$ system of conservation laws, where each characteristic field is either genuinely nonlinear or linearly degenerate. In this standard setting, it is well known that there exists a Lipschitz semigroup…

Analysis of PDEs · Mathematics 2023-05-19 Alberto Bressan , Graziano Guerra

We have developed a new embedding method for solving scalar hyperbolic conservation laws on surfaces. The approach represents the interface implicitly by a signed distance function following the typical level set method and some embedding…

Numerical Analysis · Mathematics 2023-07-17 Chun Kit Hung , Shingyu Leung

In this paper, we analyze two classes of spectral volume (SV) methods for one-dimensional hyperbolic equations with degenerate variable coefficients. The two classes of SV methods are constructed by letting a piecewise $k$-th order ($k\ge…

Numerical Analysis · Mathematics 2022-11-10 Minqiang Xu , Yanting yuan , Waixiang Cao , Qingsong Zou

We introduce a second-order, central-upwind finite volume method for the discretization of nonlinear hyperbolic conservation laws posed on the two-dimensional sphere. The semi-discrete version of the proposed method is based on a technique…

Analysis of PDEs · Mathematics 2015-12-29 Abdelaziz Beljadid , Philippe G. LeFloch

This article considers the application of Smoothness-Increasing Accuracy-Conserving (SIAC) filtering for the non-linear stabilization of discontinuous Galerkin (DG) discretizations via entropy correction. Upon constructing discrete filters…

Numerical Analysis · Mathematics 2023-12-11 Matthew J. Picklo , Ayaboe K. Edoh

We present a new third-order, semi-discrete, central method for approximating solutions to multi-dimensional systems of hyperbolic conservation laws, convection-diffusion equations, and related problems. Our method is a high-order extension…

Numerical Analysis · Mathematics 2025-10-20 Alexander Kurganov , Doron Levy

Robust and convergent high-order numerical methods for solving partial differential equations are highly attractive due to their efficiency on modern and next-generation hardware architectures. However, designing such methods for nonlinear…

Numerical Analysis · Mathematics 2026-03-24 Dougal Stewart , Nathan Lee , Kenneth Duru

Spectral methods yield numerical solutions of the Galerkin-truncated versions of nonlinear partial differential equations involved especially in fluid dynamics. In the presence of discontinuities, such as shocks, spectral approximations…

Numerical Analysis · Mathematics 2024-03-01 Sai Swetha Venkata Kolluru , Nicolas Besse , Rahul Pandit

We present a graph-based numerical method for solving hyperbolic systems of conservation laws using discontinuous finite elements. This work fills important gaps in the theory as well as practice of graph-based schemes. In particular, four…

Numerical Analysis · Mathematics 2025-05-21 Martin Kronbichler , Matthias Maier , Ignacio Tomas

Hyperspectral data consists of large number of features which require sophisticated analysis to be extracted. A popular approach to reduce computational cost, facilitate information representation and accelerate knowledge discovery is to…

Machine Learning · Computer Science 2015-09-29 Phool Preet , Sanjit Singh Batra , Jayadeva