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In this article, we propose a second-order central scheme of the Nessyahu-Tadmor-type for a class of scalar conservation laws with discontinuous flux and present its convergence analysis. Since solutions to problems with discontinuous flux…

Numerical Analysis · Mathematics 2025-03-25 Nikhil Manoj , Sudarshan Kumar K

In this paper, we solve nonlinear conservation laws using the radial basis function generated finite difference (RBF-FD) method. Nonlinear conservation laws have solutions that entail strong discontinuities and shocks, which give rise to…

Numerical Analysis · Mathematics 2022-04-06 Igor Tominec , Murtazo Nazarov

We present a meshfree numerical solver for scalar conservation laws in one space dimension. Points representing the solution are moved according to their characteristic velocities. Particle interaction is resolved by purely local particle…

Numerical Analysis · Mathematics 2008-11-15 Yossi Farjoun , Benjamin Seibold

In this study, a new framework of constructing very high order discontinuity-capturing schemes is proposed for finite volume method. These schemes, so-called $\mathrm{P}_{n}\mathrm{T}_{m}-\mathrm{BVD}$ (polynomial of $n$-degree and THINC…

Computational Physics · Physics 2018-11-21 Xi Deng , Yuya Shimizu , Feng Xiao

The von Neumann equation with delta self-interaction kernel serves as a statistical model for nonlinear waves, and it exhibits a bifurcation between stable and unstable regimes. In oceanography it is known as the Alber equation, and its…

Numerical Analysis · Mathematics 2026-03-31 Agissilaos Athanassoulis , Fotini Karakatsani , Irene Kyza

In many applications, for instance when describing dynamics of fluids or gases, hyperbolic conservation laws arise naturally in the modeling of conserved quantities of a system, like mass or energy. These types of equations exhibit highly…

Numerical Analysis · Mathematics 2022-03-14 Hendrik Kleikamp , Mario Ohlberger , Stephan Rave

We propose a new entropy-compatible neural network method for scalar hyperbolic conservation laws and establish, to our knowledge, the first explicit \(L^1\) convergence rates in this setting that apply to piecewise smooth entropy…

Numerical Analysis · Mathematics 2026-05-20 Jiachuan Cao , Buyang Li , Hao Li

We propose a new numerical approach to compute nonclassical solutions to hyperbolic conservation laws. The class of finite difference schemes presented here is fully conservative and keep nonclassical shock waves as sharp interfaces,…

Numerical Analysis · Mathematics 2021-10-01 Benjamin Boutin , Christophe Chalons , Frederic Lagoutiere , Philippe G. LeFloch

We are interested in the numerical approximation of discontinuous solutions in non conservative hyperbolic systems. An extension to second-order of a new strategy based on in-cell discontinuous reconstructions to deal with this challenging…

We focus here on a class of fourth-order parabolic equations that can be written as a system of second-order equations by introducing an auxiliary variable. We design a novel second-order fully discrete mixed finite element method to…

Numerical Analysis · Mathematics 2020-08-28 Sana Keita , Abdelaziz Beljadid , Yves Bourgault

This paper presents a review of the current state-of-the-art of numerical methods for nonlinear Dirac (NLD) equation. Several methods are extendedly proposed for the (1+1)-dimensional NLD equation with the scalar and vector self-interaction…

Computational Physics · Physics 2013-05-03 Jian Xu , Sihong Shao , Huazhong Tang

Non-local systems of conservation laws play a crucial role in modeling flow mechanisms across various scenarios. The well-posedness of such problems is typically established by demonstrating the convergence of robust first-order schemes.…

Numerical Analysis · Mathematics 2025-01-07 Nikhil Manoj , G. D. Veerappa Gowda , Sudarshan Kumar K

We introduce a robust first order accurate meshfree method to numerically solve time-dependent nonlinear conservation laws. The main contribution of this work is the meshfree construction of first order consistent summation by parts…

Numerical Analysis · Mathematics 2024-11-07 Samuel Kwan , Jesse Chan

In this article, we prove the convergence of a semi-discrete numerical method applied to a general class of nonlocal nonlinear wave equations where the nonlocality is introduced through the convolution operator in space. The most important…

Numerical Analysis · Mathematics 2020-08-04 H. A. Erbay , S. Erbay , A. Erkip

In this work, we consider the development of implicit explicit total variation diminishing (TVD) methods (also termed SSP: strong stability preserving) for the compressible isentropic Euler system in the low Mach number regime. The scheme…

Numerical Analysis · Mathematics 2018-08-01 Giacomo Dimarco , Raphaël Loubère , Victor Michel-Dansac , Marie-Hélène Vignal

We present an efficient second-order finite difference scheme for solving the 2D sine-Gordon equation, which can inherit the discrete energy conservation for the undamped model theoretically. Due to the semi-implicit treatment for the…

Numerical Analysis · Mathematics 2017-06-28 Xiaorong Kang , Wenqiang Feng , Kelong Cheng , Chunxiang Guo

We present direct methods and symbolic software for the computation of conservation laws of nonlinear partial differential equations (PDEs) and differential-difference equations (DDEs).The methods are applied to nonlinear PDEs in (1+1)…

Exactly Solvable and Integrable Systems · Physics 2008-03-04 Willy Hereman , Paul J. Adams , Holly L. Eklund , Mark S. Hickman , Barend M. Herbst

In this article, we propose a MUSCL-Hancock-type second-order scheme for the discretization of a general class of non-local conservation laws and present its convergence analysis. The main difficulty in designing a MUSCL-Hancock-type scheme…

Numerical Analysis · Mathematics 2025-06-05 Nikhil Manoj , G. D. Veerappa Gowda , Sudarshan Kumar K

An effective algorithmic method is presented for finding the local conservation laws for partial differential equations with any number of independent and dependent variables. The method does not require the use or existence of a…

Mathematical Physics · Physics 2007-05-23 Stephen C. Anco , George Bluman

Trained neural networks (NN) have attractive features for closing governing equations. There are many methods that are showing promise, but all can fail in cases when small errors consequentially violate physical reality, such as a solution…

Machine Learning · Computer Science 2024-12-05 Seung Won Suh , Jonathan F MacArt , Luke N Olson , Jonathan B Freund