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We introduce the concept of nonlocal $H$-convergence. For this we employ the theory of abstract closed complexes of operators in Hilbert spaces. We show uniqueness of the nonlocal $H$-limit as well as a corresponding compactness result.…

Analysis of PDEs · Mathematics 2018-09-27 Marcus Waurick

This paper identifies a new pathology that can be found for numerical simulations of nonlinear conservation law systems. Many of the difficulties already identified in the literature (rarefaction shocks, carbuncle phenomena, slowly moving…

Numerical Analysis · Mathematics 2012-04-30 J. W. Banks

Integrable difference equations commonly have more low-order conservation laws than occur for nonintegrable difference equations of similar complexity. We use this empirical observation to sift a large class of difference equations, in…

Exactly Solvable and Integrable Systems · Physics 2009-09-05 Peter E. Hydon , Claude-M. Viallet

We consider well-balanced schemes for the following 1D scalar conservation law with source term: d_t u + d_x f(u) + z'(x) b(u) = 0. More precisely, we are interested in the numerical approximation of the initial boundary value problem for…

Numerical Analysis · Mathematics 2007-05-23 M. Nolte , D. Kroener

The knowledge of {\it non usual} and sometimes {\it hidden} symmetries of (classical) integrable systems provides a very powerful setting-out of solutions of these models. Primarily, the understanding and possibly the quantisation of…

High Energy Physics - Theory · Physics 2009-10-31 Davide Fioravanti , Marian Stanishkov

Numerical methods that approximate the solution of the Vlasov-Poisson equation by a low-rank representation have been considered recently. These methods can be extremely effective from a computational point of view, but contrary to most…

Numerical Analysis · Mathematics 2018-07-09 Lukas Einkemmer , Christian Lubich

In this paper we present a novel framework for obtaining high order numerical methods for 1-D scalar conservation laws with non-convex flux functions. When solving Riemann problems, the Oleinik entropy condition, [16], is satisfied when the…

Numerical Analysis · Mathematics 2019-12-02 Geoffrey McGregor , Jean-Christophe Nave

We study the design of interactive clustering algorithms for data sets satisfying natural stability assumptions. Our algorithms start with any initial clustering and only make local changes in each step; both are desirable features in many…

Data Structures and Algorithms · Computer Science 2015-03-23 Pranjal Awasthi , Maria-Florina Balcan , Konstantin Voevodski

The last two decades have seen a surge in kinetic and macroscopic models derived to investigate the multi-scale aspects of self-organised biological aggregations. Because the individual-level details incorporated into the kinetic models…

Populations and Evolution · Quantitative Biology 2014-07-09 José A. Carrillo , Raluca Eftimie , Franca K. O. Hoffmann

In this paper we consider a nonlocal evolution problem and obtain by a scaling method the first term in the asymptotic behavior of the solutions. The method employed treats in different way the smooth and the rough part of the solution.

Analysis of PDEs · Mathematics 2012-10-30 Tatiana I. Ignat

Symmetry, which describes invariance, is an eternal concern in mathematics and physics, especially in the investigation of solutions to the partial differential equation (PDE). A PDE's nonlocally related PDE systems provide excellent…

Mathematical Physics · Physics 2025-10-07 Huanjin Wang , Qiulan Zhao , Xinyue Li

We consider a semi-discrete finite volume scheme for a degenerate fractional conservation laws driven by a cylindrical Wiener process. Making use of the bounded variation (BV) estimates, Young measure theory, and a clever adaptation of…

Analysis of PDEs · Mathematics 2022-02-23 Ujjwal Koley , Guy Vallet

In this paper, we propose an adaptive high-order method for hyperbolic systems of conservation laws. The proposed method is based on a dual formulation approach: Two numerical solutions, corresponding to conservative and nonconservative…

Numerical Analysis · Mathematics 2026-01-29 Alina Chertock , Qingcheng Fu , Alexander Kurganov , Lorenzo Micalizzi

The conservation laws of the third order quasilinear scalar evolution equations are considered via differential system and characteristic cohomology. We find a subspace of 2 forms in the infinite prolonged space in which every conservation…

Differential Geometry · Mathematics 2007-05-23 Sung Ho Wang

We study pathwise entropy solutions for scalar conservation laws with inhomogeneous fluxes and quasilinear multiplicative rough path dependence. This extends the previous work of Lions, Perthame and Souganidis who considered spatially…

Analysis of PDEs · Mathematics 2014-06-16 Benjamin Gess , Panagiotis E. Souganidis

The hierarchy of the integrable nonlinear equations associated with the quadratic bundle is considered. The expressions for the solution of the linearization of these equations and their conservation law in the terms of the solutions of the…

Exactly Solvable and Integrable Systems · Physics 2009-11-11 N. V. Ustinov

We prove the stability of entropy weak solutions of a class of scalar conservation laws with non-local flux arising in traffic modelling. We obtain an estimate of the dependence of the solution with respect to the kernel function, the speed…

Analysis of PDEs · Mathematics 2018-01-18 Felisia Angela Chiarello , Paola Goatin , Elena Rossi

In this paper we devise a systematic procedure to obtain nonlocal symmetries of a class of scalar nonlinear ordinary differential equations (ODEs) of arbitrary order related to linear ODEs through nonlocal relations. The procedure makes use…

Exactly Solvable and Integrable Systems · Physics 2015-05-30 R. Gladwin Pradeep , V. K. Chandrasekar , M. Senthilvelan , M. Lakshmanan

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

'Big' high-dimensional data are commonly analyzed in low-dimensions, after performing a dimensionality-reduction step that inherently distorts the data structure. For the same purpose, clustering methods are also often used. These methods…

Machine Learning · Statistics 2019-02-20 Tom Lorimer , Karlis Kanders , Ruedi Stoop