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Nonlocal dissipation measure and L1 kinetic theory for fractional conservation laws

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TLDR
In this article, a kinetic formulation for scalar conservation laws with nonlocal and nonlinear diffusion terms is introduced, dealing with merely L 1 initial data, general self-adjoint pure jump Levy operators, and general non-local diffusion terms.
Abstract
We introduce a kinetic formulation for scalar conservation laws with nonlocal and nonlinear diffusion terms. We deal with merely L1 initial data, general self-adjoint pure jump Levy operators, and ...

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A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems

TL;DR: A supervised deep neural network is employed that takes into account the equation and initial conditions of the model, providing numerical approximation of entropy solutions with very good precision and consistent to classical as well as to recently novel numerical methods in these particular scenarios.
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Weak-strong uniqueness for energy-reaction-diffusion systems

TL;DR: In this article, weak-strong uniqueness and stability properties of renormalised solutions to a class of energy-reaction-diffusion systems were established for general entropy-dissipating reactions without growth restrictions.
Journal ArticleDOI

Uniqueness of entropy solutions to fractional conservation laws with “fully infinite” speed of propagation

TL;DR: In this paper, the uniqueness of bounded entropy solutions for a multidimensional conservation law including a non-Lipschitz convection term and a diffusion term of nonlocal porous medium type is studied.
Journal ArticleDOI

Weak–strong uniqueness for energy-reaction-diffusion systems

TL;DR: In this article , the weak-strong uniqueness and stability properties of renormalized solutions to a class of energy-reaction-diffusion systems were established, motivated by thermodynamically consistent models, and their formal entropy structure allows to use as a key tool a suitably adjusted relative entropy method.
Book ChapterDOI

A Study on a Feedforward Neural Network to Solve Partial Differential Equations in Hyperbolic-Transport Problems

TL;DR: In this paper, a supervised deep neural network that takes into account the equation and initial conditions of the model was applied to the Riemann problems over the inviscid nonlinear Burger's equation, whose solutions might develop discontinuity (shock wave) and rarefaction, as well as the classical one-dimensional Buckley-Leverett two-phase problem.
References
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Book

Foundations of Modern Potential Theory

TL;DR: In this paper, the authors define the notion of potentials and their basic properties, including the capacity and capacity of a compact set, the properties of a set of irregular points, and the stability of the Dirichlet problem.
Journal ArticleDOI

Entropy Solutions for Nonlinear Degenerate Problems

TL;DR: In this article, the existence of entropy solutions for two classes of elliptic-parabolic-hyperbolic degenerate equations with Dirichlet homogeneous boundary conditions was proved.
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