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We present an approximation scheme for functions in three dimensions, that requires only their samples on the Cartesian grid, under the assumption that the functions are sufficiently concentrated in both space and frequency. The scheme is…

Numerical Analysis · Mathematics 2022-12-16 Rami Katz , Yoel Shkolnisky

Many systems of interest in general relativistic astrophysics, including neutron stars, accreting compact objects in X-ray binaries and active galactic nuclei, core collapse, and collapsars, are assumed to be approximately spherically…

Astrophysics · Physics 2010-11-16 Burkhard Zink , Erik Schnetter , Manuel Tiglio

This short note introduces a novel diagnostic tool for evaluating the convection boundedness properties of numerical schemes across discontinuities. The proposed method is based on the convection boundedness criterion and the normalised…

Numerical Analysis · Mathematics 2024-11-12 Xi Deng , Zhen-hua Jiang , Omar K. Matar , Chao Yan

This article shows how to develop an efficient solver for a stabilized numerical space-time formulation of the advection-dominated diffusion transient equation. At the discrete space-time level, we approximate the solution by using…

Numerical Analysis · Mathematics 2023-06-30 Marcin Łoś , Paulina Sepulveda-Salas , Maciej Paszyński

The purpose of this work is to introduce and analyze a numerical scheme to efficiently solve boundary value problems involving the spectral fractional Laplacian. The approach is based on a reformulation of the problem posed on a…

Numerical Analysis · Mathematics 2018-08-17 Dominik Meidner , Johannes Pfefferer , Klemens Schürholz , Boris Vexler

We further develop a new framework, called PDE Acceleration, by applying it to calculus of variations problems defined for general functions on $\mathbb{R}^n$, obtaining efficient numerical algorithms to solve the resulting class of…

Numerical Analysis · Computer Science 2018-10-02 Minas Benyamin , Jeff Calder , Ganesh Sundaramoorthi , Anthony Yezzi

This paper is devoted to existence and uniqueness results for classes of nonlinear diffusion equations (or systems) which may be viewed as regular perturbations of Wasserstein gradient flows. First, in the case. where the drift is a…

Analysis of PDEs · Mathematics 2015-05-07 Guillaume Carlier , Maxime Laborde

Many physical problems can be modelled by partial differential equations on unknown domains. Several examples can easily be found in the dynamics of free interfaces in fluid dynamics, solid mechanics or in fluid-solid interactions. To solve…

Numerical Analysis · Mathematics 2018-10-25 Javier Rivero-Rodriguez , Miguel Perez-Saborid , Benoit Scheid

In this work, we present a conditionally stable finite-difference scheme that consistently approximates the solution of a general class of (3+1)-dimensional nonlinear equations that generalizes in various ways the quantitative model…

Numerical Analysis · Mathematics 2011-12-26 J. E. Macías-Díaz , A. Puri

We show the direct applicability of the Brouwer fixed point theorem for the existence of equilibrium points and periodic solutions for differential systems on general domains satisfying geometric conditions at the boundary. We develop a…

Classical Analysis and ODEs · Mathematics 2022-03-03 Guglielmo Feltrin , Fabio Zanolin

We propose and analyze a seamless extended Discontinuous Galerkin (DG) discretization of advection-diffusion equations on semi-infinite domains. The semi-infinite half line is split into a finite subdomain where the model uses a standard…

Numerical Analysis · Mathematics 2021-07-23 Federico Vismara , Tommaso Benacchio , Luca Bonaventura

Splitting methods are a widely used numerical scheme for solving convection-diffusion problems. However, they may lose stability in some situations, particularly when applied to convection-diffusion problems in the presence of an unbounded…

Numerical Analysis · Mathematics 2024-04-25 Thi Tam Dang , Trung Hau Hoang , Giandomenico Orlandi

We develop and analyze a nonlinear reduced basis (RB) method for parametrized elliptic partial differential equations based on a binary-tree partition of the parameter domain into tensor-product structured subdomains. Each subdomain is…

Numerical Analysis · Mathematics 2025-11-04 Mohamed Barakat , Diane Guignard

Physics-Informed Neural Networks (PINNs) are a powerful class of numerical solvers for partial differential equations, employing deep neural networks with successful applications across a diverse set of problems. However, their…

Numerical Analysis · Mathematics 2024-04-18 Tianhao Hu , Bangti Jin , Zhi Zhou

Unfitted boundary methods are widely used to numerically solve partial differential equations (PDEs) on irregular domains, avoiding the computational burden of generating boundary-conforming grids. In the finite-difference framework,…

Numerical Analysis · Mathematics 2026-04-20 Armando Coco , Alessandro Coclite , Stéphane Clain , Rui Miguel Pereira

In this paper, we consider the problem of piecewise affine abstraction of nonlinear systems, i.e., the overapproximation of its nonlinear dynamics by a pair of piecewise affine functions that "includes" the dynamical characteristics of the…

Optimization and Control · Mathematics 2018-11-07 Kanishka Raj Singh , Qiang Shen , Sze Zheng Yong

This paper deals with the Darcy-Forchheimer problem with two kinds of boundary conditions. We discretize the system by using the finite element methods and we propose two iterative schemes to solve the discrete problems. The well-posedness…

Numerical Analysis · Mathematics 2021-11-23 Toni Sayah

In this article, we propose a Milstein finite difference scheme for a stochastic partial differential equation (SPDE) describing a large particle system. We show, by means of Fourier analysis, that the discretisation on an unbounded domain…

Numerical Analysis · Mathematics 2012-04-09 Michael B. Giles , Christoph Reisinger

Solving analytically intractable partial differential equations (PDEs) that involve at least one variable defined on an unbounded domain arises in numerous physical applications. Accurately solving unbounded domain PDEs requires efficient…

Machine Learning · Computer Science 2026-05-12 Mingtao Xia , Lucas Böttcher , Tom Chou

This work is motivated by the frequent occurrence of boundary value problems with various boundary conditions in the modeling of some problems in engineering and physical science. Here we propose a new technique to force the positive…

Numerical Analysis · Mathematics 2019-06-19 Babak Azarnavid , Mohammad Nabati , Mahdi Emamjome , Kourosh Parand
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