English
Related papers

Related papers: A Posteriori Error Bounds for Two Point Boundary V…

200 papers

An integro-differential equation of hyperbolic type, with mixed boundary conditions, is considered. A continuous space-time finite element method of degree one is formulated. A posteriori error representations based on space-time cells is…

Numerical Analysis · Mathematics 2012-11-16 Fardin Saedpanah

In this paper we prove that periodic boundary-value problems (BVPs) for delay differential equations are locally equivalent to finite-dimensional algebraic systems of equations. We rely only on regularity assumptions that follow those of…

Dynamical Systems · Mathematics 2023-10-09 Jan Sieber

We study the integration problem on Hilbert spaces of (multivariate) periodic functions. The standard technique to prove lower bounds for the error of quadrature rules uses bump functions and the pigeon hole principle. Recently, several new…

Numerical Analysis · Mathematics 2024-02-08 David Krieg , Jan Vybiral

We consider the discrete, fractional operator $\left(L_a^\nu x\right) (t) := \nabla [p(t) \nabla_{a^*}^\nu x(t)] + q(t) x(t-1)$ involving the nabla Caputo fractional difference, which can be thought of as an analogue to the self-adjoint…

Classical Analysis and ODEs · Mathematics 2018-10-11 Kevin Ahrendt , Cameron Kissler

This paper is concerned with two examples on the application of the free boundary formulation to BVPs on a semi-infinite interval. In both cases we are able to provide the exact solution of both the BVP and its free boundary formulation.…

Numerical Analysis · Mathematics 2015-03-03 Riccardo Fazio

Many evolution problems in physics are described by partial differential equations on an infinite domain; therefore, one is interested in the solutions to such problems for a given initial dataset. A prominent example is the binary black…

General Relativity and Quantum Cosmology · Physics 2015-06-04 Olivier Sarbach , Manuel Tiglio

For the numerical solution of the American option valuation problem, we provide a script written in MATLAB implementing an explicit finite difference scheme. Our main contribute is the definition of a posteriori error estimator for the…

Mathematical Finance · Quantitative Finance 2015-04-20 Riccardo Fazio

This paper develops and discusses a residual-based a posteriori error estimator for parabolic surface partial differential equations on closed stationary surfaces. The full discretization uses the surface finite element method in space and…

Numerical Analysis · Mathematics 2026-03-31 Balázs Kovács , Michael Lantelme

Error bounds have been studied for more than seventy years, beginning with the seminal result of Hoffman (1952) [{\it J. Res. Natl. Bur. Standards}, 49 (1952), 263--265], which establishes an upper bound for the distance from an arbitrary…

Optimization and Control · Mathematics 2026-05-25 Zhou Wei , Michel Thera , Jen-Chih Yao

We investigate a first boundary value problem for a second-order partial differential equation involving the Prabhakar fractional derivative in time. Using structural properties of the Prabhakar kernel and generalized Mittag-Leffler…

Analysis of PDEs · Mathematics 2026-05-20 Erkinjon Karimov , Doniyor Usmonov , Maftuna Mirzaeva

We demonstrate via several examples how the backward error viewpoint can be used in the analysis of solutions obtained by perturbation methods. We show that this viewpoint is quite general and offers several important advantages. Perhaps…

Numerical Analysis · Mathematics 2016-09-07 Robert M. Corless , Nicolas Fillion

In this paper we present a computer-assisted procedure for proving the existence of transverse heteroclinic orbits connecting hyperbolic equilibria of polynomial vector fields. The idea is to compute high-order Taylor approximations of…

Dynamical Systems · Mathematics 2019-02-22 Jan Bouwe van den Berg , Ray Sheombarsing

We consider a mixed variational formulation recently proposed for the coupling of the Brinkman--Forchheimer and Darcy equations and develop the first reliable and efficient residual-based a posteriori error estimator for the 2D version of…

Numerical Analysis · Mathematics 2024-12-02 Sergio Caucao , Paulo Zúñiga

Hamiltonian Boundary Value Methods (in short, HBVMs) is a new class of numerical methods for the efficient numerical solution of canonical Hamiltonian systems. In particular, their main feature is that of exactly preserving, for the…

Numerical Analysis · Mathematics 2010-02-24 Luigi Brugnano , Felice Iavernaro , Donato Trigiante

We propose a method for the treatment of two--point boundary value problems given by nonlinear ordinary differential equations. The approach leads to sequences of roots of Hankel determinants that converge rapidly towards the unknown…

Mathematical Physics · Physics 2007-05-29 Paolo Amore , Francisco M. Fernandez

This article is a review on basic concepts and tools devoted to a posteriori error estimation for problems solved with the Finite Element Method. For the sake of simplicity and clarity, we mostly focus on linear elliptic diffusion problems,…

Numerical Analysis · Mathematics 2021-10-06 Ludovic Chamoin , Frederic Legoll

We derive explicit solution representations for linear, dissipative, second-order Initial-Boundary Value Problems (IBVPs) with coefficients that are spatially varying, with linear, constant-coefficient, two-point boundary conditions. We…

Analysis of PDEs · Mathematics 2024-06-04 Matthew Farkas , Bernard Deconinck

We propose a novel a posteriori error estimator for conforming finite element discretizations of two- and three-dimensional Helmholtz problems. The estimator is based on an equilibrated flux that is computed by solving patchwise mixed…

Numerical Analysis · Mathematics 2021-05-05 T. Chaumont-Frelet , A. Ern , M. Vohralík

We extend the framework of a posteriori error estimation by preconditioning in [Li, Y., Zikatanov, L.: Computers \& Mathematics with Applications. \textbf{91}, 192-201 (2021)] and derive new a posteriori error estimates for H(curl)-elliptic…

Numerical Analysis · Mathematics 2023-04-06 Yuwen Li

A large number of current machine learning methods rely upon deep neural networks. Yet, viewing neural networks as nonlinear dynamical systems, it becomes quickly apparent that mathematically rigorously establishing certain patterns…

Dynamical Systems · Mathematics 2023-09-12 Christian Kuehn , Elena Queirolo
‹ Prev 1 8 9 10 Next ›