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We propose and analyze novel adaptive algorithms for the numerical solution of elliptic partial differential equations with parametric uncertainty. Four different marking strategies are employed for refinement of stochastic Galerkin finite…

Numerical Analysis · Mathematics 2019-10-08 Alex Bespalov , Dirk Praetorius , Leonardo Rocchi , Michele Ruggeri

In this paper, we study the convergence of adaptive mixed interior penalty discontinuous Galerkin method for H(curl)-elliptic problems. We first get the mixed model of H(curl)-elliptic problem by introducing a new intermediate variable.…

Numerical Analysis · Mathematics 2023-01-05 K. Liu , M. Tang , X. Q. Xing , L. Q. Zhong

The purpose of the paper is to provide a characterization of the error of the best polynomial approximation of composite functions in weighted spaces. Such a characterization is essential for the convergence analysis of numerical methods…

Numerical Analysis · Mathematics 2023-08-14 Luisa Fermo , Concetta Laurita , Maria Grazia Russo

In this work, we consider a rational approximation of the exponential function to design an algorithm for computing matrix exponential in the Hermitian case. Using partial fraction decomposition, we obtain a parallelizable method, where the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-30 Frédéric Hecht , Sidi-Mahmoud Kaber , Lucas Perrin , Alain Plagne , Julien Salomon

We present efficient approximation of the error function obtained by Fourier expansion of the exponential function $\exp [{- {(t - 2 \sigma)^2}/4}]$. The error analysis reveals that it is highly accurate and can generate numbers that match…

Numerical Analysis · Mathematics 2013-08-16 S. M. Abrarov , B. M. Quine

The primal-dual gap is a natural upper bound for the energy error and, for uniformly convex minimization problems, also for the error in the energy norm. This feature can be used to construct reliable primal-dual gap error estimators for…

Numerical Analysis · Mathematics 2019-02-12 Sören Bartels , Marijo Milicevic

In this paper, we propose a novel adaptive finite element method for an elliptic equation with line Dirac delta functions as a source term. We first study the well-posedness and global regularity of the solution in the whole domain. Instead…

Numerical Analysis · Mathematics 2022-07-12 Huihui Cao , Hengguang Li , Nianyu Yi , Peimeng Yin

The numerical simulation of complex physical processes requires the use of economical discrete models. This lecture presents a general paradigm of deriving a posteriori error estimates for the Galerkin finite element approximation of…

Numerical Analysis · Mathematics 2025-10-20 Rolf Rannacher

A posteriori residual and hierarchical upper bounds for the error estimates were proved when solving the hypersingular integral equation on the unit sphere by using the Galerkin method with spherical splines. Based on these a posteriori…

Numerical Analysis · Mathematics 2024-12-20 Duong Thanh Pham , Tung Le

This paper develops a posteriori error estimates of residual type for conforming and mixed finite element approximations of the fourth order Cahn-Hilliard equation $u_t+\De\bigl(\eps \De u-\eps^{-1} f(u)\bigr)=0$. It is shown that the {\it…

Numerical Analysis · Mathematics 2007-08-17 Xiaobing Feng , Haijun Wu

While many methods exist to discretize nonlinear time-dependent partial differential equations (PDEs), the rigorous estimation and adaptive control of their discretization errors remains challenging. In this paper, we present a methodology…

Numerical Analysis · Mathematics 2017-06-15 Xunxun Wu , Kristoffer van der Zee , Gorkem Simsek , Harald Van Brummelen

Floating-point arithmetic performance determines the overall performance of important applications, from graphics to AI. Meeting the IEEE-754 specification for floating-point requires that final results of addition, subtraction,…

Mathematical Software · Computer Science 2024-04-02 Lucas M. Dutton , Christopher Kumar Anand , Robert Enenkel , Silvia Melitta Müller

The main goal of this paper is to analyze a family of "simplest possible" initial data for which, as shown by numerical simulations, the incompressible Euler equations have multiple solutions. We take here a first step toward a rigorous…

Analysis of PDEs · Mathematics 2020-02-07 Alberto Bressan , Wen Shen

We derive a residual based a-posteriori error estimate for the outer normal flux of approximations to {the diffusion problem with variable coefficient}. By analyzing the solution of the adjoint problem, we show that error indicators in the…

Numerical Analysis · Mathematics 2021-10-26 Silvia Bertoluzza , Erik Burman , Cuiyu He

This work reviews goal-oriented a posteriori error control, adaptivity and solver control for finite element approximations to boundary and initial-boundary value problems for stationary and non-stationary partial differential equations,…

Numerical Analysis · Mathematics 2024-12-02 Bernhard Endtmayer , Ulrich Langer , Thomas Richter , Andreas Schafelner , Thomas Wick

We perform the a posteriori error analysis of residual type of a transmission problem with sign changing coefficients. According to [6] if the contrast is large enough, the continuous problem can be transformed into a coercive one. We…

Numerical Analysis · Mathematics 2010-09-17 Serge Nicaise , Juliette Venel

We study iterative finite element approximations for the numerical approximation of semilinear elliptic boundary value problems with monotone nonlinear reactions of subcritical growth. The focus of our contribution is on an optimal a priori…

Numerical Analysis · Mathematics 2025-08-18 Florian Spicher , Thomas P. Wihler

In this article, a reliable and efficient a posteriori error estimator of residual type is derived for a class of discontinuous Galerkin methods for the frictional contact problem with reduced normal compliance which is modeled as a…

Numerical Analysis · Mathematics 2021-04-19 Kamana Porwal , Tanvi

In this paper, we consider matrix completion with absolute deviation loss and obtain an estimator of the median matrix. Despite several appealing properties of median, the non-smooth absolute deviation loss leads to computational challenge…

Machine Learning · Statistics 2020-06-19 Weidong Liu , Xiaojun Mao , Raymond K. W. Wong

In the present work, we derive functional upper bounds for the potential error arising from finite-element boundary-element coupling formulations for a nonlinear Poisson-type transmission problem. The proposed a posteriori error estimates…

Numerical Analysis · Mathematics 2026-02-17 Alexander Freiszlinger , Dirk Pauly , Dirk Praetorius , Michael Schomburg