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The Strang splitting method, formally of order two, can suffer from order reduction when applied to semilinear parabolic problems with inhomogeneous boundary conditions. The recent work [L .Einkemmer and A. Ostermann. Overcoming order…

数值分析 · 数学 2020-07-02 Guillaume Bertoli , Gilles Vilmart

For diffusion-reaction equations employing a splitting procedure is attractive as it reduces the computational demand and facilitates a parallel implementation. Moreover, it opens up the possibility to construct second-order integrators…

数值分析 · 数学 2017-01-06 Lukas Einkemmer , Alexander Ostermann

Splitting methods constitute a well-established class of numerical schemes for solving convection-diffusion-reaction problems. They have been shown to be effective in solving problems with periodic boundary conditions. However, in the case…

数值分析 · 数学 2025-02-14 Thi Tam Dang , Lukas Einkemmer , Alexander Ostermann

We show that the Strang splitting method applied to a diffusion-reaction equation with inhomogeneous general oblique boundary conditions is of order two when the diffusion equation is solved with the Crank-Nicolson method, while order…

偏微分方程分析 · 数学 2021-04-23 Guillaume Bertoli , Christophe Besse , Gilles Vilmart

Splitting methods constitute a well-established class of numerical schemes for the time integration of partial differential equations. Their main advantages over more traditional schemes are computational efficiency and superior geometric…

数值分析 · 数学 2017-01-06 Lukas Einkemmer , Alexander Ostermann

Strang splitting is a widely used second-order method for solving diffusion-reaction problems. However, its convergence order is often reduced to order $1$ for Dirichlet boundary conditions and to order $1.5$ for Neumann and Robin boundary…

数值分析 · 数学 2025-11-12 Thi Tam Dang , Lukas Einkemmer , Alexander Ostermann

We study the second order elliptic equations of non-divergence form in a planar domain with complicated geometry. In this case the domain winds around a fixed circle infinitely many times and converges to it when the rotating angle goes to…

偏微分方程分析 · 数学 2026-02-18 Luan Hoang , Akif Ibragimov

Strang splitting is a well established tool for the numerical integration of evolution equations. It allows the application of tailored integrators for different parts of the vector field. However, it is also prone to order reduction in the…

数值分析 · 数学 2018-08-14 Lukas Einkemmer , Martina Moccaldi , Alexander Ostermann

Operator splitting methods combined with finite element spatial discretizations are studied for time-dependent nonlinear Schr\"odinger equations. In particular, the Schr\"odinger-Poisson equation under homogeneous Dirichlet boundary…

数值分析 · 数学 2016-12-22 Winfried Auzinger , Thomas Kassebacher , Othmar Koch , Mechthild Thalhammer

This paper studies bulk-surface splitting methods of first order for (semi-linear) parabolic partial differential equations with dynamic boundary conditions. The proposed Lie splitting scheme is based on a reformulation of the problem as a…

数值分析 · 数学 2021-08-19 Robert Altmann , Balázs Kovács , Christoph Zimmer

In this paper, we suggest a technique to avoid order reduction in time when integrating reaction-diffusion boundary value problems under non-homogeneous boundary conditions with exponential splitting methods. More precisely, we consider…

数值分析 · 数学 2017-05-05 Isaías Alonso-Mallo , Begoña Cano , Nuria Reguera

In general, high order splitting methods suffer from an order reduction phenomena when applied to the time integration of partial differential equations with non-periodic boundary conditions. In the last decade, there were introduced…

数值分析 · 数学 2026-04-08 Ramona Häberli

Exponential Runge-Kutta methods are a well-established tool for the numerical integration of parabolic evolution equations. However, these schemes are typically developed under the assumption of homogeneous boundary conditions. In this…

数值分析 · 数学 2025-10-27 Carlos Arranz-Simón , Alexander Ostermann

We consider applying the Strang splitting to semilinear parabolic problems. The key ingredients of the Strang splitting are the decomposition of the equation into several parts and the computation of approximate solutions by combining the…

数值分析 · 数学 2019-10-16 Kosuke Nakano , Tomoya Kemmochi , Yuto Miyatake , Tomohiro Sogabe , Shao-Liang Zhang

In this paper we consider splitting methods in the presence of non-homogeneous boundary conditions. In particular, we consider the corrections that have been described and analyzed in Einkemmer, Ostermann 2015 and Alonso-Mallo, Cano,…

数值分析 · 数学 2018-08-14 Lukas Einkemmer , Alexander Ostermann

We consider Lie and Strang splitting for the time integration of constrained partial differential equations with a nonlinear reaction term. Since such systems are known to be sensitive with respect to perturbations, the splitting procedure…

数值分析 · 数学 2016-07-27 Robert Altmann , Alexander Ostermann

In this paper we prove convergence results for homogenization problem for solutions of partial differential system with rapidly oscillating Dirichlet data. Our method is based on analysis of oscillatory integrals. In the uniformly convex…

偏微分方程分析 · 数学 2013-10-22 Hayk Aleksanyan , Henrik Shahgholian , Per Sjölin

We study the numerical approximation of time-dependent, possibly degenerate, second-order Hamilton-Jacobi-Bellman equations in bounded domains with nonhomogeneous Dirichlet boundary conditions. It is well known that convergence towards the…

数值分析 · 数学 2025-03-27 Elisabetta Carlini , Athena Picarelli , Francisco J. Silva

In this paper we consider the numerical approximation of a general second order semi-linear parabolic partial differential equation. Equations of this type arise in many contexts, such as transport in porous media. Using finite element…

数值分析 · 数学 2020-11-18 Jean Daniel Mukam , Antoine Tambue

The Strang splitting method has been widely used to solve nonlinear reaction-diffusion equations, with most theoretical convergence analysis assuming periodic boundary conditions. However, such analysis presents additional challenges for…

数值分析 · 数学 2025-04-11 Chaoyu Quan , Zhijun Tan , Yanyao Wu
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