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Since almost twenty years, modified Patankar--Runge--Kutta (MPRK) methods have proven to be efficient and robust numerical schemes that preserve positivity and conservativity of the production-destruction system irrespectively of the time…

数值分析 · 数学 2022-02-03 Thomas Izgin , Stefan Kopecz , Andreas Meister

Modified Patankar-Runge-Kutta (MPRK) methods preserve the positivity as well as conservativity of a production-destruction system (PDS) of ordinary differential equations for all time step sizes. As a result, higher order MPRK schemes do…

数值分析 · 数学 2022-10-31 Thomas Izgin , Stefan Kopecz , Andreas Meister

Recently, a stability theory has been developed to study the linear stability of modified Patankar--Runge--Kutta (MPRK) schemes. This stability theory provides sufficient conditions for a fixed point of an MPRK scheme to be stable as well…

数值分析 · 数学 2023-09-06 Thomas Izgin , Stefan Kopecz , Andreas Meister , Amandine Schilling

Production-destruction systems (PDS) of ordinary differential equations (ODEs) are used to describe physical and biological reactions in nature. The considered quantities are subject to natural laws. Therefore, they preserve positivity and…

数值分析 · 数学 2020-02-20 Philipp Öffner , Davide Torlo

Modified Patankar-Runge-Kutta (MPRK) schemes are numerical methods for the solution of positive and conservative production-destruction systems. They adapt explicit Runge-Kutta schemes to ensure positivity and conservation irrespective of…

数值分析 · 数学 2017-03-16 Stefan Kopecz , Andreas Meister

In this paper, we perform stability analysis for a class of second and third order accurate strong-stability-preserving modified Patankar Runge-Kutta (SSPMPRK) schemes, which were introduced in [4,5] and can be used to solve convection…

数值分析 · 数学 2022-05-05 Juntao Huang , Thomas Izgin , Stefan Kopecz , Andreas Meister , Chi-Wang Shu

Higher-order time integration methods that unconditionally preserve the positivity and linear invariants of the underlying differential equation system cannot belong to the class of general linear methods. This poses a major challenge for…

数值分析 · 数学 2022-02-24 Thomas Izgin , Stefan Kopecz , Andreas Meister

Many natural processes, such as chemical reactions and wave dynamics, are modeled as production-destruction (PD) systems that obey positivity and linear conservation laws. Classical time integrators do not guarantee positivity and can…

数值分析 · 数学 2026-02-18 Kamila Nurkhametova , Reid J. Gomillion , Amit N. Subrahmanya , Adrian Sandu

Modified Patankar (MP) schemes are conservative, linear implicit and unconditionally positivity preserving time-integration schemes constructed for production-destruction systems. For such schemes, a classical stability analysis does not…

数值分析 · 数学 2022-11-17 Thomas Izgin , Philipp Öffner , Davide Torlo

The work deals with two major topics concerning the numerical analysis of Runge-Kutta-like (RK-like) methods, namely their stability and order of convergence. RK-like methods differ from additive RK methods in that their coefficients are…

数值分析 · 数学 2025-06-26 Thomas Izgin

In this work modified Patankar-Runge-Kutta (MPRK) schemes up to order four are considered and equipped with a dense output formula of appropriate accuracy. Since these time integrators are conservative and positivity preserving for any time…

数值分析 · 数学 2025-01-24 Thomas Izgin

Positivity preservation of key physical quantities in the context of fluid flows, such as density and internal energy, is an essential property of a numerical scheme as otherwise the solution lacks physical relevance and has a not…

数值分析 · 数学 2026-02-18 Thomas Izgin , Andreas Meister , Chi-Wang Shu , Davide Torlo

We present a new method for developing time step controllers based on a technique from the field of machine learning. This method is applicable to stable time integrators that have an embedded scheme, i.e., that have local error estimation…

数值分析 · 数学 2025-12-23 Thomas Izgin , Hendrik Ranocha

In recent years, many positivity-preserving schemes for initial value problems have been constructed by modifying a Runge--Kutta (RK) method by weighting the right-hand side of the system of differential equations with solution-dependent…

数值分析 · 数学 2025-02-26 Thomas Izgin , David I. Ketcheson , Andreas Meister

Modified Patankar schemes are linearly implicit time integration methods designed to be unconditionally positive and conservative. In the present work we extend the Patankar-type approach to linear multistep methods and prove that the…

数值分析 · 数学 2025-02-06 Giuseppe Izzo , Eleonora Messina , Mario Pezzella , Antonia Vecchio

Based on reasonable testing model problems, we study the preservation by symplectic Runge-Kutta method (SRK) and symplectic partitioned Runge-Kutta method (SPRK) of structures for fixed points of linear Hamiltonian systems. The…

数值分析 · 数学 2008-02-18 Xiaohua Ding , Hongyu Liu , Zaijiu Shang , Geng Sun , Lingshu Wang

Stabilized Runge-Kutta methods are especially efficient for the numerical solution of large systems of stiff nonlinear differential equations because they are fully explicit. For semi-discrete parabolic problems, for instance, stabilized…

数值分析 · 数学 2022-04-05 Assyr Abdulle , Marcus J. Grote , Giacomo Rosilho de Souza

Strong Stability Preserving (SSP) time integration schemes maintain stability of the forward Euler method for any initial value problem. However, only a small subset of Runge-Kutta (RK) methods are SSP, and many efficient high-order time…

数值分析 · 数学 2026-01-28 Mohammad R. Najafian , Brian C. Vermeire

A wide range of physical phenomena exhibit auxiliary admissibility criteria, such as conservation of entropy or various energies, which arise implicitly under the exact solution of their governing PDEs. However, standard temporal schemes,…

数值分析 · 数学 2024-01-29 Mohammad R. Najafian , Brian C. Vermeire

A posteriori error estimates based on residuals can be used for reliable error control of numerical methods. Here, we consider them in the context of ordinary differential equations and Runge-Kutta methods. In particular, we take the…

数值分析 · 数学 2024-09-25 Hendrik Ranocha , Jan Giesselmann
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