2010/05/01 by Marlis Hochbruck, Alexander Ostermann · 2 citations
Mathematics · Engineering · #Numerical methods for differential equations #Advanced Numerical Methods in Computational Mathematics #Differential Equations and Numerical Methods #Exponential integrator #Exponential function #Integrator #Eigenvalues and eigenvectors #Discretization #Jacobian matrix and determinant #Mathematics #Applied mathematics #Matrix exponential #Function (biology) #Differential equation #Computer science #Mathematical analysis #Ordinary differential equation #Differential algebraic equation
paper · doi:10.1017/s0962492910000048
openalex publication_date 2010/05/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
In this paper we consider the construction, analysis, implementation and application of exponential integrators. The focus will be on two types of stiff problems. The first one is characterized by a Jacobian that possesses eigenvalues with large negative real parts. Parabolic partial differential equations and their spatial discretization are typical examples. The second class consists of highly oscillatory problems with purely imaginary eigenvalues of large modulus. Apart from motivating the construction of exponential integrators for various classes of problems, our main intention in this article is to present the mathematics behind these methods. We will derive error bounds that are independent of stiffness or highest frequencies in the system. Since the implementation of exponential integrators requires the evaluation of the product of a matrix function with a vector, we will briefly discuss some possible approaches as well. The paper concludes with some applications, in which exponential integrators are used.