For EDITORS

For READERS

All Issues

Vol.15, 2025
Vol.14, 2024
Vol.10, 2020
Vol.9, 2019
Vol.8, 2018
Vol.7, 2017
Vol.6, 2016
Vol.5, 2015
Vol.4, 2014
Vol.3, 2013
Vol.2, 2012
Vol.1, 2011
Volume 7, Number 4, 2017, Pages 1402-1416                                                                DOI:10.11948/2017085
Approximation of the linear combination of $\varphi$-functions using the block shift-and-invert Krylov subspace method
Dongping Li,Yuhao Cong
Keywords:Matrix exponential, exponential integrators, block shift-and-invert Krylov subspace, a posteriori error estimates.
Abstract:
      In this paper, we develop an algorithm in which the block shift-and-invert Krylov subspace method can be employed for approximating the linear combination of the matrix exponential and related exponential-type functions. Such evaluation plays a major role in a class of numerical methods known as exponential integrators. We derive a low-dimensional matrix exponential to approximate the objective function based on the block shift-and-invert Krylov subspace methods. We obtain the error expansion of the approximation, and show that the variants of its first term can be used as reliable a posteriori error estimates and correctors. Numerical experiments illustrate that the error estimates are efficient and the proposed algorithm is worthy of further study.
PDF      Download reader