@Article{JCM-31-2,
author = {},
title = {An Accelerated Waveform Relaxation Approach Based on Model Order Reduction for Large Coupling Systems},
journal = {Journal of Computational Mathematics},
year = {2013},
volume = {31},
number = {2},
pages = {190--208},
abstract = {<p style="text-align: justify;">In this paper, we present an accelerated simulation approach on waveform relaxation using Krylov subspace for a large time-dependent system composed of some subsystems. This approach first allows these subsystems to be decoupled by waveform relaxation. Then the Arnoldi procedure based on Krylov subspace is provided to accelerate the simulation of the decoupled subsystems independently. For the new approach, the convergent conditions on waveform relaxation are derived. The robust behavior is also successfully illustrated via numerical examples.</p>},
issn = {1991-7139},
doi = {https://doi.org/10.4208/jcm.1210-m4016},
url = {https://global-sci.com/article/84674/an-accelerated-waveform-relaxation-approach-based-on-model-order-reduction-for-large-coupling-systems}
}