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Multi-rate integration algorithms

a path towards efficient simulation of object-oriented models of very large systems
Authors: RANADE, AKSHAY; CASELLA, FRANCESCO;

Multi-rate integration algorithms

Abstract

Object-oriented modelling languages allow to build models of large, loosely coupled systems, as well as of multi-domain systems with fast and slow sub-systems easily. State-of-the-art simulation tools employ sophisticated techniques to efficiently turn the system DAEs into ODEs, but then rely on standard single-rate algorithms for the simulation of ODEs. These algorithms perform very poorly in the two above-mentioned classes of systems as their size grows, up to the point of making their simulation practically unfeasible. The goal of this paper is to introduce multi-rate algorithms with error control to the EOOLT community, showing through an exemplary case study the potential they have for the simulation of such large-scale systems.

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Keywords

G.1.7 [ordinary differential equations]: initial value problems; G.4 [mathematical software]: algorithm design and analysis; Human-Computer Interaction; Computer Networks and Communications; 1707; Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green