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Towards the simulation of dynamic network objects with distributed parameters based on block difference numerical methods

Authors: Volodymyr Kushnarenko; Oleksandr Miroshkin; Volodymyr Svjatnyj;

Towards the simulation of dynamic network objects with distributed parameters based on block difference numerical methods

Abstract

Dynamical technical networks and dynamic network objects (DNO) as a special case of them are considered in many subject areas as objects of research, design, quality assurance, automatization, monitoring and control. In this paper we focus on the simulation of the mine air networks (MAN) as an example of dynamic network objects with distributed parameters. To improve the simulation process, we propose to use new type of numerical methods — block difference methods (BDM). Because of the especial numerical structure these methods promise a possibility to optimize the simulation process to the parallel computing architectures. We introduce the first experimental results with a sequential version of the BDM-solvers and make a conclusion about the advisability of further steps in the direction of parallelization.

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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!
1
Average
Average
Average
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