Ordering of matrices for iterative aggregation - disaggregation methods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F09%3A00159136" target="_blank" >RIV/68407700:21110/09:00159136 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Ordering of matrices for iterative aggregation - disaggregation methods
Original language description
We show how the convergence of the iterative aggregation-disaggregation methods for computing the Perron eigenvector of a large sparse irreducible stochastic matrix can be improved by an appropriate ordering of the data and by the choice of a basic iteration matrix.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GP201%2F09%2FP500" target="_blank" >GP201/09/P500: nnn</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lecture Notes in Control and Information Sciences
ISSN
0170-8643
e-ISSN
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Volume of the periodical
2009
Issue of the periodical within the volume
389
Country of publishing house
DE - GERMANY
Number of pages
8
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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