dc.contributor.author |
Siettos, C |
en |
dc.date.accessioned |
2014-03-01T01:59:17Z |
|
dc.date.available |
2014-03-01T01:59:17Z |
|
dc.date.issued |
2010 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/28890 |
|
dc.relation.uri |
http://arxiv.org/abs/1012.4194 |
en |
dc.relation.uri |
http://www.informatik.uni-trier.de/~ley/db/journals/corr/corr1012.html#abs-1012-4194 |
en |
dc.subject |
Bifurcation Analysis |
en |
dc.subject |
Bifurcation Diagram |
en |
dc.subject |
Coarse Grained |
en |
dc.subject |
Computer Analysis |
en |
dc.subject |
Connected Graph |
en |
dc.subject |
Epidemic Model |
en |
dc.subject |
Mathematical Model |
en |
dc.subject |
Optimal Method |
en |
dc.subject |
Simulated Annealing |
en |
dc.subject |
Stationary State |
en |
dc.subject |
Steady State |
en |
dc.subject |
Time Dependent |
en |
dc.title |
Equation-Free Multiscale Computational Analysis of Individual-Based Epidemic Dynamics on Networks |
en |
heal.type |
journalArticle |
en |
heal.publicationDate |
2010 |
en |
heal.abstract |
The surveillance, analysis and ultimately the efficient long-term predictionand control of epidemic dynamics appear to be one of the major challengesnowadays. Detailed atomistic mathematical models play an important role towardsthis aim. In this work it is shown how one can exploit the Equation Freeapproach and optimization methods such as Simulated Annealing to bridgedetailed individual-based epidemic |
en |
heal.journalName |
Computing Research Repository |
en |