Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/16846
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Krmar Miodrag | - |
dc.contributor.advisor | Mihailović Dragutin | - |
dc.contributor.author | Mimić Gordan | - |
dc.contributor.other | Pavkov-Hrvojević Milica | - |
dc.contributor.other | Krmar Miodrag | - |
dc.contributor.other | Mihailović Dragutin | - |
dc.contributor.other | Arsenić Ilija | - |
dc.date.accessioned | 2020-12-13T11:07:43Z | - |
dc.date.available | 2020-12-13T11:07:43Z | - |
dc.date.issued | 2016-09-29 | - |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/16846 | - |
dc.description.abstract | <p>Ispitivan je spregnut sistem jednačina za prognozu temperature na površini i u dubljem sloju zemljišta. Računati su Ljapunovljevi eksponenti, bifurkacioni dijagram, atraktor i analiziran je domen rešenja. Uvedene su nove informacione mere bazirane na<br />Kolmogorovljevoj kompleksnosti, za kvantifikaciju stepena nasumičnosti u vremenskim serijama,. Nove mere su primenjene na razne serije dobijene merenjem fizičkih faktora životne sredine i pomoću klimatskih modela.</p> | sr |
dc.description.abstract | <p>Coupled system of prognostic equations for the ground surface temperature and the deeper layer temperature was examind. Lyapunov exponents, bifurcation diagrams, attractor and the domain of solutions were analyzed. Novel information measures based on Kolmogorov complexity and used for the quantification of randomness in time series, were presented.Novel measures were tested on various time series obtained by measuring physical factors of the environment or as the climate model outputs.</p> | en |
dc.language.iso | sr (latin script) | - |
dc.publisher | Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu | sr |
dc.publisher | University of Novi Sad, Faculty of Sciences at Novi Sad | en |
dc.source | CRIS UNS | - |
dc.source.uri | http://cris.uns.ac.rs | - |
dc.subject | chaos, information measures, randomness, entropy, Kolmogorov complexity, Lempel-Ziv algorithm, time series | en |
dc.subject | haos, informacione mere, nasumičnost, entropija, Kolmogorovljeva kompleksnost, Lempel-Zivov algoritam, vremenske serije | sr |
dc.title | Nonlinear dynamical analysis of the physical processes in the environment | en |
dc.title | Nelinearna dinamička analiza fizičkih procesa u žiivotnoj sredini | sr |
dc.type | Thesis | en |
dc.identifier.url | https://www.cris.uns.ac.rs/DownloadFileServlet/Disertacija146616250985411.pdf?controlNumber=(BISIS)101258&fileName=146616250985411.pdf&id=6057&source=BEOPEN&language=en | en |
dc.identifier.url | https://www.cris.uns.ac.rs/record.jsf?recordId=101258&source=BEOPEN&language=en | en |
dc.identifier.externalcrisreference | (BISIS)101258 | - |
dc.source.institution | Prirodno-matematički fakultet u Novom Sadu | sr |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Institut BioSense | - |
crisitem.author.orcid | 0000-0001-6879-8969 | - |
crisitem.author.parentorg | Univerzitet u Novom Sadu | - |
Appears in Collections: | PMF Teze/Theses |
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