| Type of Material: | Thesis |
| Title: | Study of multifractal characteristics and correlation behavior in complex systems |
| Researcher: | Mayukha, Pal |
| Guide: | Manimaran P. | Madhusudana Rao P. |
| Department: | Department of Physics |
| Publisher: | Jawaharlal Nehru Technological University, Hyderabad |
| Place: | Hyderabad |
| Year: | 2016 |
| Language: | English |
| Subject: | Complex systems | Multifractals | Physical Sciences | Physics | Physics Multidisciplinary | Physics | Physical and Basic Sciences |
| Dissertation/Thesis Note: | PhD; Department of Physics, Jawaharlal Nehru Technological University, Hyderabad, Hyderabad; 2016 |
| Fulltext: | Shodhganga |
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| 008 | __ | 240726t2016||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_454212 |
| 040 | __ | |aJNTU_500028|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aMayukha, Pal|eResearcher |
| 110 | __ | |aDepartment of Physics|bJawaharlal Nehru Technological University, Hyderabad|dHyderabad|ein|0U-0017 |
| 245 | __ | |aStudy of multifractal characteristics and correlation behavior in complex systems |
| 260 | __ | |aHyderabad|bJawaharlal Nehru Technological University, Hyderabad|c2016 |
| 300 | __ | |a145p.|dDVD |
| 502 | __ | |cDepartment of Physics, Jawaharlal Nehru Technological University, Hyderabad, Hyderabad|d2016|bPhD |
| 518 | __ | |dMarch 2016|oDate of Award |
| 518 | __ | |oDate of Registration|d2012-01-01 |
| 520 | __ | |aAll natural systems would not be so complex, nonlinear without presence of fluctuations or random processes which makes the observations interesting and worthwhile. Using statistical mechanics and its macroscopic counterpart thermodynamics,which forms the mathematical theory; one can understand the magnitude and time scale of these natural or spontaneous fluctuations to analyze system behavior. It is also worth specifying that all natural complex systems could be represented in form of a time series. Non-stationary time series have been investigated through several approaches. In particular, the characterization of fluctuations and their scaling behavior have been the focus for many studies, since they reveal the nature of the dynamics. The availability of large amount of data in various fields such as finance, Physical, Biological, and Physiological process has attracted considerable attention for such study. These non-stationary time series are well known to exhibit multiple characteristics depending on t |
| 650 | __ | |aPhysics|2UGC |
| 650 | __ | |aPhysical and Basic Sciences|2AIU |
| 653 | __ | |aComplex systems |
| 653 | __ | |aMultifractals |
| 653 | __ | |aPhysical Sciences |
| 653 | __ | |aPhysics |
| 653 | __ | |aPhysics Multidisciplinary |
| 700 | __ | |aManimaran P.|eGuide |
| 700 | __ | |eCo-Guide|aMadhusudana Rao P. |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/290385|yShodhganga |
| 905 | __ | |afromsg |
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