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  • Nature of stock index interrelations 
    GOSWAMI, BEDARTHA (2011-05)
    The main goal of this study is to present an application of recurrence-based techniques in analyzing certain aspects of interrelations among stock indices of the world. In the past, financial data has been extensively ...
  • Feedback Control of Chaos and Hyper chaos 
    MADHURI, JOOLA (2012-05)
    Most of the natural systems are non-linear in nature and can exhibit irregular and complex behavior. Such complex dynamics, in general are termed as chaotic or hyper chaotic behavior, leading to irregular fluctuations and ...
  • Topology and Cascade in Power Transmission Network of India 
    CHOUDHARY, DINESH (2017-04)
    The size and complexity of power transmission networks make them good candidates for study using the framework of the complex networks. The topological properties of any network in uence the dynamics and stability of ...
  • Emergent Dynamics of Neuronal Networks with Differing Time-scales and Modular Structure 
    MOZUMDAR, KUNAL (2017-05)
    The dynamics of the mammalian brain is captured using nonlinear dynamics in the framework of complex networks. We study the dynamics of Hindmarsh- Rose neurons with time-scale mismatch in detail, for both simplistic and ...
  • Recurrence Network Analysis of Financial Data 
    AMANAGI, AMEY (2018-04)
    The project applies techniques of statistics and nonlinear dynamics on financial data to study underlying dynamics in financial markets. We have used framework suggested by George Soros to interpret our results. We have ...
  • Emergence of controlled dynamics and role of topology in complex networks 
    GAKHARE, HARSH (2018-05)
    The complexity of several systems is a confluence of the intricate structure of their interactions and the intrinsic dynamics of its constituent elements. Complex network framework can be used to study such systems ...

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