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Analysis and data-based reconstruction of complex nonlinear dynamical systems: using the methods of stochastic processes
This book focuses on a central question in the field of complex systems: Given a fluctuating (in time or space), uni- or multi-variant sequentially measured set of experimental data (even noisy data), how should one analyse non-parametrically the data, assess underlying trends, uncover characteristi...
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| Lenguaje: | eng |
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Springer
2019
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-18472-8 http://cds.cern.ch/record/2685010 |