Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Kalda, Jaan"'
Autor:
Belikov, Juri, Kalda, Jaan
The COVID-19 pandemic triggered a question of how to measure and evaluate adequacy of the applied restrictions. Available studies propose various methods mainly grouped to statistical and machine learning techniques. The current paper joins this line
Externí odkaz:
http://arxiv.org/abs/2202.03141
We consider the cumulant generating function of the logarithm of the distance between two infinitesimally close trajectories of a chaotic system. Its long-time behavior is given by the generalized Lyapunov exponent $\gamma(k)$ providing the logarithm
Externí odkaz:
http://arxiv.org/abs/1904.12923
Publikováno v:
Proceedings of the Estonian Academy of Sciences, No. 68/1, 2019
Revealing the community structure exhibited by real networks is a fundamental phase towards a comprehensive understanding of complex systems beyond the local organization of their components. Community detection techniques help on providing insights
Externí odkaz:
http://arxiv.org/abs/1812.04250
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena September 2022 162
Publikováno v:
European Physical Journal B, 2017
Complex networks have gained much attention from different areas of knowledge in recent years. Particularly, the structures and dynamics of such systems have attracted considerable interest. Complex networks may have characteristics of multifractalit
Externí odkaz:
http://arxiv.org/abs/1710.03534
This paper presents the first topological analysis of the economic structure of an entire country based on payments data obtained from Swedbank. This data set is exclusive in its kind because around 80% of Estonia's bank transactions are done through
Externí odkaz:
http://arxiv.org/abs/1602.04352
Majority of theoretical results regarding turbulent mixing are based on the model of ideal flows with zero correlation time. We discuss the reasons why such results may fail for real flows and develop a scheme which makes it possible to match real fl
Externí odkaz:
http://arxiv.org/abs/1510.02854
Autor:
Mandre, Indrek, Kalda, Jaan
Intersection of a random fractal or self-affine set with a linear manifold or another fractal set is studied, assuming that one of the sets is in a translational motion with respect to the other. It is shown that the mass of such an intersection is a
Externí odkaz:
http://arxiv.org/abs/1307.4242
Autor:
Mandre, Indrek, Kalda, Jaan
Monte-Carlo simulations are routinely used for estimating the scaling exponents of complex systems. However, due to finite-size effects, determining the exponent values is often difficult and not reliable. Here we present a novel technique of dealing
Externí odkaz:
http://arxiv.org/abs/1303.0294
Publikováno v:
In Marine Pollution Bulletin April 2019 141:573-585