Many natural and engineered dynamical systems, including all living objects, exhibit signatures of what can be called spontaneous dynamical long-range order (DLRO). This order’s omnipresence has long been recognized by the scientific community, as evidenced by a myriad of related concepts, theoretical and phenomenological frameworks, and experimental phenomena such as turbulence, 1/f noise, dynamical complexity, chaos and the butterfly effect, the Richter scale for earthquakes and the scale-free statistics of other sudden processes, self-organization and pattern formation, self-organized criticality, etc. Although several successful approaches to various realizations of DLRO have been established, the universal theoretical understanding of ...
This book addresses the processes of stochastic structure formation in two-dimensional geophysical f...
This book offers a unified perspective on the study of complex systems for scholars of various disci...
This monograph set presents a consistent and self-contained framework of stochastic dynamic systems ...
Many natural and engineered dynamical systems, including all living objects, exhibit signatures of w...
In this paper, we investigate numerically the stochastic ABC model, a toy model in the theory of ast...
In memory of Dr. George Zaslavsky, "Long-range Interactions, Stochasticity and Fractional Dynamics" ...
Knowledge on evolving physical fields is of paramount importance in science, technology, and economi...
It is shown that the stochastic quantization method of Parisi and Wu determines the vacuum structure...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
We extend the work of Tǎnase-Nicola and Kurchan on the structure of diffusion processes and the ass...
Stochastic resonance (SR) is a phenomenon which can be observed in some nonlinear dynamic systems un...
We consider two important time scales---the Markov and cryptic orders---that monitor how an...
This monograph is a gateway for researchers and graduate students to explore the profound, yet subtl...
We consider two important time scales-the Markov and cryptic orders-that monitor how an observer syn...
Thesis (Ph.D.)--University of Washington, 2018Stochastic dynamical systems, as a rapidly growing are...
This book addresses the processes of stochastic structure formation in two-dimensional geophysical f...
This book offers a unified perspective on the study of complex systems for scholars of various disci...
This monograph set presents a consistent and self-contained framework of stochastic dynamic systems ...
Many natural and engineered dynamical systems, including all living objects, exhibit signatures of w...
In this paper, we investigate numerically the stochastic ABC model, a toy model in the theory of ast...
In memory of Dr. George Zaslavsky, "Long-range Interactions, Stochasticity and Fractional Dynamics" ...
Knowledge on evolving physical fields is of paramount importance in science, technology, and economi...
It is shown that the stochastic quantization method of Parisi and Wu determines the vacuum structure...
Lévy processes are the natural continuous-time analogue of random walks and form a rich class of sto...
We extend the work of Tǎnase-Nicola and Kurchan on the structure of diffusion processes and the ass...
Stochastic resonance (SR) is a phenomenon which can be observed in some nonlinear dynamic systems un...
We consider two important time scales---the Markov and cryptic orders---that monitor how an...
This monograph is a gateway for researchers and graduate students to explore the profound, yet subtl...
We consider two important time scales-the Markov and cryptic orders-that monitor how an observer syn...
Thesis (Ph.D.)--University of Washington, 2018Stochastic dynamical systems, as a rapidly growing are...
This book addresses the processes of stochastic structure formation in two-dimensional geophysical f...
This book offers a unified perspective on the study of complex systems for scholars of various disci...
This monograph set presents a consistent and self-contained framework of stochastic dynamic systems ...