Institute of Information Theory and Automation

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Prof. Oleksandr Rezunenko, Ph.D.

Position: 
research associate
Mail: 
Room: 
Fax: 
284683031
Phone: 
266052267
Research interests: 
Partial differential equations (with delays in state)
Publications ÚTIA: 
list
2016-01-28 14:55

Person detail

Duration: 2016 - 2018
Systems of partial differential equations (PDE) and ordinary differential equations (ODE) are studied from the point of view of Dynamical systems methods. Many problems from biology, chemistry, mechanics, control, information transmission, economics and other fields are changing in time and so they can be described by different types of Dynamical systems.
Duration: 2012 - 2014
Differential equations form a tool that is frequently used for describing a great variety of dynamical systems. The developed theory of differential equations gives a possibility to study different kinds of processes like those with a finite number of degrees of freedom (ordinary differential equations), systems with distributed parameters (partial differential equations), systems with memory (d