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Realizing semicomputable simplices by computable dynamical systems
(2022)
We study the computability of the set of invariant measures of a computable dynamical system. It is known to be semicomputable but not computable in general, and we investigate which semicomputable simplices can be realized ...
Dynamic models for computer viruses
(ELSEVIER ADVANCED TECHNOLOGY, 2008)
Computer viruses are an important risk to computational systems endangering either corporations of all sizes or personal computers used for domestic applications. Here, classical epidemiological models for disease propagation ...
DYNAMICS OF REVERSE SALIENCE AS TECHNOLOGICAL PERFORMANCE GAP: AN EMPIRICAL STUDY OF THE PERSONAL COMPUTERTECHNOLOGY SYSTEM
(Universidad Alberto Hurtado. Facultad de Economía y Negocios, 2008)
On non-linear and non-ideal interactions in two vibrating problems
(2008-06-17)
In practical situations, the dynamics of the forcing function on a vibrating system cannot be considered as given a priori, and it must be taken as a consequence of the dynamics of the whole system. In other words, the ...
On non-linear and non-ideal interactions in two vibrating problems
(2008-06-17)
In practical situations, the dynamics of the forcing function on a vibrating system cannot be considered as given a priori, and it must be taken as a consequence of the dynamics of the whole system. In other words, the ...
Dynamics and control design via LQR and SDRE methods for a maglev system
(2015-01-01)
Several experimental maglev systems all around the world, mainly in Germany and Japan have demonstrated that this mode of transportation can profitably compete with air travel. However, a system such as the German maglev ...
Configurational temperature in constrained systems: The case of spin dynamics
(Institute of Physics Publishing, 2018)
© 2018 IOP Publishing Ltd. A general mathematical expression to estimate the temperature in computer simulations of constrained systems is obtained. Using a recently derived theorem which relates the ensemble average of ...
Combining reservoir computing and variational inference for efficient one-class learning on dynamical systems
(IEEE, 2017)
Usually, time series acquired from some measure-ment in a dynamical system are the main source of infor-mation about its internal structure and complex behavior. Inthis situation, trying ...