When f(x)=2 x (mod 1) is simulated in a finite discretized space, with random round-off error, the dynamical states can be modeled as belonging to a family of Markov chains. We completely characterize the invariant measure of the discretized dynamics in terms of easily computable stationary measures of the chains
In this paper we discuss an efficient iterative method for the estimation of the chief dynamical inv...
In this paper, we discuss an efficient iterative method for the estimation of the chief dynamical in...
The chaoticity of the Mixmaster is discussed in the framework of Statistical Mechanics by using Misn...
Invariant measures of dynamical systems generated e. g. by dierence equa-tions can be computed by di...
We discuss some recent results related to the deduction of a suitable probabilistic model for the de...
International audienceUsing recent results on measure theory and algebraic geometry, we show how sem...
AbstractComputer simulations of dynamical systems contain discretizations, where finite machine arit...
SIGLETIB: RO 2556 (14) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbib...
This paper describes the application of the homotopy perturbations method (HPM) in the computation o...
We treat a special type of Markov chain with a finite state space. This type of Markov chain often a...
AbstractWe define and calculate the probability density in phase space and the information entropy o...
We consider finite-state Markov chains driven by stationary ergodic invertible processes representin...
We survey an area of recent development, relating dynamics to theoretical computer science. We disc...
AbstractWe consider random dynamical systems with jumps. The Hausdorff dimension of invariant measur...
We studied invariant measures and invariant densities for dynamical systems with random switching (s...
In this paper we discuss an efficient iterative method for the estimation of the chief dynamical inv...
In this paper, we discuss an efficient iterative method for the estimation of the chief dynamical in...
The chaoticity of the Mixmaster is discussed in the framework of Statistical Mechanics by using Misn...
Invariant measures of dynamical systems generated e. g. by dierence equa-tions can be computed by di...
We discuss some recent results related to the deduction of a suitable probabilistic model for the de...
International audienceUsing recent results on measure theory and algebraic geometry, we show how sem...
AbstractComputer simulations of dynamical systems contain discretizations, where finite machine arit...
SIGLETIB: RO 2556 (14) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische Informationsbib...
This paper describes the application of the homotopy perturbations method (HPM) in the computation o...
We treat a special type of Markov chain with a finite state space. This type of Markov chain often a...
AbstractWe define and calculate the probability density in phase space and the information entropy o...
We consider finite-state Markov chains driven by stationary ergodic invertible processes representin...
We survey an area of recent development, relating dynamics to theoretical computer science. We disc...
AbstractWe consider random dynamical systems with jumps. The Hausdorff dimension of invariant measur...
We studied invariant measures and invariant densities for dynamical systems with random switching (s...
In this paper we discuss an efficient iterative method for the estimation of the chief dynamical inv...
In this paper, we discuss an efficient iterative method for the estimation of the chief dynamical in...
The chaoticity of the Mixmaster is discussed in the framework of Statistical Mechanics by using Misn...