Abstract. We study the computational power of Piecewise Constant Derivative (PCD) systems. PCD systems are dynamical systems dened by a piecewise constant dierential equation and can be considered as computational machines working on a continuous space with a continu-ous time. We show that the computation time of these machines can be measured either as a discrete value, called discrete time, or as a continu-ous value, called continuous time. We prove that the languages recognized by PCD systems in dimension d in nite continuous time are precisely the languages of the d2th level of the arithmetical hierarchy. Hence we provide a precise characterization of the computational power of purely rational PCD systems in continuous time according to...
This paper presents a theory that enables to interpret natural processes as special purpose analog c...
We consider various extensions and modifications of Shannon's General Purpose Analog Computer, ...
The outcomes of this article are twofold. Implicit complexity. We provide an implicit characterizati...
) Olivier Bournez Laboratoire de l'Informatique du Parall'elisme Ecole Normale Sup'e...
We study the computational power of Piecewise Constant Derivative (PCD) systems. PCD systems are dyn...
We study the computational power of Piecewise Constant Derivative (PCD) systems. PCD systems are dyn...
Article dans revue scientifique avec comité de lecture.We study the computational power of Piecewise...
We study the computational power of rational Piecewise Constant Derivative (PCD) systems. PCD system...
(eng) We study the computational power of rational Piecewise Constant Derivative (PCD) systems. PCD ...
AbstractIn this paper, we characterize the computational power of dynamical systems with piecewise c...
In this paper, we characterize the computational power of dynamical systems with piecewise constant ...
Article dans revue scientifique avec comité de lecture.In this paper, we characterize the computatio...
In this paper, we characterize the computational power of dynamical systems with piecewise constant ...
AbstractIn this paper, we characterize the computational power of dynamical systems with piecewise c...
We explore the simulation and computational capabilities of discrete and continuous dynamical system...
This paper presents a theory that enables to interpret natural processes as special purpose analog c...
We consider various extensions and modifications of Shannon's General Purpose Analog Computer, ...
The outcomes of this article are twofold. Implicit complexity. We provide an implicit characterizati...
) Olivier Bournez Laboratoire de l'Informatique du Parall'elisme Ecole Normale Sup'e...
We study the computational power of Piecewise Constant Derivative (PCD) systems. PCD systems are dyn...
We study the computational power of Piecewise Constant Derivative (PCD) systems. PCD systems are dyn...
Article dans revue scientifique avec comité de lecture.We study the computational power of Piecewise...
We study the computational power of rational Piecewise Constant Derivative (PCD) systems. PCD system...
(eng) We study the computational power of rational Piecewise Constant Derivative (PCD) systems. PCD ...
AbstractIn this paper, we characterize the computational power of dynamical systems with piecewise c...
In this paper, we characterize the computational power of dynamical systems with piecewise constant ...
Article dans revue scientifique avec comité de lecture.In this paper, we characterize the computatio...
In this paper, we characterize the computational power of dynamical systems with piecewise constant ...
AbstractIn this paper, we characterize the computational power of dynamical systems with piecewise c...
We explore the simulation and computational capabilities of discrete and continuous dynamical system...
This paper presents a theory that enables to interpret natural processes as special purpose analog c...
We consider various extensions and modifications of Shannon's General Purpose Analog Computer, ...
The outcomes of this article are twofold. Implicit complexity. We provide an implicit characterizati...