Polytechnic University of Turin

About: Polytechnic University of Turin is a education organization based out in Turin, Piemonte, Italy. It is known for research contribution in the topics: Finite element method & Nonlinear system. The organization has 11553 authors who have published 41395 publications receiving 789320 citations. The organization is also known as: POLITO & Politecnico di Torino.

Error estimates for the finite element solution of variational inequalities

Abstract: We study the mixed finite element approximation of variational inequalities, taking as model problems the so called "obstacle problem" and "unilateral problem" Optimal error bounds are obtained in both cases

Dynamic generalization of the scalar Preisach model of hysteresis

Abstract: A dynamic generalization of the Preisach hysteresis model is proposed, in which the rate of change of the flux associated with each elementary Preisach loops is not infinite, as in the standard Preisach model, but proportional to the difference between the external field and the loop threshold fields. With this assumption, the shape of the elementary Preisach loops, as well as of the macroscopic hysteresis loops, becomes dependent on the magnetizing frequency f. In particular, it is found that the loop area follows a law of the form C/sub 0/+C/sub 1/ square root f. The model is well suited to applications in the field of power loss calculations in soft magnetic materials. >

The networking shape of vehicular mobility

Abstract: Mobility is the distinguishing feature of vehicular networks, affecting the evolution of network connectivity over space and time in a unique way. Connectivity dynamics, in turn, determine the performance of networking protocols, when they are employed in vehicle-based, large-scale communication systems. Thus, a key question in vehicular networking is: which effects does nodes mobility generate on the topology of a network built over vehicles? Surprisingly, such a question has been quite overlooked by the networking research community. In this paper, we present an in-depth analysis of the topological properties of a vehicular network, unveiling the physical reasons behind the peculiar connectivity dynamics generated by a number of mobility models. Results make one think about the validity of studies conducted under unrealistic car mobility and stimulate interesting considerations on how network protocols could take advantage of vehicular mobility to improve their performance.