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Relativistic astrometry has recently become an active field of research owing to new observational technologies which allow for accuracies of a microarcsecond. To assure this accuracy in data analysis, one has to perform ray tracing in a general relativistic framework including terms of the order… |
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The distribution of the magnitudes of seismic events is generally assumed to be independent on past seismicity. However, by considering events in causal relation, for example, mother-daughter, it seems natural to assume that the magnitude of a daughter event is conditionally dependent on one of the… |
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We introduce a differential model to study damage accumulation processes in
presence of chemical reactions. The influence of micro-structure
leads to a nonlinear parabolic system characterized by the presence of a characteristic length. Here, we first present an analytical description of the… |
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In this paper, we deal with a group variable in size of pedestrians moving in a unknown confined environment and searching for an exit. Pedestrian dynamics are simulated by means of a recently introduced microscopic (agent-based) model, characterized by an exploration phase and an egress phase.… |
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Breve storia degli strumenti per il Calcolo scientifico seguendo un percorso tra i musei italiani che espongono materiali ad essi relativi. |
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We study the phase separation of a binary mixture in uniform shear flow in the framework of the continuum convection-diffusion equation based on a Ginzburg-Landau free energy. This equation is solved both numerically and in the context of large-N approximation. Our results show the existence of… |
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The dihydrogen complex Ru(H2)2H2(P(C5H9)3)2 has been investigated, via ab initio accelerated molecular dynamics, to elucidate the H ligands dynamics and possible reaction paths for H2/H exchange. We have characterized the free energy landscape associated with the H atoms positional exchange around… |
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In this paper we propose a non-linear block shrinkage
method in the wavelet domain for estimating an unknown function in
the presence of Gaussian noise. This shrinkage utilizes an
empirical Bayesian blocking approach that accounts for the
sparseness of the representation of the unknown function… |
