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A software generator for non-Gaussian, colored stochastic processes. The expected applications of the presented algorithm are as diverse as the modeling of some types of vibration or fluctuation which are typically non-Gaussian, the generation of noise which is naturally confined to a domain, or the investigation of the response of many dynamical systems embedded in noise, as the latter deviates from being Gaussian.

Sustainable Farming requires up-to-date advice on crop diseases, patterns, and adequate prevention actions to face developing …

Par@Graph is one of the first parallel algorithmic software kits to construct and analyse large-scale graphs from climate time-series.