Nowadays the mathematical and computational modelling of natural phenomena is usually accomplished by a single re- searcher, or a group, mastering a single method often under strong assumptions on parameters validity range. Natural processes, which encompass several spatial and time scales, currently represent a methodological challenge because they may require the knowledge of different methodologies. Since most of them behave like a concurrent and distributed sys- tems, this work aims at finding the best composition of methodologies (bridges), based on a formal method termed bf Shape calculus, valid to the full-length scale of the pa- rameter ranges of the modelled phenomenon.
Methodological Bridges for Multi-Level Systems
MERELLI, Emanuela;PAOLETTI, Nicola;
2011-01-01
Abstract
Nowadays the mathematical and computational modelling of natural phenomena is usually accomplished by a single re- searcher, or a group, mastering a single method often under strong assumptions on parameters validity range. Natural processes, which encompass several spatial and time scales, currently represent a methodological challenge because they may require the knowledge of different methodologies. Since most of them behave like a concurrent and distributed sys- tems, this work aims at finding the best composition of methodologies (bridges), based on a formal method termed bf Shape calculus, valid to the full-length scale of the pa- rameter ranges of the modelled phenomenon.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
