4 resultados para Méthode de projection

em Universidad Politécnica de Madrid


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This paper introduces and studies the notion of CLP projection for Constraint Handling Rules (CHR). The CLP projection consists of a naive translation of CHR programs into Constraint Logic Programs (CLP). We show that the CLP projection provides a safe operational and declarative approximation for CHR programs. We demónstrate moreover that a confluent CHR program has a least model, which is precisely equal to the least model of its CLP projection (closing henee a ten year-old conjecture by Abdenader et al.). Finally, we illustrate how the notion of CLP projection can be used in practice to apply CLP analyzers to CHR. In particular, we show results from applying AProVE to prove termination, and CiaoPP to infer both complexity upper bounds and types for CHR programs.

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Les méthodes d'optimisation statiques(c'est-a-dire des systemes dont les parametres n'.évoluent pas avec le temps) peuvent se diviser en deux grandes classes : les méthodes directes et les méthodes indirectes. Les premieres ocalisent le vecteur optimum par des mouvements tratégiques dans l'espace correspondant. Elles nécessitent la connaissance de la valeur de la fonction critere a chaque point, mais non la forme algébrique, ni ses dérivées.

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Dans le problème de la synthèse d'une machine séquentielle, on peut, grosso modo, distinguer trois étapes : le passage des données du système à construire à la représentation tabulée (table de fluence ou table des phases, dans le cas d'un système asynchrone);le codage des états internes de cette table (de façon,dans le cas d'une machine synchrone, à obtenir si possible une décomposition en sous-machines, et,dans le cas d'une machine asynchrone, de façon à éviter les phénomènes de courses et d'aléas); enfin,l'écriture des équations et le dessin du schéma logique de la machine (en essayant par exemple de minimaliser le nombre de composants nécessaires à la. réalisation du circuit).

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Extreme events of maximum and minimum temperatures are a main hazard for agricultural production in Iberian Peninsula. For this purpose, in this study we analyze projections of their evolution that could be valid for the next decade, represented in this study by the 30-year period 2004-2034 (target period). For this purpose two kinds of data were used in this study: 1) observations from the station network of AEMET (Spanish National Meteorological Agency) for five Spanish locations, and 2) simulated data at a resolution of 50 50 km horizontal grid derived from the outputs of twelve Regional Climate Models (RCMs) taken from project ENSEMBLES (van der Linden and Mitchell, 2009), with a bias correction (Dosio and Paruolo, 2011; Dosio et al., 2012) regarding the observational dataset Spain02 (Herrera et al., 2012). To validate the simulated climate, the available period of observations was compared to a baseline period (1964-1994) of simulated climate for all locations. Then, to analyze the changes for the present/very next future, probability of extreme temperature events for 2004-2034 were compared to that of the baseline period. Although only minor changes are expected, small variations in variability may have a significant impact in crop performance.