Carlo de Marchesetti

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Estimation Monte Carlo sans modèle de politiques de décision

RÉSUMÉ. Cet article propose un estimateur de l’espérance du retour de politiques de décision déterministes en boucle fermée à partir d’un échantillon de transitions d’un système dynamique. Cet estimateur, appelé en anglais “Model-free Monte Carlo (MFMC) estimator”, calcule une moyenne des retours d’un ensemble de “trajectoires artificielles” construites à partir de de la politique à évaluer ain...

متن کامل

Simulació Monte Carlo De Sistemes Amb Acoblament De Graus De Llibertat

Monte Carlo simulation of a two-dimensional lattice gas model of orientable particles is used to study the coupling between the Smectic-Nematic phase transition and the orientational order parameter in Liquid Crystals. The phase diagram of the model is obtained, and the critical behaviour of the Smectic-Nematic-like transition studied. Results can be qualitatively compared with experimental dat...

متن کامل

Découverte de sous-groupes avec les arbres de recherche de Monte Carlo

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau...

متن کامل

CARLO: Modelo Ontológico de Contexto para Recomendação de Objetos de Aprendizagem em Ambientes Pervasivos

Pervasive environments are places that have abundant resources and as a consequence the analysis and selection of a small set of interesting resources may become a difficult task. Learning objects are important resources for teaching and so are the targets resources of the recommendation process proposed here. To recommend such objects an ontological context model consisting of four dimensions ...

متن کامل

Evaluating Quasi-Monte Carlo (QMC) algorithms in blocks decomposition of de-trended

The length of equal minimal and maximal blocks has eected on logarithm-scale logarithm against sequential function on variance and bias of de-trended uctuation analysis, by using Quasi Monte Carlo(QMC) simulation and Cholesky decompositions, minimal block couple and maximal are founded which are minimum the summation of mean error square in Horest power.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Österreichische botanische Zeitschrift

سال: 1883

ISSN: 0029-8948,2199-6881

DOI: 10.1007/bf01638860