Letteratura scientifica selezionata sul tema "La Monte"

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Articoli di riviste sul tema "La Monte"

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Monte, Suzanne, M. "The AD7C-NTP neuronal thread protein biomarker for detecting Alzheimer's disease". Frontiers in Bioscience 7, n. 1-3 (2002): d989. http://dx.doi.org/10.2741/monte.

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Kuzborska, Alina. "Literary incarnations of Herkus Monte". Masuro-⁠Warmian Bulletin 300, n. 2 (4 luglio 2018): 331–54. http://dx.doi.org/10.51974/kmw-134891.

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Herkus Monte, przywódca Prusów, jest postacią historyczną, lecz jednocześnie bohaterem utworów li�terackich. Monte wielokrotnie został wymieniony w łacińskiej Kronice Ziemi Pruskiej Piotra z Dusburga już na początku XIII wieku. Te zapiski kronikarza Zakonu Niemieckiego zapoczątkowały żywotne motywy literackie pruskiego bohatera w literaturze niemieckiej, polskiej i litewskiej, w szczególności w powieści historycznej i dra�macie historycznym XIX – pierwszej połowy XX w. W niniejszym artykule zostały omówione wybrane utwory literackie poświęcone postaci najsłynniejszego Prusa w historii: od powieści Franza Lubojatzkiego z 1840 roku po najnowszą powieść Claudiusa Crönerta z 2011 roku. Również dramat historyczny różnorako konstruował po�stać Montego, np. w dramacie Maxa Worgitzkiego z 1916 roku Monte jawi się jako heros wojny, którego odwaga i determinacja budzą obawy samych Prusów, a ich porażka jest traktowana jako nieuniknioność historii, gdzie słabszy ulega silniejszemu. Podobny wydźwięk miał dramat Rolfa Laucknera z 1937 roku. W dramacie litewskiego dramaturga Juozasa Grušasa Monte jest humanistą bez Boga i bogów, który walczy w imię wolności, co można odczytać jako nierówną walkę powojennej litewskiej partyzantki z władzą komunistyczną. Powieść Botho hrabie go von Keyserlingka z 1937 roku przedstawia Montego jako szlachetnego człowieka, ukształtowanego przez dwie antagonistyczne wobec siebie kultury. Jest postacią hybrydyczną, która przeżywa podobny dylemat jak bohater Germanów – Hermann vel Arminius lub Walter Alf vel Konrad Wallenrod w poemacie Adama Mickiewicza. Faktem jest, że fikcjonalny charakter opowieści o pruskim bohaterze często służył interesom literatur narodowych.
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Neveux, Guillaume. "La pression verte qui monte, qui monte..." L'Expansion Management Review N° 135, n. 4 (2009): 20. http://dx.doi.org/10.3917/emr.135.0020.

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Caflisch, Russel E. "Monte Carlo and quasi-Monte Carlo methods". Acta Numerica 7 (gennaio 1998): 1–49. http://dx.doi.org/10.1017/s0962492900002804.

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Monte Carlo is one of the most versatile and widely used numerical methods. Its convergence rate, O(N−1/2), is independent of dimension, which shows Monte Carlo to be very robust but also slow. This article presents an introduction to Monte Carlo methods for integration problems, including convergence theory, sampling methods and variance reduction techniques. Accelerated convergence for Monte Carlo quadrature is attained using quasi-random (also called low-discrepancy) sequences, which are a deterministic alternative to random or pseudo-random sequences. The points in a quasi-random sequence are correlated to provide greater uniformity. The resulting quadrature method, called quasi-Monte Carlo, has a convergence rate of approximately O((logN)kN−1). For quasi-Monte Carlo, both theoretical error estimates and practical limitations are presented. Although the emphasis in this article is on integration, Monte Carlo simulation of rarefied gas dynamics is also discussed. In the limit of small mean free path (that is, the fluid dynamic limit), Monte Carlo loses its effectiveness because the collisional distance is much less than the fluid dynamic length scale. Computational examples are presented throughout the text to illustrate the theory. A number of open problems are described.
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Davidović, Branko, Duško Letić e Aleksandar Jovanović. "MONTE CARLO SIMULATION IN INTRALOGISTICS". MEST Journal 2, n. 1 (15 gennaio 2014): 87–93. http://dx.doi.org/10.12709/mest.02.02.01.09.

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Coakley, Robert W., David Hapgood e David Richardson. "Monte Cassino". American Historical Review 90, n. 2 (aprile 1985): 407. http://dx.doi.org/10.2307/1852699.

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Graham, Dominick, David Hapgood e David Richardson. "Monte Cassino." Military Affairs 49, n. 1 (gennaio 1985): 45. http://dx.doi.org/10.2307/1988293.

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Costa, Fabienne. "L'eau monte". Vertigo 31, n. 2 (2007): 43. http://dx.doi.org/10.3917/ver.031.0043.

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Dillehay, Tom D. "Monte Verde". Science 245, n. 4925 (29 settembre 1989): 1436. http://dx.doi.org/10.1126/science.245.4925.1436.a.

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Darack, Ed. "Monte Roraima". Weatherwise 60, n. 4 (gennaio 2007): 12–13. http://dx.doi.org/10.3200/wewi.60.4.12-13.

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Tesi sul tema "La Monte"

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Pérez-Cotapos, Ferrada Ana. "Centro de interpretación arqueológica Monte Verde, Puerto Montt". Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/142439.

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Memoria para optar al título de Arquitecto
Situado a 35km de Puerto Montt se encuentra el hallazgo arqueológico más antiguo de Chile actualmente. Con el asentamiento de Monte Verde se cuestionó una de las teorías de la población de América, desde entonces, el estrecho de Bering no sería el único acceso de los hombres a nuestro continente. Sin embargo, a pesar de la importancia que tiene este lugar, pasa desapercibido al no tener restos visibles. En los cerca de 40 años desde su descubrimiento sigue en las mismas condiciones. Con la compra de un sitio continuo al arqueológico por parte de la municipalidad, queda en evidencia la clara intención de realizar algo en el lugar. En este sitio, ubicado en la ribera del estero Chinchihuapi se plantea este proyecto. A través de un centro de interpretación se pone en valor el sitio arqueológico, el hallazgo, el lugar e incluso estero. La idea nace como una conexión al lugar del asentamiento, donde se encontraron restos de carpas de los antiguos habitantes. Los edificios se ubican dispersos bordeando el estero, este funciona como hilo conductor del proyecto. El programa se divide en seis núcleos que transportan al pasado, mostrando como era Monte Verde hace 18.500 años atrás. En estos edificios de estructura de madera y exterior de aluminio prepintado negro. Como contraposición, en las pasarelas metálicas se contempla el presente, la actualidad del sitio. A través de la interpretación se logra comprender la importancia de este hallazgo, descubriendo en el cauce del estero la historia del lugar.
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Jiménez, Parot Isabel. "Museo arqueológico de sitio Monte Verde Puerto Montt, X región, Chile". Tesis, Universidad de Chile, 2015. http://repositorio.uchile.cl/handle/2250/142784.

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Memoria para optar al título de Arquitecto
En Monte Verde, a menos de 30 kilómetros de Puerto Montt se hallaron los restos humanos más antiguos de América, que datan de más de 12.500 años desde el presente. Fue el descubrimiento de estos vestigios arqueológicos que se derribó el Consenso de Clovis, la teoría de poblamiento de América más aceptada en aquél entonces. Este es uno de los descubrimientos más importante de los últimos años y revolucionó la comunidad científica. A pesar de la importancia de Monte Verde, la población nacional e internacional aún no tiene conocimiento del lugar ni de los hallazgos de la cultura que allí tuvo lugar. El proyecto desarrollado durante el proceso de titulación busca proponer una alternativa para el Museo Arqueológico de Sitio Monte Verde, el cual por varios motivos no se ha llevado aún a cabo. Esta propuesta emplaza el edificio en el sitio mismo de los hallazgos, el cual fue declarado Monumento Nacional, es parte de nuestro patrimonio y de nuestra identidad nacional. La condición de museo de sitio busca acercar al visitante a la labor realizada por arqueólogos y ser parte del descubrimiento de el sitio pues este no ha sido excavado completamente y se han encontrado restos en todos los pozos de sondeo realizados los últimos veranos. Esta situación no permite la intervención del terreno ni que el visitante circule por el terreno, es por ello que se propone un sistema de pasarelas elevadas del suelo que permitan al visitante observar el trabajo arqueológico además de plantear un museo de carácter fijo, en un terreno aledaño, donde se exhiban y conserven los restos arqueológicos, tanto los que actualmente están en las bodegas de la Universidad Austral de Valdivia como también aquellos que serán encontrados en el futuro. Es fundamental valorar nuestro patrimonio nacional y somos nosotros los encargados de su conservación. Cada vez se han encontrado más sitios tanto de interés histórico como también científico. El proyecto desarrollado como sistemas de pasarelas podría adaptarse a los distintos sitios arqueológicos que están en etapas investigativas, protegiéndolos del posible deterioro y apropiando estos sitios tanto a habitantes como turistas.
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Janzon, Krister. "Monte Carlo Path Simulation and the Multilevel Monte Carlo Method". Thesis, Umeå universitet, Institutionen för fysik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-151975.

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A standard problem in the field of computational finance is that of pricing derivative securities. This is often accomplished by estimating an expected value of a functional of a stochastic process, defined by a stochastic differential equation (SDE). In such a setting the random sampling algorithm Monte Carlo (MC) is useful, where paths of the process are sampled. However, MC in its standard form (SMC) is inherently slow. Additionally, if the analytical solution to the underlying SDE is not available, a numerical approximation of the process is necessary, adding another layer of computational complexity to the SMC algorithm. Thus, the computational cost of achieving a certain level of accuracy of the estimation using SMC may be relatively high. In this thesis we introduce and review the theory of the SMC method, with and without the need of numerical approximation for path simulation. Two numerical methods for path approximation are introduced: the Euler–Maruyama method and Milstein's method. Moreover, we also introduce and review the theory of a relatively new (2008) MC method – the multilevel Monte Carlo (MLMC) method – which is only applicable when paths are approximated. This method boldly claims that it can – under certain conditions – eradicate the additional complexity stemming from the approximation of paths. With this in mind, we wish to see whether this claim holds when pricing a European call option, where the underlying stock process is modelled by geometric Brownian motion. We also want to compare the performance of MLMC in this scenario to that of SMC, with and without path approximation. Two numerical experiments are performed. The first to determine the optimal implementation of MLMC, a static or adaptive approach. The second to illustrate the difference in performance of adaptive MLMC and SMC – depending on the used numerical method and whether the analytical solution is available. The results show that SMC is inferior to adaptive MLMC if numerical approximation of paths is needed, and that adaptive MLMC seems to meet the complexity of SMC with an analytical solution. However, while the complexity of adaptive MLMC is impressive, it cannot quite compensate for the additional cost of approximating paths, ending up roughly ten times slower than SMC with an analytical solution.
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Jun, Seong-Hwan. "Entangled Monte Carlo". Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44953.

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A recurrent problem in statistics is that of computing an expectation involving intractable integration. In particular, this problem arises in Bayesian statistics when computing an expectation with respect to a posterior distribution known only up to a normalizing constant. A common solution is to use Monte Carlo simulation to estimate the target expectation. Two of the most commonly adopted simulation methods are Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC) methods. However, these methods fail to scale up with the size of the inference problem. For MCMC, the problem takes the form of simulations that must be ran for a long time in order to obtain an accurate inference. For SMC, one may not be able to store enough particles to exhaustively explore the state space. We propose a novel scalable parallelization of Monte Carlo simulation, Entangled Monte Carlo simulation, that can scale up with the size of the inference problem. Instead of transmitting particles over the network, our proposed algorithm reconstructs the particles from the particle genealogy using the notion of stochastic maps borrowed from perfect simulation literature. We propose bounds on the expected time for particles to coalesce based on the coalescent model. Our empirical results also demonstrate the efficacy of our method on datasets from the field of phylogenetics.
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Lee, Kevin Stuart. "City-dwelling Samnites : urban settlement at Monte Pallano and Monte Vairano". Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/58790.

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The ancient Samnites of south-central Italy have been cast by both ancient and modern authors as rough-and-tumble highlanders due to their habitation of the rugged river valleys of the southern Apennines and their ferocious resistance to Roman expansion in the fifth and fourth centuries B.C. The most visible remainders of Samnite civilization are the great fortresses of polygonal masonry that crown many hilltops and mountain peaks in the modern regioni of Abruzzo, Molise, and Campania, around which Samnite farms, villages, and sanctuaries coalesced. Since the publication of Edward Togo Salmon’s Samnium and the Samnites and the wide adoption of Adriano La Regina’s pagus-vicus model for Apenninic settlement, there has been a marked resistance in modern scholarship to characterizing the largest of these fortified centers as cities. This stands in stark contrast with ancient authors, in particular Livy, who frequently refer to Samnite population centers in urban terms. This thesis defends the ancient view of the Samnites as an urban people, with permanently occupied hill-forts as their cities. It begins with a close examination of Livy’s monumental history of Rome, in particular his narration of the Samnite Wars in the seventh through tenth books. This first chapter analyzes the terminology Livy employs to describe Samnite cities and their features, and reconstructs from the text a Roman understanding of the city. The second and third chapters review the archaeological evidence from two well-documented Samnite fastnesses, Monte Pallano and Monte Vairano, in light of this understanding to illustrate how the Romans could understand them as cities. These chapters further illuminate aspects of community, state formation, and spatial organization at these cities in light of Michael Mann’s IEMP theory of power relations and Roberto Camagni’s factors for urban genesis. This thesis provides an alternative interpretation of the literary and archaeological evidence that is more faithful to the former and as such provides a firmer foundation for understanding the latter.
Arts, Faculty of
Classical, Near Eastern and Religious Studies, Department of
Graduate
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Dickinson, Andrew Samuel. "On the analysis of Monte Carlo and quasi-Monte Carlo methods". Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.409715.

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Göncü, Ahmet. "Monte Carlo and quasi-Monte Carlo methods in pricing financial derivatives". Tallahassee, Florida : Florida State University, 2009. http://etd.lib.fsu.edu/theses/available/etd-06232009-140439/.

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Thesis (Ph. D.)--Florida State University, 2009.
Advisor: Giray Ökten, Florida State University, College of Arts and Sciences, Dept. of Mathematics. Title and description from dissertation home page (viewed on Oct. 5, 2009). Document formatted into pages; contains x, 105 pages. Includes bibliographical references.
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Berezovska, Ganna [Verfasser], e Alexander [Akademischer Betreuer] Blumen. "Monte Carlo study of semiflexible polymers = Monte Carlo Studie von semiflexiblen Polymeren". Freiburg : Universität, 2011. http://d-nb.info/1125885467/34.

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Drumond, Lorenzo. "Il Metodo Monte Carlo". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20698/.

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La tesi introduce le tecniche di approssimazione numerica note come Metodo Monte Carlo. Dopo una breve presentazione dell'apparato teorico che giustifica il funzionamento di questo metodo, si procede con uno studio sulla stima dell'errore, focalizzando l'interesse sulla dimostrazione del Teorema di Berry-Esseen. La tesi continua affrontando il tema della generazione di numeri pseudocasuali, fondamentali nel Metodo Monte Carlo, per poi finire con tre esempi di applicazione.
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Chin, Mary Pik Wai. "Monte Carlo portal dosimetry". Thesis, Cardiff University, 2005. http://orca.cf.ac.uk/54085/.

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This project developed a solution for verifying external photon beam radiotherapy. The solution is based on a calibration chain for deriving portal dose maps from acquired portal images, and a calculation framework for predicting portal dose maps. Quantitative comparison between acquired and predicted portal dose maps accomplishes both geometric (patient positioning with respect to the beam) and dosimetric (2D fluence distribution of the beam) verifications. A disagreement would indicate that beam delivery had not been according to plan. The solution addresses the clinical need for verifying radiotherapy both pre-treatment (without patient in the beam) and on-treatment (with patient in the beam). Medical linear accelerators mounted with electronic portal imaging devices (EPIDs) were used to acquire portal images. Two types of EPIDs were investigated: the amorphous silicon (a-Si) and the scanning liquid ion chamber (SLIC). The EGSnrc family of Monte Carlo codes were used to predict portal dose maps by computer simulation of radiation transport in the beam-phantom-EPID configuration. Monte Carlo simulations have been implemented on several levels of High Throughput Computing (HTC), including the Grid, to reduce computation time. The solution has been tested across the entire clinical range of gantry angle, beam size (5 cm x 5 cm to 20 cm x 20 cm), beam-patient and patient-EPID separations (4 cm to 38 cm). In these tests of known beam-phantom-EPID configurations, agreement between acquired and predicted portal dose profiles was consistently within 2% of the central axis value. This Monte Carlo portal dosimetry solution therefore achieved combined versatility, accuracy and speed not readily achievable by other techniques.
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Libri sul tema "La Monte"

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Poncela, Enrique Jardiel. Carlo Monte en Monte Carlo. Madrid: Teatro Español, 1996.

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Grande, Severiano. Monte arriba. Salamanca: Amarú Ediciones, 1994.

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Fiorentini, Graziella. Monte Adranone. Roma: Libreria dello Stato, Istituto poligrafico e Zecca dello Stato, 1995.

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Bartoloni, Piero. Monte Sirai. Roma: Libreria dello Stato, Istituto poligrafico e Zecca dello Stato, 1992.

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Woodhouse, Philip R. Monte Cristo. Seattle: Mountaineers, 1996.

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Medbourne, Paul. Monte Carlo. 2a ed. Peterborough: Thomas Cook, 2008.

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Monte Albán. México, D. F: El Colegio de México, 2008.

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Chiara, Piero. Monte Solitario. Verbania: Aliberti, 2006.

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Silva, Ferraz da. Monte buçaco. Ermesinde: Edições Ecopy, 2009.

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Silva, Ferraz da. Monte buçaco. Ermesinde: Edições Ecopy, 2009.

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Capitoli di libri sul tema "La Monte"

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Owen, Art B. "Monte Carlo, Quasi-Monte Carlo, and Randomized Quasi-Monte Carlo". In Monte-Carlo and Quasi-Monte Carlo Methods 1998, 86–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59657-5_5.

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Dillehay, Tom D. "Monte Verde". In Encyclopedia of Geoarchaeology, 538–39. Dordrecht: Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-1-4020-4409-0_97.

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Brémaud, Pierre. "Monte Carlo". In Discrete Probability Models and Methods, 457–74. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43476-6_19.

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Yourdon, Ed. "Monte Ford". In CIOs at Work, 47–69. Berkeley, CA: Apress, 2011. http://dx.doi.org/10.1007/978-1-4302-3555-2_3.

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Berlinsky, A. J., e A. B. Harris. "Monte Carlo". In Statistical Mechanics, 477–93. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28187-8_18.

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Hooten, Mevin B., e Trevor J. Hefley. "Monte Carlo". In Bringing Bayesian Models to Life, 17–23. Boca Raton, FL : CRC Press, Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429243653-3.

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Brockhaus, Oliver. "Monte Carlo". In Equity Derivatives and Hybrids, 233–52. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137349491_17.

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Marks, Robert E. "Monte Carlo". In The Palgrave Encyclopedia of Strategic Management, 1058–62. London: Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-137-00772-8_709.

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Fescourt, Henri. "Monte Cristo". In 100 Silent Films, 140–41. London: British Film Institute, 2011. http://dx.doi.org/10.1007/978-1-84457-569-5_58.

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Marks, Robert E. "Monte Carlo". In The Palgrave Encyclopedia of Strategic Management, 1–4. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-349-94848-2_709-1.

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Atti di convegni sul tema "La Monte"

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Amigo, Isabel, Bernardo Cabrera, Juan Schandy, Pablo Belzarena e Gabriel Gomez. "MONTE". In the 5th International Latin American Networking Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1636682.1636694.

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Jacobsen, Emil Juul, Rasmus Greve e Julian Togelius. "Monte Mario". In GECCO '14: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2576768.2598392.

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Chong, Jike, Ekaterina Gonina e Kurt Keutzer. "Monte Carlo methods". In the 2010 Workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1953611.1953626.

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FRENKEL, DAAN. "Monte Carlo simulations". In Proceedings of the International School of Physics. WORLD SCIENTIFIC, 1998. http://dx.doi.org/10.1142/9789812839664_0004.

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KALOS, M. H. "MONTE CARLO METHODS". In Edward Teller Centennial Symposium - Modern Physics and the Scientific Legacy of Edward Teller. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789812838001_0008.

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Sfikas, Konstantinos, Antonios Liapis e Georgios N. Yannakakis. "Monte Carlo elites". In GECCO '21: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3449639.3459321.

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Ficarelli, Federico, Andrea Bartolini, Emanuele Parisi, Francesco Beneventi, Francesco Barchi, Daniele Gregori, Fabrizio Magugliani et al. "Meet Monte Cimone". In CF '22: 19th ACM International Conference on Computing Frontiers. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3528416.3530869.

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Maasar, M. A., N. A. M. Nordin, M. Anthonyrajah, W. M. W. Zainodin e A. M. Yamin. "Monte Carlo & Quasi-Monte Carlo approach in option pricing". In 2012 IEEE Symposium on Humanities, Science and Engineering Research (SHUSER). IEEE, 2012. http://dx.doi.org/10.1109/shuser.2012.6268822.

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FAURE, HENRI. "MONTE-CARLO AND QUASI-MONTE-CARLO METHODS FOR NUMERICAL INTEGRATION". In Present and Future. WORLD SCIENTIFIC, 2001. http://dx.doi.org/10.1142/9789812799890_0001.

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10

Moser, Dallas. "Neutron Transport Modeling using Monte Carlo Codes". In Neutron Transport Modeling using Monte Carlo Codes. US DOE, 2022. http://dx.doi.org/10.2172/1909215.

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Rapporti di organizzazioni sul tema "La Monte"

1

C.E., Kenfack. Le Paysage Monte Alen/Monts De Cristal. Center for International Forestry Research (CIFOR), 2013. http://dx.doi.org/10.17528/cifor/004088.

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2

C.E., Kenfack. The Monte Alen–Monts De Cristal Landscape. Center for International Forestry Research (CIFOR), 2013. http://dx.doi.org/10.17528/cifor/004089.

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3

C.E., Kenfack. El paisaje del Monte Alén /Montes de Cristal. Center for International Forestry Research (CIFOR), 2014. http://dx.doi.org/10.17528/cifor/004507.

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4

Vogel, Thomas. Monte Carlo Methods. Office of Scientific and Technical Information (OSTI), luglio 2014. http://dx.doi.org/10.2172/1148317.

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5

Brown, F. B., e T. M. Sutton. Monte Carlo fundamentals. Office of Scientific and Technical Information (OSTI), febbraio 1996. http://dx.doi.org/10.2172/270327.

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6

Trahan, Travis. Monte Carlo Transport. Office of Scientific and Technical Information (OSTI), luglio 2022. http://dx.doi.org/10.2172/1874903.

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7

Wollaber, Allan Benton. Fundamentals of Monte Carlo. Office of Scientific and Technical Information (OSTI), giugno 2016. http://dx.doi.org/10.2172/1258353.

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8

Lewis, Elmir E. Monte Carlo Reliability Analysis. Fort Belvoir, VA: Defense Technical Information Center, aprile 1989. http://dx.doi.org/10.21236/ada210052.

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9

Lewis, E. E., e Zhuguo Tu. Monte Carlo Reliability Analysis. Fort Belvoir, VA: Defense Technical Information Center, dicembre 1986. http://dx.doi.org/10.21236/ada181406.

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10

Gubernatis, James E. A Monte Carlo Sampler. Office of Scientific and Technical Information (OSTI), ottobre 2012. http://dx.doi.org/10.2172/1052793.

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