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Academic literature on the topic 'Méthodes de collocation stochastiques'
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Journal articles on the topic "Méthodes de collocation stochastiques"
Juillard, Michel, and Tarik Ocaktan. "Méthodes de simulation des modèles stochastiques d'équilibre général." Économie & prévision 183-184, no. 2 (2008): 115. http://dx.doi.org/10.3917/ecop.183.0115.
Full textOcaktan, Tarik, and Michel Juillard. "Méthodes de simulation des modèles stochastiques d'équilibre général." Économie & prévision 183, no. 2 (2008): 115–26. http://dx.doi.org/10.3406/ecop.2008.7809.
Full textHajji, Omessaad, Stéphane Brisset, Frédéric Wurtz, Pascal Brochet, and Jaime Fandino. "Comparaison des méthodes stochastiques et déterministes pour l'optimisation de dispositifs électrotechniques." Revue internationale de génie électrique 8, no. 2 (April 30, 2005): 241–58. http://dx.doi.org/10.3166/rige.8.241-258.
Full textFortin, V., T. B. M. J. Ouarda, P. F. Rasmussen, and B. Bobée. "Revue bibliographique des méthodes de prévision des débits." Revue des sciences de l'eau 10, no. 4 (April 12, 2005): 461–87. http://dx.doi.org/10.7202/705289ar.
Full textBreitkopf, Piotr, Gilbert Touzot, and Pierre Villon. "Méthodes alternatives aux éléments finis: collocation diffuse à double grille." Revue Européenne des Éléments Finis 9, no. 1-3 (January 2000): 277–93. http://dx.doi.org/10.1080/12506559.2000.10511441.
Full textBultez, Alain. "Econométrie de la compétitivité: modèles et contre-exemples." Recherche et Applications en Marketing (French Edition) 12, no. 1 (March 1997): 21–44. http://dx.doi.org/10.1177/076737019701200102.
Full textTega, Vasile, Diane Bégin, and Réal Lemieux. "Évaluation, sélection et collocation de périodiques dans les domaines de l’économie et du management." Documentation et bibliothèques 26, no. 2 (December 5, 2018): 73–80. http://dx.doi.org/10.7202/1054247ar.
Full textKOUTSOYIANNIS, DEMETRIS, HUAMING YAO, and ARIS GEORGAKAKOS. "Medium-range flow prediction for the Nile: a comparison of stochastic and deterministic methods / Prévision du débit du Nil à moyen terme: une comparaison de méthodes stochastiques et déterministes." Hydrological Sciences Journal 53, no. 1 (February 2008): 142–64. http://dx.doi.org/10.1623/hysj.53.1.142.
Full textCampillo, Fabien, Mohsen Chebbi, and Salwa Toumi. "Stochastic modeling for biotechnologies Anaerobic model AM2b." Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées Volume 28 - 2018 - 2019 -... (June 10, 2019). http://dx.doi.org/10.46298/arima.3159.
Full textLeonard, Marty, Andrew Boyne, and Sherman Boates. "Status and Management of Roseate Terns (Sterna dougallii) in Nova Scotia." Proceedings of the Nova Scotian Institute of Science (NSIS) 42, no. 2 (November 1, 2004). http://dx.doi.org/10.15273/pnsis.v42i2.3607.
Full textDissertations / Theses on the topic "Méthodes de collocation stochastiques"
Oumouni, Mestapha. "Analyse numérique de méthodes performantes pour les EDP stochastiques modélisant l'écoulement et le transport en milieux poreux." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-00904512.
Full textSilly-Carette, Jessica. "Modélisation avancée de l'absorption des ondes électromagnétiques dans les tissus biologiques : schémas en temps, approches adjointe et stochastique." Paris 6, 2008. http://www.theses.fr/2008PA066368.
Full textJannet, Basile. "Influence de la non-stationnarité du milieu de propagation sur le processus de Retournement Temporel (RT)." Thesis, Clermont-Ferrand 2, 2014. http://www.theses.fr/2014CLF22436/document.
Full textThe aim of this thesis is to measure and quantify the impacts of uncertainties in the Time Reversal (TR) process. These random variations, coming from diverse sources, can have a huge influence if they happen between the TR steps. On this perspective, the Stochastique Collocation (SC) method is used. Very good results in terms of effectiveness and accuracy had been noticed in previous studies in ElectroMagnetic Compatibility (EMC). The conclusions are still excellent here on TR problems. Although, when the problem dimension rises (high number of Random Variables (RV)), the SC method reaches its limits and the efficiency decreases. Therefore a study on Sensitivity Analysis (SA) techniques has been carried out. Indeed, these methods emphasize the respective influences of the random variables of a model. Among the various quantitative or qualitative SA techniques the Morris method and the Sobol total sensivity indices have been adopted. Since only a split of the inputs (point out of the predominant RV) is expected, they bring results at a lesser cost. That is why a novel method is built, combining SA techniques and the SC method. In a first step, the model is reduced with SA techniques. Then, the shortened model in which only the prevailing inputs remain, allows the SC method to show once again its efficiency with a high accuracy. This global process has been validated facing Monte Carlo results on several analytical and numerical TR cases subjet to random variations
Rhayma, Noureddine. "Contribution à l'évolution des méthodologies de caractérisation et d'amélioration des voies ferrées." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2010. http://tel.archives-ouvertes.fr/tel-00719102.
Full textCharrier, Julia. "Analyse numérique d’équations aux dérivées aléatoires, applications à l’hydrogéologie." Thesis, Cachan, Ecole normale supérieure, 2011. http://www.theses.fr/2011DENS0030/document.
Full textThis work presents some results about probabilistic and deterministic numerical methods for partial differential equations with stochastic coefficients, with applications to hydrogeology. We first consider the steady flow equation in porous media with a homogeneous lognormal permeability coefficient, including the case of a low regularity covariance function. We establish error estimates, both in strong and weak senses, of the error in the solution resulting from the truncature of the Karhunen-Loève expansion of the coefficient. Then we establish finite element error estimates, from which we deduce an extension of the existing error estimate for the stochastic collocation method along with an error estimate for a multilevel Monte-Carlo method. We finally consider the coupling of the previous flow equation with an advection-diffusion equation, in the case when the uncertainty is important and the correlation length is small. We propose the numerical analysis of a numerical method, which aims at computing the mean velocity of the expansion of a pollutant. The method consists in a Monte-Carlo method, combining a finite element method for the flow equation and an Euler scheme for the stochastic differential equation associated to the advection-diffusion equation, seen as a Fokker-Planck equation
Charrier, Julia. "Analyse numérique d'équations aux dérivées aléatoires, applications à l'hydrogéologie." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2011. http://tel.archives-ouvertes.fr/tel-00625092.
Full textperrin, nicolas. "Méthodes stochastiques en dynamique moléculaire." Phd thesis, Université Nice Sophia Antipolis, 2013. http://tel.archives-ouvertes.fr/tel-00833886.
Full textPerrin, Nicolas. "Méthodes stochastiques en dynamique moléculaire." Thesis, Nice, 2013. http://www.theses.fr/2013NICE4011/document.
Full textThis thesis presents two independent research topics. Both are related to the application of stochastic problems to molecular dynamics. In the first part, we present a work related to the probabilistic interpretation of the Poisson-Boltzmann equation. This equation describes the electrostatic potential of a molecular system. After an introduction to the Poisson-Boltzmann equation, we focus on the parabolic and linear equation. After extending an existence and uniqueness result for backward stochastic differential equations, we establish a probabilistic interpretation of the nonlinear Poisson-Boltzmann equation with backward stochastic differential equations. Finally, in a more prospective second part, we initiate a study of a slow and fast variables detection method due to Paul Malliavin
Arouna, Bouhari. "Algotithmes stochastiques et méthodes de Monte Carlo." Phd thesis, Ecole des Ponts ParisTech, 2004. http://pastel.archives-ouvertes.fr/pastel-00001269.
Full textArouna, Bouhari. "Méthodes de Monté Carlo et algorithmes stochastiques." Marne-la-vallée, ENPC, 2004. https://pastel.archives-ouvertes.fr/pastel-00001269.
Full textBooks on the topic "Méthodes de collocation stochastiques"
Del Moral, Pierre, and Christelle Vergé. Modèles et méthodes stochastiques. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54616-7.
Full textPrenter, P. M. Splines and variational methods. Mineola, N.Y: Dover Publications, 2008.
Find full textm, Michel Benai. Promenade ale atoire: Chai nes de Markov et simulations ; martingales et strate gies. Palaiseau: E ditions de l'E cole polytechnique, 2004.
Find full textModèles et méthodes stochastiques: Une introduction avec applications. Springer, 2014.
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