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Academic literature on the topic 'Vitesse de convergence (analyse numérique)'
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Journal articles on the topic "Vitesse de convergence (analyse numérique)"
Ouardighi, Jalal El. "La spécialisation des activités technologiques des régions européennes : une approche empirique de la convergence." Recherches économiques de Louvain 71, no. 3 (2005): 315–43. http://dx.doi.org/10.1017/s0770451800044547.
Full textGuiffard, Jonathan. "Sur les rives du Potomac, le centre du système de renseignement et de cyberdéfense des États-Unis." Études françaises de renseignement et de cyber N° 2, no. 1 (June 4, 2024): 43–57. http://dx.doi.org/10.3917/efrc.232.0043.
Full textBalbi, J. H., P. A. Santoni, and J. L. Dupuy. "Dynamic modelling of fire spread across a fuel bed." International Journal of Wildland Fire 9, no. 4 (1999): 275. http://dx.doi.org/10.1071/wf00005.
Full textHartmann, Camila, Mauricio de Souza Fanfa, and Ada C. Machado da Silveira. "Reconfiguração editorial." Sur le journalisme, About journalism, Sobre jornalismo 9, no. 1 (June 15, 2020): 104–17. http://dx.doi.org/10.25200/slj.v9.n1.2020.421.
Full textAlbertini, Cyril. "Les interventions de l’enseignant au travers de l’outil numérique : quels usages pour une EPS de qualité ? Illustration en natation de vitesse." Axe 2 – Vers une éducation physique de qualité, 2021. http://dx.doi.org/10.25518/sepaps20.300.
Full textDissertations / Theses on the topic "Vitesse de convergence (analyse numérique)"
Ouafi, Abdellah. "La procédure thêta : applicaton au e-algorithme et aux suites de point fixe." Lille 1, 1989. http://www.theses.fr/1989LIL10157.
Full textBuyer, Paul de. "Vitesse de convergence vers l'équilibre de systèmes de particules en intéraction." Thesis, Paris 10, 2017. http://www.theses.fr/2017PA100080/document.
Full textIn this thesis, we are interested mainly by the diffusive behaviours and the speed of convergence towards equilibrium in the sense of the variance of different models of interacting particles systems and a problem of percolation.We start by introducing unformally the first subject of interest. In the study of dynamic systems, a markov process aperiodic and irreducible having an invariant measure converges towards it in a long time. In this work, we are interested to quantify the speed of this convergence by studying the variance of the semigroup associated to the dynamic applied to some set of functions. Two speeds of convergence are considered: the exponential speed of convergence implied by a spectral gap in the generator of the process; a polynomial tome of convergence called diffusive when the spectral gap is null.In the second chapter, we study the model of random walk in random environment and we prove in this context a diffusive behavior of the speed of convergence.in the third chapter, we study the simple exclusion process with degenerate rates in dimension 1 called ka1F. We prove bounds on the spectral gap in finite volume and a sub-diffusive behavior in infinite volume. In the fourth chapter, we study an unbounded spin model. We prove a relation betweden the covariance of the evolution of two masses and a random walk in a dynamic random environment.In the last chapter, we are interested in the model of percolation and the study of a conjecture studying the distance of graph in the sense of the percolation
Tagorti, Manel. "Sur les abstractions et les projections des processus décisionnels de Markov de grande taille." Electronic Thesis or Diss., Université de Lorraine, 2015. http://www.theses.fr/2015LORR0005.
Full textMarkov Decision Processes (MDP) are a mathematical formalism of many domains of artifical intelligence such as planning, machine learning, reinforcement learning... Solving an MDP means finding the optimal strategy or policy of an agent interacting in a stochastic environment. When the size of this system becomes very large it becomes hard to solve this problem with classical methods. This thesis deals with the resolution of MDPs with large state space. It studies some resolution methods such as: abstractions and the projection methods. It shows the limits of some approachs and identifies some structures that may be interesting for the MDP resolution. This thesis focuses also on projection methods, the Least square temporal difference algorithm LSTD(λ). An estimate of the rate of the convergence of this algorithm has been derived with an emphasis on the role played by the parameter [lambda]. This analysis has then been generalized to the case of Least square non stationary policy iteration LS(λ)NSPI . We compute a performance bound for LS([lambda])NSPI by bounding the error between the value computed given a fixed iteration and the value computed under the optimal policy, that we aim to determine
Jan, Christophe. "Vitesse de convergence dans le TCL pour des processus associés à des systèmes dynamiques et aux produits de matrices aléatoires." Rennes 1, 2001. http://www.theses.fr/2001REN10073.
Full textGuyon, Julien. "Modelisation probabiliste en finance et en biologie : Théorèmes limites et applications." Marne-la-vallée, ENPC, 2006. http://www.theses.fr/2006ENPCXXX8.
Full textHelali, Amine. "Vitesse de convergence de l'échantillonneur de Gibbs appliqué à des modèles de la physique statistique." Thesis, Brest, 2019. http://www.theses.fr/2019BRES0002/document.
Full textMonte Carlo Markov chain methods MCMC are mathematical tools used to simulate probability measures π defined on state spaces of high dimensions. The speed of convergence of this Markov chain X to its invariant state π is a natural question to study in this context.To measure the convergence rate of a Markov chain we use the total variation distance. It is well known that the convergence rate of a reversible Markov chain depends on its second largest eigenvalue in absolute value denoted by β!. An important part in the estimation of β! is the estimation of the second largest eigenvalue which is denoted by β1.Diaconis and Stroock (1991) introduced a method based on Poincaré inequality to obtain a bound for β1 for general finite state reversible Markov chains.In this thesis we use the Chen and Shiu approach to study the case of the Gibbs sampler for the 1−D Ising model with three and more states which is also called Potts model. Then, we generalize the result of Shiu and Chen (2015) to the case of the 2−D Ising model with two states.The results we obtain improve the ones obtained by Ingrassia (1994). Then, we introduce some method to disrupt the Gibbs sampler in order to improve its convergence rate to equilibrium
García, Gómez Sonia C. "Allocation et optimisation de tolérances géométriques par des polyédres prismatiques." Electronic Thesis or Diss., Bordeaux, 2023. http://www.theses.fr/2023BORD0504.
Full textGeometric and dimensional deviations of mechanical components can cause problems of assemblability and/or functionality of the mechanisms. The geometric and dimensional specifications represent the limits of the manufacturing defects of a given surface. Tolerance specification is not an easy task because (i) the assigned tolerance values affect the functionalities of a system and the manufacturing cost of its parts, and (ii) design tolerances are often interrelated and contribute to a resultant tolerance.Tolerance analysis and tolerance synthesis are the two typical ways to approach the problem of tolerance design. Tolerance synthesis is traditionally seen as a "constrained optimization problem" in which the objective function is usually a cost function, a quality function or a cost-quality.In the case of over-constrained mechanisms, the interaction of the tolerances is complex and it is not possible to describe it by means of an analytical function. Hence, it is typical to do tolerance allocation instead of tolerance synthesis. The objective of the tolerance allocation is then to complete or augment the tolerance specification, originally made from experience or empirical knowledge, by incorporating some heuristics or optimization methods.In this work we show how to do tolerance allocation using the prismatic polyhedral approach as tolerance model and the simulated annealing as the heuristic optimization algorithm. In order to do this, some intermediate problems are discussed, such us (i) quality of the operands, (ii) computational time required to do a simulation and we also develop (iii) an indicator to quantify the compliance of a mechanism with its functional condition
Durut, Matthieu. "Algorithmes de classification répartis sur le cloud." Electronic Thesis or Diss., Paris, ENST, 2012. http://www.theses.fr/2012ENST0055.
Full textHe subjects addressed in this thesis are inspired from research problems faced by the Lokad company. These problems are related to the challenge of designing efficient parallelization techniques of clustering algorithms on a Cloud Computing platform. Chapter 2 provides an introduction to the Cloud Computing technologies, especially the ones devoted to intensivecomputations. Chapter 3 details more specifically Microsoft Cloud Computing offer : Windows Azure. The following chapter details technical aspects of cloud application development and provides some cloud design patterns. Chapter 5 is dedicated to the parallelization of a well-known clustering algorithm: the Batch K-Means. It provides insights on the challenges of a cloud implementation of distributed Batch K-Means, especially the impact of communication costs on the implementation efficiency. Chapters 6 and 7 are devoted to the parallelization of another clustering algorithm, the Vector Quantization (VQ). Chapter 6 provides an analysis of different parallelization schemes of VQ and presents the various speedups to convergence provided by them. Chapter 7 provides a cloud implementation of these schemes. It highlights that it is the online nature of the VQ technique that enables an asynchronous cloud implementation, which drastically reducesthe communication costs introduced in Chapter 5
Huang, Chunmao. "Théorèmes limites et vitesses de convergence pour certains processus de branchement et des marches aléatoires branchantes." Lorient, 2010. http://www.theses.fr/2010LORIS217.
Full textThis thesis contains three parts. The first part concerns a branching process, (Zn), in a random environment. We show the asymptotic properties of moments (of positive or negative orders) of Zn, large and moderate deviation principles for log Zn, and the convergence rates of the corresponding natural martingale (in the sense almost sure, or in probability, or in Lp). The second part is devoted to the study of a branching random walk with a random environment in time on real line R, where a particle of generation n give birth to children which are scattered on R, according to a random distribution indexed by n. For the counting measure which counts the number of particles of generation n situated in a subset of R, we establish laws of large numbers, central limit theorems, large and moderate deviation principles. We also show the convergence in Lp of the natural martingale and its convergence rate. In the third part, for the natural martingales of a multiype branching random walk, we calculate their convergence rates in Lp
Yahia, Djabrane. "Conditional quantile for truncated dependent data." Littoral, 2010. http://www.theses.fr/2010DUNK0297.
Full textIn this thesis we study some asymptotic properties of the kernel conditional quantile estimator when the interest variable is subject to random left truncation. The uniform strong convergence rate of the estimator is obtained. In addition, it is shown that, under regularity conditions and suitably normalized, the kernel estimate of the conditional quantile is asymptotically normally distributed. Our interest in conditional quantile estimation is motivated by it’s robusteness, the constructing of the confidence bands and the forecasting from thime series data. Our results are obtained in a more general setting (strong mixing) which includes time series modelling as a special case