Добірка наукової літератури з теми "Précision mixte"
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Статті в журналах з теми "Précision mixte":
Duroudier, S., S. Chardonnel, B. Mericskay, I. Andre-Poyaud, O. Bedel, S. Depeau, T. Devogele, et al. "Diagnostic qualité et apurement des données de mobilité quotidienne issues de l’enquête mixte et longitudinale Mobi’Kids." Revue Internationale de Géomatique 30, no. 1-2 (January 2020): 127–48. http://dx.doi.org/10.3166/rig.2020.00105.
Wanko, Adrien, Gabriela Tapia-Padilla, Robert Mosé, and Caroline Gregoire. "Modélisation du transport de soluté en milieux poreux par la méthode d’éléments finis mixtes hybrides – développement d’un limiteur de flux." Revue des sciences de l'eau 22, no. 4 (October 22, 2009): 507–22. http://dx.doi.org/10.7202/038328ar.
Lucie, Xavier, Sylvie Durrieu, Anne Jolly, Sylvain Labbé, and Jean-Pierre Renaud. "Comparaison de Modèles Numériques de Surface photogrammétriques de différentes résolutions en forêt mixte. estimation d'une variable dendrométrique simple : la hauteur dominante." Revue Française de Photogrammétrie et de Télédétection, no. 213 (April 26, 2017): 143–51. http://dx.doi.org/10.52638/rfpt.2017.197.
Christ, Herbert. "De Meidinger à Ploetz, en passant par Seidenstücker, Ahn et Ollendorff, ou le chemirement de la méthodologie synthétique." Documents pour l'histoire du français langue étrangère ou seconde 12, no. 1 (1993): 5–10. http://dx.doi.org/10.3406/docum.1993.972.
AGABRIEL, J. "Avant-propos." INRAE Productions Animales 20, no. 2 (June 7, 2007): 107–8. http://dx.doi.org/10.20870/productions-animales.2007.20.2.3442.
Bambini, Laura, James R. Daley, Calvin Fenton, Gerard A. L. Gray, Glenford James, Lloyd Martin, Stephen Mendes, and Steffen Oppel. "Current population status of four endemic Caribbean forest birds in Montserrat." Journal of Caribbean Ornithology 30, no. 1 (December 16, 2017): 2–9. http://dx.doi.org/10.55431/jco.2017.30(1).2-9.
Deveikienė, Vaiva, and Steponas Deveikis. "EDUARDO ANDRĖ LIETUVOJE KURTŲ PARKŲ ISTORINĖS IR MENINĖS RAIDOS TYRIMAI: NAUJAUSI FAKTAI, ATRADIMAI IR ĮŽVALGOS." JOURNAL OF ARCHITECTURE AND URBANISM 35, no. 3 (September 30, 2011): 184–99. http://dx.doi.org/10.3846/tpa.2011.20.
Cretu, Eleonora, Anita Long, and Kalliopi Stilos. "Facteurs facilitant ou contraignant l’utilisation, par les infirmières en pratique clinique d’oncologie, du système de mesure de la charge de travail GRASP pour offrir des soins axés sur les patients." Canadian Oncology Nursing Journal 32, no. 4 (October 24, 2022): 473–83. http://dx.doi.org/10.5737/23688076324473.
Soula, Florian, Paolo Fallavollita, Luca Zappino, Marco Balsi, Salvatore Esposito, and Maria Grazia Melis. "Remote sensing in archaeology. The state of the art and presentation of metadata research project's preliminary results." Revue Française de Photogrammétrie et de Télédétection, no. 216 (April 19, 2018): 61–79. http://dx.doi.org/10.52638/rfpt.2018.352.
BAUMONT, René, and Jean-Louis PEYRAUD. "avant-propos." INRA Productions Animales 28, no. 1 (January 10, 2020): 3–4. http://dx.doi.org/10.20870/productions-animales.2015.28.1.3005.
Дисертації з теми "Précision mixte":
Rappaport, Ari. "Estimations d'erreurs a posteriori et adaptivité en approximation numérique des EDPs : régularisation, linéarisation, discrétisation et précision en virgule flottante." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS057.
This thesis concerns a posteriori error analysis and adaptive algorithms to approximately solve nonlinear partial differential equations (PDEs). We consider PDEs of both elliptic and degenerate parabolic type. We also study adaptivity in floating point precision of a multigrid solver of systems of linear algebraic equations. In the first two chapters, we consider elliptic PDEs arising from an energy minimization problem. The a posteriori analysis therein is based directly on the difference of the energy in the true and approximate solution. The nonlinear operators of the elliptic PDEs we consider are strongly monotone and Lipschitz continuous. In this context, an important quantity is the “strength of the nonlinearity” given by the ratio L/α where L is the Lipschitz continuity constant and α is the (strong) monotonicity constant. In Chapter 1 we study an adaptive algorithm comprising adaptive regularization, discretization, and linearization. The algorithm is applied to an elliptic PDE with a nonsmooth nonlinearity. We derive a guaranteed upper bound based on primal-dual gap based estimator. Moreover, we isolate components of the error corresponding to regularization, discretization, and linearization that lead to adaptive stopping criteria. We prove that the component estimators converge to zero in the respective limits of regularization, discretization, and linearization steps of the algorithm. We present numerical results demonstrating the effectiveness of the algorithm. We also present numerical evidence of robustness with respect to the aforementioned ratio L/α which motivates the work in the second chapter. In Chapter 2, we consider the question of efficiency and robustness of the primal-dual gap error estimator. We in particular consider an augmented energy difference, for which we establish independence of the ratio L/α (robustness) for the Zarantonello linearization and only patch-local and computable dependence for other linearization methods including the Newton linearization. Numerical results are presented to substantiate the theoretical developments. In Chapter 3 we turn our attention to the problem of adaptive regularization for the Richards equation. The Richards equation appears in the context of porous media modeling. It contains nonsmooth nonlinearities, which are amenable to the same approach we adopt in Chapter 1. We develop estimators and an adaptive algorithm where the estimators are inspired by estimators based on the dual norm of the residual. We test our algorithm on a series of numerical examples coming from the literature. In Chapter 4 we provide details for an efficient implementation of the equilibrated flux, a crucial ingredient in computing the error estimators so far discussed. The implementation relies on the multi-threading paradigm in the Julia programming language. An additional loop is introduced to avoid memory allocations, which is crucial to obtain parallel scaling. In Chapter 5 we consider a mixed precision iterative refinement algorithm with a geometric multigrid method as the inner solver. The multigrid solver inherently provides an error estimator of the algebraic error which we use in the stopping criterion for the iterative refinement. We present a benchmark to demonstrate the speedup obtained by using single precision representations of the sparse matrices involved. We also design an adaptive algorithm that uses the aforementioned estimator to identify when iterative refinement in single precision fails and is able to recover and solve the problem fully in double precision
Zulian, Marine. "Méthodes de sélection et de validation de modèles à effets mixtes pour la médecine génomique." Thesis, Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAX003.
The study of complex biological phenomena such as human pathophysiology, pharmacokinetics of a drug or its pharmacodynamics can be enriched by modelling and simulation approaches. Technological advances in genetics allow the establishment of data sets from larger and more heterogeneous populations. The challenge is then to develop tools that integrate genomic and phenotypic data to explain inter-individual variability. In this thesis, we develop methods that take into account the complexity of biological data and the complexity of underlying processes. Curation steps of genomic covariates allow us to limit the number of potential covariates and limit correlations between covariates. We propose an algorithm for selecting covariates in a mixed effects model whose structure is constrained by the physiological process. In particular, we illustrate the developed methods on two medical applications: actual high blood pressure data and simulated tramadol (opioid) metabolism data
Combes, François. "Optimisation de protocoles dans les modèles non linéaires à effets mixtes : prise en compte de la précision d'estimation des paramètres individuels et impact sur la détection de covariables en pharmacocinétique." Paris 7, 2014. http://www.theses.fr/2014PA077016.
Non-Linear Mixed-effect models (NLMEM) are widely used in pharmacometrics. Using MNLEM, individual parameters can be estimated using a Bayesian approach such as the maximum a posteriori. The design, that is to say the number of samples per subject and their timing, influence the precision of the individual estimates and their shrinkage, ie their regression to the mean. We implemented an approximation of the Bayesian Fisher information matrix (Mzi) using a first-order linearization of the model. From M5,,, we proposed a method to predict the shrinkage associated with a given design. We performed simulation studies based on two pharmacokinetics models to validate this prediction. Then, we explored the impact of the design on the power of tests to detect covariate effect on the model. The Likelihood Ratio Test (LRT) and the Correlation Test (CT) are the most usual tests in NLMEM. LRT requires estimating models parameters under all the assumptions considered. CT is faster because only based on individual estimates, but was considered influenced by the shrinkage. Through a simulation study, we explored the relationship between the shrinkage and the power of these tests. Results showed that for different designs and different covariate effect sizes, the two tests have exactly the same power. As a conclusion, because of its faster execution, we therefore advise to use the CT in the initial screening of relevant covariates and then build the final covariate model using the LRT
Тези доповідей конференцій з теми "Précision mixte":
Baranes, M., and T. Fortin. "Planification et chirurgie guidée - Avis d’experts : Apports des nouvelles technologies en implantologie : de la planification à la réalisation de la prothèse provisoire immédiate." In 66ème Congrès de la SFCO. Les Ulis, France: EDP Sciences, 2020. http://dx.doi.org/10.1051/sfco/20206601011.