Littérature scientifique sur le sujet « Géométrie intrinsèque »
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Articles de revues sur le sujet "Géométrie intrinsèque"
Philipps, Nathalia, Pierre P. Kastendeuch et Georges Najjar. « Analyse de la variabilité spatio-temporelle de l’îlot de chaleur urbain à Strasbourg (France) ». Climatologie 17 (2020) : 10. http://dx.doi.org/10.1051/climat/202017010.
Texte intégralAguilar, Jean-Christophe, et Jean-Paul Zolesio. « Coque fluide intrinsèque sans approximation géométrique ». Comptes Rendus de l'Académie des Sciences - Series I - Mathematics 326, no 11 (juin 1998) : 1341–46. http://dx.doi.org/10.1016/s0764-4442(98)80191-2.
Texte intégralBourqui, David. « La conjecture de Manin géométrique pour une famille de quadriques intrinsèques ». Manuscripta Mathematica 135, no 1-2 (22 octobre 2010) : 1–41. http://dx.doi.org/10.1007/s00229-010-0403-z.
Texte intégralBangratz, Jean-Louis. « Calcul explicite du coefficient de sécurité au glissement d’un sol meuble et détermination du cercle de rupture le plus probable avec 3 formules simples ». Revue Française de Géotechnique, no 179 (2024) : 3. http://dx.doi.org/10.1051/geotech/2024022.
Texte intégralAdmin, Admin, OUEDRAOGO Ningwendé P.F, NDIAYE Abdoulaye, NDOYE Jean M. N, DIA Abdarahmane, SANE André D, KINKPE Charles V.A et GUEYE Alioune B. « Etude radiologique de la pente tibiale en fonction de la présence ou non d’une atteinte du ligament croisé antérieur. » Journal Africain d'Imagerie Médicale (J Afr Imag Méd). Journal Officiel de la Société de Radiologie d’Afrique Noire Francophone (SRANF). 12, no 1 (13 avril 2020). http://dx.doi.org/10.55715/jaim.v12i1.65.
Texte intégralThèses sur le sujet "Géométrie intrinsèque"
Roth, Julien. « Rigidité des hypersurfaces en géométrie riemannienne et spinorielle : Aspect extrinsèque et intrinsèque ». Phd thesis, Université Henri Poincaré - Nancy I, 2006. http://tel.archives-ouvertes.fr/tel-00120756.
Texte intégralCotsakis, Ryan. « Sur la géométrie des ensembles d'excursion : garanties théoriques et computationnelles ». Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ5007.
Texte intégralThe excursion set EX(u) of a real-valued random field X on R^d at a threshold level u ∈ R is the subset of the domain R^d on which X exceeds u. Thus, the excursion set is random, and its distribution at a fixed level u is determined by the distribution of X. Being subsets of R^d, excursion sets can be studied in terms of their geometrical properties as a means of obtaining partial information about the distributional properties of the underlying random fields.This thesis investigates(a) how the geometric measures of an excursion set can be inferred from a discrete sample of the excursion set, and(b) how these measures can be related back to the distributional properties of the random field from which the excursion set was obtained.Each of these points are examined in detail in Chapter 1, which provides a broad overview of the results found throughout the remainder of this manuscript. The geometric measures that we study (for both excursion sets and deterministic subsets of R^d) when addressing point (a) are the (d − 1)-dimensional surface area measure, the reach, and the radius of r-convexity. Each of these quantities can be related to the smoothness of the boundary of the set, which is often difficult to infer from discrete samples of points. To address this problem, we make the following contributions to the field of computational geometry:• In Chapter 2, we identify the bias factor in using local counting algorithms for computing the (d − 1)-dimensional surface area of excursion sets over a large class of tessellations of R^d. The bias factor is seen to depend only on the dimension d and not on the precise geometry of the tessellation.• In Chapter 3, we introduce a pseudo-local counting algorithm for computing the perimeter of excursion sets in two-dimensions. The proposed algorithm is multigrid convergent, and features a tunable hyperparameter that can be chosen automatically from accessible information.• In Chapter 4, we introduce the β-reach as a generalization of the reach, and use it to prove the consistency of an estimator for the reach of closed subsets of R^d. Similarly, we define a consistent estimator for the radius of r-convexity of closed subsets of R^d. New theoretical relationships are established between the reach and the radius of r-convexity.We also study how these geometric measures of excursion sets relate to the distribution of the random field.• In Chapter 5, we introduce the extremal range: a local, geometric statistic that characterizes the spatial extent of threshold exceedances at a fixed level threshold u ∈ R. The distribution of the extremal range is completely determined by the distribution of the excursion set at the level u. We show how the extremal range is distributionally related to the intrinsic volumes of the excursion set. Moreover, the limiting behavior of the extremal range at large thresholds is studied in relation to the peaks-over-threshold stability of the underlying random field. Finally, the theory is applied to real climate data to measure the degree of asymptotic independence present, and its variation throughout space.Perspectives on how these results may be improved and expanded upon are provided in Chapter 6
Paliard, Chloé. « Dimension reduction for fluid simulation and animation ». Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAT023.
Texte intégralDespite tremendous improvements in graphics hardware performance aswell as key algorithmic advancements since the beginning of the years 2000, some natural phenomena remain extremely costly to simulate. For instance, several tracks have been proposed to improve the performance of fluid simulations, that are animated by solving partial differential equations (PDE), more specifically the highlynon-linear Navier-Stokes equations. In this thesis, we first explore the use of deep learning to create a reduced space in which a solver can operate with lower costs, while still out putting high-quality solutions. We propose a model that enables the simulation of turbulent flows at a resolution four times higher than that of the given input in each dimension, with improved runtime performance compared to a high-resolution solver. Secondly, we use the contributions on intrinsic operators for simulating fluids on 3D surfaces with reduced costs. We focus on the smoothed-particle hydrodynamics (SPH) model that we adapt to 3D surfaces, by gathering the particles' neighborhoods thanks to shortest-path geodesics, and by displacing such particles in an intrinsic manner on the surface. All of this is straightforward to implement on the GPU, enablingthe simulation of tens of thousands of particles on various triangle meshes at interactive speed
Cornillac, Mélanie. « Morphing multirésolution de courbes ». Phd thesis, Université de Grenoble, 2010. http://tel.archives-ouvertes.fr/tel-00581474.
Texte intégralAhmad, Ola. « Stochastic representation and analysis of rough surface topography by random fields and integral geometry - Application to the UHMWPE cup involved in total hip arthroplasty ». Phd thesis, Ecole Nationale Supérieure des Mines de Saint-Etienne, 2013. http://tel.archives-ouvertes.fr/tel-00905519.
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