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Institution

University of Marne-la-Vallée

About: University of Marne-la-Vallée is a based out in . It is known for research contribution in the topics: Estimator & Context (language use). The organization has 831 authors who have published 1855 publications receiving 55316 citations.


Papers
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Book ChapterDOI
01 Jan 2005
TL;DR: In this article, the Navier-Stokes equations and their functional setting of the equations are discussed, and a number of useful function spaces are presented. But none of these spaces are suitable for the supercritical case.
Abstract: Introduction Section 1: Preliminaries 1.1 The Navier-Stokes equations 1.2 Classical, mild and weak solutions 1.3 Navier meets Fourier Section 2: Functional setting of the equations 2.1 The Littlewood-Paley decomposition 2.2 The Besov spaces 2.3 The paraproduct rule 2.4 The wavelet decomposition 2.5 Other useful function spaces Section 3: Existence theorems 3.1 The fixed point theorem 3.2 Scaling invariance 3.3 Super-critical case

231 citations

Journal ArticleDOI
TL;DR: This work proposes a versatile convex variational formulation for optimization over orthonormal bases that covers a wide range of problems, and establishes the strong convergence of a proximal thresholding algorithm to solve it.
Abstract: The notion of soft thresholding plays a central role in problems from various areas of applied mathematics, in which the ideal solution is known to possess a sparse decomposition in some orthonormal basis. Using convex-analytical tools, we extend this notion to that of proximal thresholding and investigate its properties, providing, in particular, several characterizations of such thresholders. We then propose a versatile convex variational formulation for optimization over orthonormal bases that covers a wide range of problems, and we establish the strong convergence of a proximal thresholding algorithm to solve it. Numerical applications to signal recovery are demonstrated.

229 citations

Journal ArticleDOI
TL;DR: In this article, a general non-parametric probabilistic approach of model uncertainties for dynamical systems has been proposed using the random matrix theory, and a comprehensive overview of this approach in developing its foundations in simple terms and illustrating all the concepts and the tools introduced in the general theory, by using a simple example.

226 citations

Journal ArticleDOI
TL;DR: In this article, the authors considered the question of whether a set of positive integers in a measure-preserving system is syndetic, i.e., the set of integers such that a positive integer n such that n(n) is a positive measure and n(kn) is an integer function of positive measure, and the size of this set depends on the length of the arithmetic progression under consideration.
Abstract: Aiming at a simultaneous extension of Khintchine’s and Furstenberg’s Recurrence theorems, we address the question if for a measure preserving system $(X,\mathcal{X},\mu,T)$ and a set $A\in\mathcal{X}$ of positive measure, the set of integers n such that $\mu(A{\cap} T^{n}A{\cap} T^{2n}A{\cap} \ldots{\cap} T^{kn}A)>\mu(A)^{k+1}-\epsilon$ is syndetic. The size of this set, surprisingly enough, depends on the length (k+1) of the arithmetic progression under consideration. In an ergodic system, for k=2 and k=3, this set is syndetic, while for k≥4 it is not. The main tool is a decomposition result for the multicorrelation sequence $\int{f(x)f(T^{n}x)f(T^{2n}x){\ldots} f(T^{kn}x) \,d\mu(x)}$ , where k and n are positive integers and f is a bounded measurable function. We also derive combinatorial consequences of these results, for example showing that for a set of integers E with upper Banach density d*(E)>0 and for all e>0, the set $$\big\{n\in\mathbb{Z}{\colon} d^*\big(E\cap(E+n)\cap(E+2n)\cap(E+3n)\big) > d^*(E)^4-\epsilon\big\}$$ is syndetic.

225 citations

Journal ArticleDOI
TL;DR: In this paper, FEFF8.2 calculations of the pre-edge features of the x-ray-absorption near-edge structure (XANES) region were undertaken for a series of Mn-bearing oxide-type compounds.
Abstract: Mn $K$ edge ab initio FEFF8.2 calculations of the pre-edge features of the x-ray-absorption near-edge structure (XANES) region were undertaken for a series of Mn-bearing oxide-type compounds. The aim of the study is to provide a reliable method for determining quantitative and accurate redox and symmetry information for manganese. In agreement with multiplet calculations by Glatzel and co-workers, FEFF8.2 predicts a doublet and a triplet for Mn(II) and Mn(III) in octahedral symmetry, respectively, in agreement with high-resolution XANES experiments. Site distortion increases notably the contribution from dipolar transitions and, consequently, the pre-edge feature integrated area. An even more intense pre-edge feature is calculated and measured for the ${T}_{d}$ symmetry (singletlike). For Mn(IV), a triplet is predicted and measured for the ${O}_{h}$ symmetry. However, additional transitions are found in Mn(IV)-rich compounds, that are related to metal-metal transitions. These transitions overlap strongly with the ``true pre-edge,'' making extraction of redox and symmetry information for Mn(IV) more challenging. However, a model of the pre-edge with pseudo-Voigt functions of fixed calculated width (based on core-hole lifetime and experimental resolution) helps to separate the contributions related to first-neighbor symmetry from those of the metal-metal pairs. Application to multivalent defective manganese oxide materials suggests that the pre-edge information varies linearly as a function of Mn redox state or symmetry but varies nonlinearly as a function of both parameters. Finally, the polymerization of the manganese networks can be estimated from the metal-metal transitions found in the pre-edge region.

221 citations


Authors

Showing all 831 results

NameH-indexPapersCitations
Dapeng Yu9474533613
Daniel Azoulay7851023979
Mehmet A. Oturan7726122682
Alfred O. Hero7389929258
Nihal Oturan6417412092
Jean-Christophe Pesquet5036413264
Eric D. van Hullebusch502659030
Christian Soize485299932
Maxime Crochemore473149836
Jean-Yves Thibon421916398
Marie-France Sagot411915972
François Farges411116349
Laurent Najman402339238
Renaud Keriven391086330
Robert Eymard391716964
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202114
202036
201940
201827
201714
201620