It is now well-known that one can reconstruct sparse or compressible signals accurately from a very limited number of measurements, possibly contaminated with noise. This technique known as “compressed sensing” or “compressive sampling” relies on properties of the sensing matrix such as the restricted isometry property . In this Note, we establish new results about…
Comptes Rendus Mathématique Template
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About the Comptes Rendus Mathématique format
Comptes Rendus Mathématique is a peer-reviewed journal published by Elsevier, covering Advanced Mathematical Modeling in Engineering, Algebraic Geometry and Number Theory, Geometric Analysis and Curvature Flows.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Comptes Rendus Mathématique 12 (2023) 45–58.
Formats any DOI in Comptes Rendus Mathématique style. No sign-up. |
| Publishes research in | Advanced Mathematical Modeling in Engineering Algebraic Geometry and Number Theory Geometric Analysis and Curvature Flows Advanced Algebra and Geometry Nonlinear Partial Differential Equations |
| ISSN | 1631-073X |
| Citation impact (2-yr) | 0.66 |
| h-index | 77 |
| i10-index | 1,511 |
| Total citations | 60,721 |
| Open access | Yes |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.sciencedirect.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Comptes Rendus Mathématique per year
Citation impact of Comptes Rendus Mathématique by publication year
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Most-cited papers in Comptes Rendus Mathématique
We present an efficient reduced-basis discretization procedure for partial differential equations with nonaffine parameter dependence. The method replaces nonaffine coefficient functions with a collateral reduced-basis expansion which then permits an (effectively affine) offline–online computational decomposition. The essential components of the approach are (i) a good collateral reduced-basis approximation space, (ii) a stable and inexpensive interpolation…
Nous introduisons ici une approche générale pour modéliser des jeux avec un très grand nombre de joueurs. Plus précisément, nous considérons des équilibres de Nash à N joueurs pour des problèmes stochastiques en temps long et déduisons rigoureusement les équations de type « champ moyen » quand N tend vers l'infini. Nous prouvons également des…
Nous poursuivons dans cette Note notre étude de la notion de jeux à champ moyen introduite dans une Note précédente. Nous considérons ici le cas d'équilibres de Nash pour des problèmes de type contrôle stochastique en horizon fini. Nous donnons des résultats généraux d'existence et d'unicité pour les systèmes d'équations aux dérivées partielles ainsi obtenus.…
We study a level-set method for numerical shape optimization of elastic structures. Our approach combines the level-set algorithm of Osher and Sethian with the classical shape gradient. Although this method is not specifically designed for topology optimization, it can easily handle topology changes for a very large class of objective functions. Its cost is moderate…