471 citations
- Institut Polytechnique de BordeauxFR283 papers
- Centre National de la Recherche ScientifiqueFR202 papers
- Château GombertFR189 papers
- Aix-Marseille UniversitéFR178 papers
- Centrale MéditerranéeFR75 papers
- Institut de Mécanique et d'Ingénierie de BordeauxFR74 papers
- Centre de Physique ThéoriqueFR19 papers
- Laboratoire de Mathématiques Blaise PascalFR13 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR13 papers
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616 papers
Null-controllability for some linear parabolic systems with controls acting on different parts of the domain and its boundary
Guillaume Olive
In this work we study the null-controllability properties of linear parabolic systems with constant coefficients in the case where several controls are acting on different distribu…
Frequencies of Patterns in Smooth Sequences Over the Alphabet
Damien Jamet, Irène Marcovici, Léo Poirier +1
We provide an ergodic theory framework to study statistical properties of smooth sequences over the odd alphabet {1,3}. The arithmetic nature of this alphabet yields a partition of…
Game-Theoretic Analysis of Transaction Selection in DAG-Based Distributed Ledgers
Sebastian Müller, Alexandre Reiffers-Masson
Transaction selection in parallel or DAG-based distributed ledger technologies (DLTs) is a crucial challenge that directly impacts throughput, fairness, and validator incentives. I…
On the local anisotropy of quasi-two-dimensional forced shallow flow: An experimental study
Ghassan Antar, Jamal El Kuweiss, Kai Schneider +2
We experimentally investigate quasi-two-dimensional (Q2D) forced shallow flows in the presence of solid boundaries and analyze the deviation from the Kolmogorov-Kraichnan (KK) theo…
Nondiffusive transport of inertial heavy impurities in drift-wave turbulence
Zetao Lin, Benjamin Kadoch, Sadruddin Benkadda +1
We investigate the transport behavior of tungsten impurities with finite inertia in drift-wave turbulence using the Hasegawa-Wakatani model. Unlike previous tracer-based models, ou…
Clustering Approaches for Mixed-Type Data: A Comparative Study
Badih Ghattas, Alvaro Sanchez San-Benito
Clustering is widely used in unsupervised learning to find homogeneous groups of observations within a dataset. However, clustering mixed-type data remains a challenge, as few exis…