Institut Montpelliérain Alexander Grothendieck

Domaines scientifiques déclarés au RNSR

Panels ERC déclarés au RNSR

Mots-clés des publications HAL repérées

Projets ANR

• Opérades, Posets et représentations du groupe Symétrique · 2026
• Mineurs métriques · 2025
• Catégories, Géométrie, Tresses · 2025

Publications HAL récentes repérées

• A Reynolds- and Hartmann-semirobust hybrid method for magnetohydrodynamics · 2027

  Résumé de la publication : In this work, we propose and analyze a new hybrid high-order method for the Brinkman problem for fluids with power-law viscosity. The proposed method supports general meshes and arbitrary approximation orders and is robust in all regimes, from pure (power-law) Stokes to pure…

• Numerical method for solving impulse control problems in partially observed piecewise deterministic Markov processes · 2026

  Résumé de la publication : Designing efficient and rigorous numerical methods for sequential decision-making under uncertainty is a difficult problem that arises in many applications frameworks. In this paper we focus on the numerical solution of a subclass of impulse control problems for the piecewise deterministic Markov…

• Hecke cycles on moduli of vector bundles and orbital degeneracy loci · 2026

  Résumé de la publication : Given a smooth genus two curve C, the moduli space SU_C (3) of rank three semistable vector bundles on C with trivial determinant is a double cover in P^8 branched over a sextic hypersurface, whose projective dual is the famous Coble cubic,…

• Tree Pólya Splitting distributions for multivariate count data · 2026

  Résumé de la publication : In this article, we develop a new class of multivariate distributions adapted for count data, called Tree Pólya Splitting. This class results from the combination of a univariate distribution and singular multivariate distributions along a fixed partition tree. Known distributions, including the…

• Stochastic Monotone Inclusion with Closed Loop Distributions · 2026

  Résumé de la publication : In this paper, we study in a Hilbertian setting, first and second-order monotone inclusions related to stochastic optimization problems with decision-dependent distributions. The studied dynamics are formulated as monotone inclusions governed by Lipschitz perturbations of maximally monotone operators where the concept of…