Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Barsamian Yann"'
Publikováno v:
ESAIM: Proceedings and Surveys, Vol 63, Pp 78-108 (2018)
In [2], 1D×1D two-species Vlasov-Poisson simulations are performed by the semi-Lagrangian method. Thanks to a classical first order dispersion analysis, we are able to check the validity of their simulations; the extension to second order is perform
Externí odkaz:
https://doaj.org/article/dc826faa57ed45f688bfab8eae197c71
Autor:
Barsamian, Yann, Chailloux, André
Inverted indexes allow to query large databases without needing to search in the database at each query. An important line of research is to construct the most efficient inverted indexes, both in terms of compression ratio and time efficiency. In thi
Externí odkaz:
http://arxiv.org/abs/2209.02089
Autor:
Chailloux, André, Barsamian, Yann
Relativistic cryptography is a proposal for achieving unconditional security that exploits the fact that no information carrier can travel faster than the speed of light. It is based on space-time constraints but doesn't require quantum hardware. Nev
Externí odkaz:
http://arxiv.org/abs/2112.01386
Publikováno v:
ARRAY 2023-Workshop-PLDI 2023
ARRAY 2023-Workshop-PLDI 2023, Jun 2023, Orlando (Florida), United States.
ARRAY 2023-Workshop-PLDI 2023, Jun 2023, Orlando (Florida), United States.
International audience; We present OptiTrust, an interactive framework for optimizing general-purpose C code via series of programmer-guided, source-to-source transformations. Optimization steps are described in transformation scripts, expressed as O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::e017aa96028b49fa00948376346d9fcd
https://inria.hal.science/hal-04053772/document
https://inria.hal.science/hal-04053772/document
Autor:
Ayot, Valentin, Badsi, Mehdi, Barsamian, Yann, Crestetto, Anaïs, Crouseilles, Nicolas, Mehrenberger, Michel, Prost, Averil, Tayou-Fotso, Christian
This article is a report of the CEMRACS 2022 project, called HIVLASHEA, standing for "High order methods for Vlasov-Poisson models for sheaths". A two-species Vlasov-Poisson model is described together with some numerical simulations, permitting to e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a2a4fa5eb78e92e83b703f9efb0917fc
https://inria.hal.science/hal-03926305/document
https://inria.hal.science/hal-03926305/document
Autor:
Barsamian, Yann
Cette thèse a pour contexte la résolution numérique du système de Vlasov–Poisson (modèle utilisé en physique des plasmas, par exemple dans le cadre du projet ITER) par les méthodes classiques particulaires (PIC pour "Particle-in-Cell") et se
Externí odkaz:
http://www.theses.fr/2018STRAD039/document
Autor:
Barsamian, Yann
Publikováno v:
Distributed, Parallel, and Cluster Computing [cs.DC]. Université de Strasbourg, 2018. English. ⟨NNT : 2018STRAD039⟩
In this thesis, we are interested in solving the Vlasov–Poisson system of equations (useful in the domain of plasma physics, for example within the ITER project), thanks to classical Particle-in-Cell (PIC) and semi-Lagrangian methods. The main cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1398::83667bf5372087e13182d7142d346e47
https://theses.hal.science/tel-02168151/file/Barsamian_Yann_2018_ED269.pdf
https://theses.hal.science/tel-02168151/file/Barsamian_Yann_2018_ED269.pdf
Akademický článek
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Autor:
Barsamian, Yann
The Maximum Subarray Problem was encountered by Ulf Grenander for maximum likelihood estimation in pattern analysis. We are given a vector (or matrix) of numbers, and we have to find the contiguous sub-vector (or sub-matrix) which has the maximum sum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::33271cf57767e14be0744fc9db11e76b
https://hal.archives-ouvertes.fr/hal-01585324/file/MSP-DAG.pdf
https://hal.archives-ouvertes.fr/hal-01585324/file/MSP-DAG.pdf
Autor:
Grigori, L., Japhet, C., Moireau, P., Barsamian, Yann, Bernier, Joackim, Hirstoaga, Sever A., Mehrenberger, Michel
Publikováno v:
ESAIM: Proceedings & Surveys; 2018, Vol. 63, p78-108, 31p