Frederic Magoules, FIMA, FBCS

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Abal-Kassim Cheik Ahamedphd mathématiques appliquées et informatiqueVerified email at ecp.fr
Guillaume Gbikpi-BenissanCentraleSupélec, Université Paris-SaclayVerified email at ecp.fr
madayProfesseur de mathématiques appliquées, Université Pierre et Marie Curie, Laboratoire J.-L. LionsVerified email at ann.jussieu.fr
Qinmeng ZouBeijing University of Posts and TelecommunicationsVerified email at bupt.edu.cn
Roman PutanowiczInstitute of Computational Civil Engineering, Cracow University of TechnologyVerified email at l5.pk.edu.pl
Martin GanderUniversity of GenevaVerified email at unige.ch
DANIEL B. SZYLDDepartment of Mathematics, Temple University, PhiladelphiaVerified email at temple.edu
Alessandra CervinoCEO of Luxia ScientificVerified email at luxia-scientific.com
Florian Plaza OñateINRAEVerified email at inrae.fr
Stanislav Dusko EhrlichUniversity College LondonVerified email at ucl.ac.uk
Fabrice HuetUniversity of Nice Sophia-AntipolisVerified email at unice.fr
Guillaume HouzeauxTeam Leader, Barcelona Supercomputing CenterVerified email at bsc.es
Frederic NatafSenior Scientist at CNRS, Laboratory J.L. LionsVerified email at ann.jussieu.fr
Charbel FarhatVivian Church Hoff Professor in the School of Engineering, Stanford UniversityVerified email at stanford.edu
Armel de la BourdonnayeINSA Hauts-de-FranceVerified email at insa-hdf.fr
Le Chatelier EmmanuelleVerified email at inrae.fr
Yann Le BiannicData Science Chief Expert, SAPVerified email at sap.com
Ge SongEcole Centrale ParisVerified email at ecp.fr
Tianrui Li (李天瑞)Professor of School of Information Science and Technology, Southwest Jiaotong universityVerified email at swjtu.edu.cn
José C. GarayPostdoctoral Researcher, University of AugsburgVerified email at uni-a.de

Frederic Magoules, FIMA, FBCS

Professor of Applied Mathematics & Computer Science, Universite Paris Saclay, CentraleSupelec

Verified email at ecp.fr - Homepage

Computational Mathematics Domain Decomposition Finite Element Analysis Parallel Computing Computational Acoustics


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A review on the prediction of building energy consumption H Zhao, F Magoulès Renewable and Sustainable Energy Reviews 16 (6), 3586-3592, 2012	1943	2012
Optimized Schwarz methods without overlap for the Helmholtz equation MJ Gander, F Magoulès, F Nataf SIAM Journal on Scientific Computing 24 (1), 38-60, 2002	466	2002
Two-level domain decomposition methods with Lagrange multipliers for the fast iterative solution of acoustic scattering problems C Farhat, A Macedo, M Lesoinne, FX Roux, F Magoulés, AL Bourdonnaie Computer Methods in Applied Mechanics and Engineering 184 (2), 213-239, 2000	163	2000
An optimized Schwarz method with two‐sided Robin transmission conditions for the Helmholtz equation MJ Gander, L Halpern, F Magoules International Journal for Numerical Methods in Fluids 55 (2), 163-175, 2007	153	2007
Resource pricing and equilibrium allocation policy in cloud computing F Teng, F Magoules Computer and Information Technology (CIT), 2010 IEEE 10th International …, 2010	149	2010
Parallel support vector machines applied to the prediction of multiple buildings energy consumption HX Zhao, F Magoulès Journal of Algorithms & Computational Technology 4 (2), 231-249, 2010	134	2010
A new game theoretical resource allocation algorithm for cloud computing F Teng, F Magoulès Advances in Grid and Pervasive Computing, 321-330, 2010	116	2010
Introduction to grid computing F Magoulès, J Pan, KA Tan, A Kumar CRC Press, USA, 2009	111	2009
Numerical investigations of stabilized finite element computations for acoustics I Harari, F Magoulès Wave Motion 39 (4), 339-349, 2004	104	2004
Development of an RDP Neural Network for Building Energy Consumption Fault Detection Diagnosis F Magoulès, H Zhao, D Elizondo Energy and Buildings 62, 133-138, 2013	95	2013
A non-overlapping domain decomposition method for the exterior Helmholtz problem A de La Bourdonnaye, C Farhat, A Macedo, F Magoulès, FX Roux Contemporary Mathematics 218 (2), 42-66, 1998	94	1998
Feature selection for predicting building energy consumption based on statistical learning method HX Zhao, F Magoulès Journal of Algorithms & Computational Technology 6 (1), 59-77, 2012	91	2012
Vapnik's learning theory applied to energy consumption forecasts in residential buildings F Lai, F Magoulès, F Lherminier International Journal of Computer Mathematics 85 (10), 1563-1588, 2008	90	2008
Lagrangian formulation of domain decomposition methods: A unified theory F Magoulès, FX Roux Applied Mathematical Modelling 30 (7), 593-615, 2006	87	2006
MSPminer: abundance-based reconstitution of microbial pan-genomes from shotgun metagenomic data F Plaza Onate, E Le Chatelier, M Almeida, ACL Cervino, F Gauthier, ... Bioinformatics 35 (9), 1544-1552, 2019	85	2019
MSPminer: abundance-based reconstitution of microbial pan-genomes from shotgun metagenomic data F Plaza Onate, E Le Chatelier, M Almeida, ACL Cervino, F Gauthier, ... Bioinformatics, bty830, 2018	85	2018
MSPminer: abundance-based reconstitution of microbial pan-genomes from shotgun metagenomic data F Plaza Oñate, E Le Chatelier, M Almeida, F Cervino, A.C.L., Gauthier, ... bioRxiv, 2018	85	2018
Absorbing interface conditions for domain decomposition methods: A general presentation Y Maday, F Magoules Computer Methods in Applied Mechanics and Engineering 195 (29-32), 3880-3900, 2006	76	2006
Non-overlapping Schwarz methods with optimized transmission conditions for the Helmholtz equation F Magoulès, P Iványi, BHV Topping Computer Methods in Applied Mechanics and Engineering 193 (45-47), 4797-4818, 2004	75	2004
A Hadoop MapReduce Performance Prediction Method G Song, Z Meng, F Huet, F Magoules, L Yu, X Lin 2013 IEEE International Conference on High Performance Computing and …, 2013	74	2013

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