‪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
Fei Teng（滕飞）Southwest Jiaotong UniversityVerified email at swjtu.edu.cn
Lei YuBeihang UniversityVerified email at buaa.edu.cn
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
Guillaume HouzeauxTeam Leader, Barcelona Supercomputing CenterVerified email at bsc.es
Fabrice HuetUniversity of Nice Sophia-AntipolisVerified email at unice.fr
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
Ge SongEcole Centrale ParisVerified email at ecp.fr
Yann Le BiannicData Science Chief Expert, SAPVerified email at sap.com

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	2305	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	486	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	170	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	161	2007
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	155	2010
Resource pricing and equilibrium allocation policy in cloud computing F Teng, F Magoules Computer and Information Technology (CIT), 2010 IEEE 10th International …, 2010	148	2010
A new game theoretical resource allocation algorithm for cloud computing F Teng, F Magoulès Advances in Grid and Pervasive Computing, 321-330, 2010	122	2010
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	116	2012
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	113	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	113	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	113	2018
Introduction to grid computing F Magoulès, J Pan, KA Tan, A Kumar CRC Press, USA, 2009	113	2009
Numerical investigations of stabilized finite element computations for acoustics I Harari, F Magoulès Wave Motion 39 (4), 339-349, 2004	110	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	106	2013
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	94	2008
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	93	1998
Lagrangian formulation of domain decomposition methods: A unified theory F Magoulès, FX Roux Applied Mathematical Modelling 30 (7), 593-615, 2006	87	2006
Data Mining and Machine Learning in Building Energy Analysis F Magoules, HX Zhao Wiley-ISTE, London, UK, 2016	80	2016
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	78	2013
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	77	2006

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