Données techniques du gdr-mascotnum.math.cnrs.fr
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Notre service GeoIP a trouvé l'hôte gdr-mascotnum.math.cnrs.fr.Actuellement, hébergé dans France et son fournisseur de services est Universite Angers .
| Latitude: |
47.46667098999 |
| Longitude: |
-0.55000001192093 |
| Pays: |
France (fr)
|
| Ville: |
Angers |
| Région: |
Pays de la Loire |
| ISP: |
Universite Angers |
Analyse d'en-tête HTTP
Les informations d'en-tête HTTP font partie du protocole HTTP que le navigateur d'un utilisateur envoie à appelé Apache contenant les détails de ce que le navigateur veut et acceptera de nouveau du serveur Web.
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| Expires: | Thu, 19 Nov 1981 08:52:00 GMT |
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| Connection: | Keep-Alive |
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| Date: | Sun, 28 Oct 2018 14:04:47 GMT |
| Content-Type: | text/html; charset=utf-8 |
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DNS
| cname: | rprox.mathrice.fr.
|
| ipv4: | IP:193.49.146.51
ASN:2200
OWNER:FR-RENATER Reseau National de telecommunications pour la Technologie, FR
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|
HtmlToText
↑ top voir le menu home events and news annual gdr meetings other gdr events news board meetings organization commitees working groups gdr partners le "club des partenaires" scientific dissemination publications software benchmarks training master courses research schools professional training community announcements jobs, theses, internships users list links private area login · register old revisions recent changes sitemap gdr mascot-num - home news mascot blog array ( [rel] = alternate [type] = text/html [href] = http://mascot-num.blogspot.com/2018/10/mascot-num-2019-call-for-phd-student.html [title] = mascot-num 2019: call for phd student communications ) ) -- mascot-num 2019: call for phd student communications array ( [rel] = alternate [type] = text/html [href] = http://mascot-num.blogspot.com/2018/07/uqlab-uncertainty-quantification.html [title] = uqlab - the uncertainty quantification framework - v.1.1 now available ) ) -- uqlab - the uncertainty quantification framework - v.1.1 now available array ( [rel] = alternate [type] = text/html [href] = http://mascot-num.blogspot.com/2018/06/soutenance-de-these-de-remi-stroh-mardi.html [title] = soutenance de thèse de rémi stroh (mardi 26 juin) ) ) -- soutenance de thèse de rémi stroh (mardi 26 juin) array ( [rel] = alternate [type] = text/html [href] = http://mascot-num.blogspot.com/2018/06/prix-de-these-amies-2018.html [title] = prix de thèse amies 2018 ) ) -- prix de thèse amies 2018 array ( [rel] = alternate [type] = text/html [href] = http://mascot-num.blogspot.com/2018/06/workshop-optimization-and-machine.html [title] = workshop optimization-and-machine-learning september 2018 toulouse ) ) -- workshop optimization-and-machine-learning september 2018 toulouse gdr mascot-num is a french research group dealing with stochastic methods for the analysis of numerical codes . its main objective is to coordinate research efforts in this scientific area, which is often called design, modeling and analysis of computer experiments . its activities involve many techniques of applied mathematics. more specifically, it concerns statistics, probability, computer science, numerical analysis, operational research, mathematical physics, … registration: users interested in our activities are encouraged to register . you will be added to the gdr mascot-num mailing list (from which you can unsubscribe at any time), and will be able to contribute to this collaborative website by editing its pages and share useful and relevant information. more details can be found in the mascot user guide (restricted to mascot users). main objectives : the increase of computing power makes it possible to run many complex computer simulation codes. to modelize physical reality, these programs need a large number of input variables and can furnish as output a huge amount of results. such simulation results thus become difficult to analyze. in order to measure the output variability and to determine the influence of the inputs, one needs to explore the space of the input variables. however, the dimension of the input space (from 10 to hundreds) makes an exhaustive exploration impossible. to go further, one has to define and make use of partial knowledge on variables. stochastic models can tackle the dependencies between them, at different complexity levels. moreover, computer design of experiments become possible through their use. these models are well suited to more specific inspections like sensitivity analyses. the goal of the seminars, conferences and workshops organized by the gdr is to exchange informations on this topic between industrial and academic research teams, and to establish a kind of state of the art on this field. the gdr aims also to reveal some new research topics, originated from applied and industrial problems, and to propose some innovative solutions. la croissance de la puissance des moyens de calcul permet de mettre en oeuvre des codes de simulation de plus en plus complexes. pour approcher la réalité des phénomènes physiques, ces codes nécessitent un grand nombre de variables d'entrée et délivrent de nombreuses variables en sortie. pour mesurer la variabilité des sorties et connaître l'influence des diverses variables d'entrée, il est nécessaire d'explorer l'espace des variables d'entrée. la dimension de cet espace (de l'ordre d'une dizaine à plusieurs centaines) rend une exploration exhaustive impossible. pour passer outre cette impossibilité, il faut définir des stratégies fondées sur une connaissance partielle des variables. l'utilisation de modèles stochastiques permet de rendre compte des dépendances à divers niveaux de complexité et autorise la mise en oeuvre de plans d'expériences. ces modèles sont aussi bien adaptés à des études plus locales comme l'analyse de sensibilité. le but des journées et ateliers organisés par le gdr est d'échanger des informations sur ce thème entre chercheurs des milieux industriels et universitaires, et de tenter d'établir un état de l'art en ce domaine. le gdr a aussi comme objectif de faire émerger des problèmes mathématiques en amont de cette thématique. ces recherches devront être motivées par des problèmes d'origines appliquées ou industrielles. les synergies de travail entre chercheurs issus de laboratoires variés devraient permettre de proposer des solutions innovantes à ces problèmes. webmasters bertrand iooss (edf r&d chatou, france) julien bect (centralesupélec, france) virginie ehrlacher (ecole des ponts paristech) alexandre janon (université paris-sud, france) yann richet (irsn, france)
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ADMIN
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NSERVER
NS1.CNRS.FR 193.55.86.208
NS2.CNRS.FR 193.52.36.172
CAMUS.DR15.CNRS.FR 147.210.72.192
PANORAMIX.RAP.PRD.FR 193.50.20.1
NAME cnrs.fr
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