Laboratoire J.A. Dieudonné, Nice (France)
ENPC, France, SAMP - Raiselab, 11eme Paris
G2ELAB - Schneider, Grenoble
Plant Genome and Development Laboratory, Perpignan
Laboratoire J.A. Dieudonné, Nice
G-SCOP, Grenoble
INRIA, Grenoble
INRIA, Grenoble
IRT SystemX, Gif-sur-Yvette (Paris)
Eviden, Grenoble
LJK, Grenoble
ISAE-Supaero, Toulouse
LJK, Grenoble
LJK, Grenoble
LJK, Grenoble or LAMA, Chambéry
LJK, Grenoble
IGE, Grenoble
LJK, Grenoble
LJK-INRIA, Grenoble
LJK-INRIA, Grenoble
CERI, IMT Nord Europe – Campus de Douai Lahure
CEA, Cadarache, France
CEA, Cadarache, France
CEA, Cadarache, France
CNRM/CEN (Grenoble) ou Paul Painlevé (Lille), France
INSA, Lyon et Michelin, Clermont-Ferrand
CEREMA, Clermont-Ferrand(63)
IFPEN, Paris (91)
CRAN, Nancy
Creatis, Lyon
LJK, Grenoble
IRPHE, Marseille
INRAE, Marseille
Basel, Switzerland
Edinburgh, UK
LJK, Grenoble
LJK, Grenoble
INRIA, Grenoble
TDK, Grenoble
G-SCOP, Grenoble
TDK, Grenoble
TDK, Grenoble
IFP-EN, Paris
Ansys, Paris or Lyon
CERI MP, Douai
RING team, Nancy
Maverick Team, Inria, Grenoble
Université de Strasbourg, Strasbourg
Altair, Grenoble
Dassault System, Vélizy-Villacoublay
G2ELAB, Grenoble
ALTAIR, Grenoble
LJK, Grenoble
The goal of this course is to present and analyze a wide range of numerical methods and algorithms.
In a very broad acceptation, shape and topology optimization is about finding the best domain (which may represent, depending on applications, a mechanical structure, a fluid channel,…) with respect to a given performance criterion (e.g. robustness, weight, etc.), under some constraints (e.g. of a geometric nature).
LSIE, La Rochelle
IRIT, Toulouse
This interdisciplinary course is designed for students with a computer science or mathematical background, offering them an opening to bioinformatics and to bioinformatics and computational biology.
LJK, Grenoble
QbitSoft, Paris
LJK, Grenoble
Télécom Paris, IDS, Palaiseau
The course is structured in two parts, treated respectively and independently by Sylvein Meignen and Kévin Polisano. The first part is devoted to differential calculus and its applications in image restoration and edge detection. The second part is dedicated to the construction and practical use of the wavelet transform. Wavelets are basis functions widely used in a large variety of fields: signal and image processing, data compression, smoothing/denoising data, numerical schemes for partial differential equations, scientific visualization, etc. Connections between the two parts will be made on the aspects of denoising, edge detection and graph analysis.
LIP6 - Paris Sorbonnes, Paris
QbitSoft, Paris
Equations and models are presented in a continuum setting, and then approximated in time and space. Then, the efficient numerical resolution is addressed with some examples of practical applications.
LJK, Grenoble
In the current context of energy transition and fight against global warming, a precise knowledge of the crust, down to several km depth, has become a critical issue.
In this course, we will introduce parallel programming paradigms to the students in the context of applied mathematics.
Numerical simulation is ubiquitous in today’s world. Initially confined to well-mastered physical problems, it has spread to all fields (oceanography, biology, ecology, etc.), the aim being to make forecasts of the systems under study.
LJK, Grenoble
AMAP, Montpellier
CIMAP, Montpellier
Detection Technology, Moirans
Theoretical foundations of convex optimization.
This lecture proposes modelling problems. The problems can be industrial or academic.
I2M, Marseille
Laboratoire de Mathématiques JA Dieudonné, Nice
Méthodes de calage de paramètres en temps réel.
TApplied to both special effects in films and virtual prototyping in industry, physical simulation has become a powerful tool, …
Supergrid, Saint-Martin D’Hères
QbitSoft, Paris
Télécom Paris, IDS, Palaiseau
The quantum formalism developed a century ago provides a very precise description of nature at small scales which entails several counter intuitive aspects, …
GIPSA-Lab, Grenoble
INRIA, Lyon
LJK, Grenoble
LJK-INRIA, Grenoble
This course is related to mathematical and statistical methods which are very used in supervised learning.
ANSYS, Lyon/Paris
Modelling extreme temperatures, extreme river flows, earthquakes intensities, neuronal activity, map diseases, lightning strikes, forest fires, for example is a risk modelling and assessment task, which is tackled in statistics using point processes and extreme value theory.
SuperGrid, Grenoble
LJK, Grenoble
CEA, Grenoble
Mentor Graphics, Grenoble
SUMMIT, Paris
InjectPower, Grenoble
SAMP - Raiselab, 11eme Paris
Ecole Centrale Lyon, Lyon
LJK, Grenoble
LJK, Grenoble
LJK, Grenoble
Eviden, Grenoble
ISAE-Supaero, Toulouse
LIG, Grenoble
LJK, Grenoble
NeuroMod Institute, Sofia Antipolis
M2P2, Marseille
CEREMA, Clermont-Ferrand(63)
CentralSupelec, Paris (91)
EFEO, Paris
Advanced Track and Trace, Paris
Advanced Track and Trace, Paris
Université Paris-Saclay, Paris
BioMérieux, Grenoble ou Lyon
BioMérieux, Grenoble ou Lyon
LJK, Grenoble
TDK, Grenoble
TDK, Grenoble
Ansys, Paris or Lyon
CERI MP, Douai
LJK-INRAE, Grenoble ou Paris
LIG , Grenoble
GSCOP, Grenoble
LJK, Grenoble
Télécom Paris, IDS, Palaiseau
EdenIA, Lyon
LJK, Grenoble
LIG, Grenoble
AMAP, Montpellier
CIMAP, Montpellier
Detection Technology, Moirans
Supergrid, Saint-Martin D’Hères
Télécom Paris, IDS, Palaiseau
LJK, Grenoble
LIG, Grenoble
LJK, Grenoble
ANSYS, Lyon/Paris
NanoLike, Toulouse
LJK, Grenoble
CEA, Grenoble