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Artykuły w czasopismach na temat "Laplacien et projection"
Boucetta, M. "Spectre des Laplaciens de Lichnerowicz sur les sphères et les projectifs réels". Publicacions Matemàtiques 43 (1.07.1999): 451–83. http://dx.doi.org/10.5565/publmat_43299_02.
Pełny tekst źródłaDoerenkamp, Tim, Felix N. Buechi, Thomas J. Schmidt i Jens Eller. "Capillary Pressure Controlled Water Pathways in Gas Diffusion Layers for Polymer Electrolyte Fuel Cells Designed By Additive Manufacturing". ECS Meeting Abstracts MA2023-02, nr 38 (22.12.2023): 1873. http://dx.doi.org/10.1149/ma2023-02381873mtgabs.
Pełny tekst źródłaLauerwald, Ronny, Pierre Regnier, Marta Camino-Serrano, Bertrand Guenet, Matthieu Guimberteau, Agnès Ducharne, Jan Polcher i Philippe Ciais. "ORCHILEAK (revision 3875): a new model branch to simulate carbon transfers along the terrestrial–aquatic continuum of the Amazon basin". Geoscientific Model Development 10, nr 10 (23.10.2017): 3821–59. http://dx.doi.org/10.5194/gmd-10-3821-2017.
Pełny tekst źródłaLarsen, Leif. "Determination of Pressure-Transient and Productivity Data for Deviated Wells in Layered Reservoirs". SPE Reservoir Evaluation & Engineering 2, nr 01 (1.02.1999): 95–103. http://dx.doi.org/10.2118/54701-pa.
Pełny tekst źródłaRozprawy doktorskie na temat "Laplacien et projection"
Ben, Messaoud Rémy. "Low-dimensional controllability of complex networks and applications to the human brain". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS537.
Pełny tekst źródłaControllability and optimal control are specific fields of mathematics that have been developed since the industrial revolution in order to command engineered systems. Nowadays, many systems are interconnected and form networks like the world wide web, transportation networks, or power grids. The biological world is also full of networks: vascular networks, gene regulation, and brain connectivity networks. Gaining control over these large and complex interconnected systems is challenging. During the last decade, there has been an explosion of studies applying controllability theory to networks. Some breakthroughs were made in characterizing the minimum number of controlled nodes and their placement. However, practically controlling networks and steering them toward specific configurations remains challenging mainly when a small fraction of nodes are controlled which is a common constraint, especially for biological networks. This dissertation aims to explore the limit where only one single driver is allowed as it would certainly be the case for brain stimulation perspectives. We observed in practice that one driver node can only control five target nodes. This practical limit was previously observed and documented so we developed a way to aggregate the states of large networks onto a few representative components. For that, we decided to take advantage of the Laplacian eigenmaps method that was already successfully applied in graph embedding and dimensionality reduction techniques. By controlling a few output components, we drastically reduce the number of terminal constraints and ensure that the problem is well-conditioned. We called our method low-dimensional network control. We tested and validated it with synthetic networks. We found that it can be adapted to build a controllability metric that is well-scaled and which does not suffer from numerical issues that arise in high dimension. We applied our method to a large cohort (N > 6k) of healthy participants deriving a detailed map of single-driver controllability for 9 large-scale networks that support human cognition
Streszczenia konferencji na temat "Laplacien et projection"
Salih, A., i S. Ghosh Moulic. "A Level Set Method for Simulation of Coalescence of Droplets". W ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79507.
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