CORDIS Project
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This project develops advanced mathematical techniques to analyze repulsive point processes and partial differential equations. It focuses on various models, including those from random matrix theory and combinatorial structures, to enhance understanding in fields like neural networks and nuclear physics.
The purpose of this project is to apply and develop robust mathematical methods for solving asymptotic problems on repulsive point processes and partial differential equations.
The point processes considered will mostly be taken from the theory of random matrices, such as the eigenvalues of random normal matrices, but we will also consider discrete point processes with a more combinatorial structure, such as lozenge tilings of a hexagon.
These models are used in neural networks, multivariate sta…
UNIVERSITE CATHOLIQUE DE LOUVAIN
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