2 papers
math.PR2025
A game-theoretic approach to the parabolic normalized p-Laplacian obstacle problem
Hamid El Bahja
This paper establishes a probabilistic representation for the solution of the parabolic obstacle problem associated with the normalized -Laplacian. We introduce a zero-sum stoch…
cs.LG2024
A physics-informed neural network framework for modeling obstacle-related equations
Hamid El Bahja, Jan Christian Hauffen, Peter Jung +2
Deep learning has been highly successful in some applications. Nevertheless, its use for solving partial differential equations (PDEs) has only been of recent interest with current…