Deep learning schemes for parabolic nonlocal integro-differential equations

DOI10.1007/s42985-022-00213-zOpenAlexW3143060990WikidataQ115369367 ScholiaQ115369367MaRDI QIDQ2098092

Javier Castro

Publication date: 17 November 2022

Published in: SN Partial Differential Equations and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2103.15008

zbMATH Keywords

Lévy processesstochastic differential equationsapproximationdeep learningnonlocal diffusion equationsdeep neural networks

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Stability and convergence of numerical methods for initial value and initial-boundary value problems involving PDEs (65M12) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35)

Related Items (2)

Deep learning approximations for non-local nonlinear PDEs with Neumann boundary conditions ⋮ An overview on deep learning-based approximation methods for partial differential equations

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