Deep neural network approximation for high-dimensional parabolic partial integro-differential equations

Documenti analoghi

• StPINNs - Deep learning framework for approximation of stochastic differential equations
  di: Baranek, Marcin, et al.
  Pubblicazione: (2025)
• Deep ReLU neural networks overcome the curse of dimensionality when approximating semilinear partial integro-differential equations
  di: Neufeld, Ariel, et al.
  Pubblicazione: (2023)
• Deep Neural networks for solving high-dimensional parabolic partial differential equations
  di: Zhang, Wenzhong, et al.
  Pubblicazione: (2026)
• Space-time deep neural network approximations for high-dimensional partial differential equations
  di: Hornung, Fabian, et al.
  Pubblicazione: (2020)
• High-dimensional approximation spaces of artificial neural networks and applications to partial differential equations
  di: Beneventano, Pierfrancesco, et al.
  Pubblicazione: (2020)