• Media type: E-Book
  • Title: Solving Kolmogorov PDEs without the curse of dimensionality via deep learning and asymptotic expansion with Malliavin calculus
  • Work titles: Asymptotic expansion and deep neural networks overcome the curse of dimensionality in the numerical approximation of Kolmogorov partial differential equations with nonlinear coefficients
  • Contributor: Takahashi, Akihiko [VerfasserIn]; Yamada, Toshihiro [VerfasserIn]
  • imprint: [Tokyo]: Center for Advanced Research in Finance, [2023]
  • Published in: CARF working paper ; 560
  • Issue: This version : May 9, 2023
  • Extent: 1 Online-Ressource (circa 28 Seiten)
  • Language: English
  • Keywords: Asymptotic expansion ; Deep learning ; Kolmogorov PDEs ; Malliavin calculus ; Curse of dimensionality ; Graue Literatur
  • Origination:
  • Footnote:
  • Access State: Open Access