Abstract
In this paper we study deep neural network algorithms for solving inear and semilinear parabolic partial integro-differential equations with boundary conditions in high dimension. Our method can be considered as an extension of the deep splitting method for PDEs to equations with non-local terms. To show the viability of our approach, we discuss several case studies from insurance and finance.
| Original language | English |
|---|---|
| Article number | 201 |
| Journal | Computation |
| Volume | 10 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - Nov 2022 |
Bibliographical note
Publisher Copyright:© 2022 by the authors.
Keywords
- deep neural networks
- finance
- insurance
- machine earning
- parabolic partial integro-differential equations