Deep Neural Network Algorithms for Parabolic PIDEs and Applications in Insurance and Finance

In this paper we study deep neural network algorithms for solving linear 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. T...

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Bibliographic Details
Main Authors: Rüdiger Frey, Verena Köck
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Computation
Subjects:
Online Access:https://www.mdpi.com/2079-3197/10/11/201