Abstract: This work is devoted to stochastic functional differential equations with past-dependent random switching, in which the switching process is allowed to take values in a countable state space ...
Abstract: In this paper, a novel approach leveraging artificial neural networks is introduced to approximate solutions for partial differential equations. The one ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.