references.bib

@book{Goodfellow-et-al-2016,
    title={Deep Learning},
    author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
    publisher={MIT Press},
    note={\url{http://www.deeplearningbook.org}},
    year={2016},
    pages = {199},
},

@article{Lagaris1998ArtificialNN,
  title={Artificial neural networks for solving ordinary and partial differential equations},
  author={Isaac E. Lagaris and Aristidis Likas and Dimitrios I. Fotiadis},
  journal={IEEE transactions on neural networks},
  year={1998},
  volume={9 5},
  pages={
          987-1000
        }
},

@article{Sirignano_2018,
   title={DGM: A deep learning algorithm for solving partial differential equations},
   volume={375},
   ISSN={0021-9991},
   url={http://dx.doi.org/10.1016/j.jcp.2018.08.029},
   DOI={10.1016/j.jcp.2018.08.029},
   journal={Journal of Computational Physics},
   publisher={Elsevier BV},
   author={Sirignano, Justin and Spiliopoulos, Konstantinos},
   year={2018},
   month={Dec},
   pages={1339–1364}
},

@book{Hull,
    title={Options, Futures, and other Derivatives},
    author={John C. Hull},
    publisher={Prentice Hall},
    year={2012},
    edition=8,
    pages = {299-324},
},

@misc{alaradi2019applications,
    title={Applications of the Deep Galerkin Method to Solving Partial Integro-Differential and Hamilton-Jacobi-Bellman Equations},
    author={Ali Al-Aradi and Adolfo Correia and Danilo de Frietas Naiff and Gabriel Jardim and Yuri Saporito},
    year={2019},
    eprint={1912.01455},
    archivePrefix={arXiv},
    primaryClass={q-fin.CP}
}