Computational Differentiation : Finance

- 1 min

Computational Differentiation : Use case - Finance

The aim of this seminar was to pick up a paper, understand it thoroughly and then present it to a group of people, considering they are not experts in the field. I was provided the paper Uwe Naumann and Jacques du Toit. Adjoint Algorithmic Differentiation Tool Support for Typical Numerical Patterns in Computational Finance. 2014 and I presented the following presentation and report as deliverables.

Final Presentation (Download link for PDF)

Final Report (Download link for PDF)

Note : The course involved writing a review paper. Any code/ computation/ results is that of the authors of the paper.

References : Uwe Naumann and Jacques du Toit. Adjoint Algorithmic Differentiation Tool Support for Typical Numerical Patterns in Computational Finance. 2014