Article with code, Wilmott Jan20

The second part of my paper  “Computation graphs for AAD and Machine Learning part II: Adjoint differentiation and AAD” was just published in Wilmott, the second in a series of three articles with code dedicated to AAD and Computational Finance in general. It covers computation graphs, backpropagation, AAD and implementation in finance, taking inspiration in the recent achievements of the Superfly Analytics group of Danske Bank.

The first part was published in Wilmott November 2019 issue.

A. Savine, “Computation graphs for aad and machine learning part ii: adjoint differentiation and AAD” Wilmott, vol. 2020, iss. 105, p. 32-45, 2020.

Article with code, Wilmott Nov19

My paper  “Computation graphs for AAD and Machine Learning part I: Introduction to computation graphs and automatic differentiation” was just published in Wilmott, the first in a series of articles with code dedicated to Computational Finance. It covers computation graphs, backpropagation, AAD and implementation in finance, taking inspiration in the recent achievements of the Superfly Analytics group of Danske Bank.

A. Savine, “Computation graphs for aad and machine learning part i: introduction to computation graphs and automatic differentiation,” Wilmott, vol. 2019, iss. 104, p. 36–61, 2019.

Modern Computational Finance book pages

Please post your questions, suggestions, comments or reviews of the book Modern Computational Finance: AAD and Parallel Simulations on the author’s page:

https://antoinesavine.com/books-by-antoine-savine

or the book’s GoodReads page:

http://www.goodreads.com/book/show/40244920-modern-computational-finance

A public preview, including Leif Andersen’s preface, is available on SSRN:

http://papers.ssrn.com/sol3/papers.cfm?abstract_id=3281877

Modern Computational Finance: AAD and Parallel Simulations (Wiley, November 13th 2018)

My book is out on Amazon today. You can read about it in my Medium post:

http://medium.com/@antoine_savine/modern-computational-finance-aad-and-parallel-simulations-c8cd42e7ad6e

A free preview, including Leif Andersen’s preface, is available here:

http://papers.ssrn.com/sol3/papers.cfm?abstract_id=3281877

The companion code is freely available on GitHub:

http://github.com/asavine/CompFinance/wiki

Follow the repo to be notified of updates, extensions and fixes.

I will be answering questions, suggestions and comments on my GoodReads page:

http://www.goodreads.com/author/show/18069638.Antoine_Savine

I put all my years of promoting, teaching and professionally implementing automatic adjoint differentiation (AAD) in this book, yet it took years of working nights and week-ends to (hopefully) get it right. I hope readers find that it was worth the effort.

Antoine Savine

book-1
out now