I focus on developing efficient algorithms for image and shape manipulation to address various design challenges, such as stylization and editing. I am particularly interested in leveraging a combination of optimization, machine learning, computer vision, partial differential equations, and numerical linear algebra to achieve this goal.
I found the below are pretty useful for research use, especially when you need to quickly work on mathematical derivations but forgot some of the rules...
1. The Matrix Cookbook: a very powerful book having different kinds of derivatives lookup
2. Matrix Calculus: an interactive tool for computing derivatives for optimization problems
The code of this website is adapted from Jon Barron. Do not scrape the HTML from this page itself,
as it includes analytics tags that you do not want on your own website — use the github code instead.