Abstract

In understanding physical systems over hundreds of years, physicists have developed a wealth of dynamics and viewpoints. Some of these methods, when abstracted appropriately, could lead to new algorithmic techniques with applications to optimization, machine learning, and theoretical computer science. I will present a couple of recent examples from my own research on such interactions between Physics and Algorithms.