Optimization and Control

Optimization is at the heart of many engineering problems. It also constitutes a building block of machine learning algorithms. As such, developing optimization methods that perform efficiently on high-dimensional problems is of great interest. We have made a number of contributions in this direction that are listed below.

Related Publications:

Multi-scale analysis of accelerated gradient methods:

Invariant solutions of Navier-Stokes and intermittency:

Optimal Control for scaling laws of turbulence: