Before revision:  In particular, using the Linear Matrix Inequality framework developed in Fazlyab et. al. (2018), we derive analytically a (discrete) Lyapunov function for a two-parameter family of Nesterov optimization methods, which allows for a complete characterization of their convergence rate.
After revision:  In particular, using the Linear Matrix Inequality LMI framework developed by Fazlyab et. al. (2018), we derive analytically a (discrete) Lyapunov function for a two-parameter family of Nesterov optimization methods, which allows for a complete characterization of their convergence rate.