16 citations · 16 across the 4 of their papers we have counts for
4 papers · 1 filter
Differentiating Through a Cone Program
Akshay Agrawal, Shane Barratt, Stephen Boyd +2
We consider the problem of efficiently computing the derivative of the solution map of a convex cone program, when it exists. We do this by implicitly differentiating the residual…
Derivative of a Conic Problem with a Unique Solution
Enzo Busseti
We view a conic optimization problem that has a unique solution as a map from its data to its solution. If sufficient regularity conditions hold at a solution point, namely that th…
Dynamic Energy Management
Nicholas Moehle, Enzo Busseti, Stephen Boyd +1
We present a unified method, based on convex optimization, for managing the power produced and consumed by a network of devices over time. We start with the simple setting of optim…
Solution Refinement at Regular Points of Conic Problems
E. Busseti, W. Moursi, S. Boyd
Most numerical methods for conic problems use the homogenous primal-dual embedding, which yields a primal-dual solution or a certificate establishing primal or dual infeasibility.…