9 citations · 20 across the 12 of their papers we have counts for
3 papers · 1 filter
A Differentiable Interior-Point Method in Single Precision
Jon Arrizabalaga, Kevin Tracy, Zachary Manchester
Primal-dual interior-point methods solve constrained convex optimization problems to tight tolerances with speed and robustness. Their solutions are also efficiently differentiable…
The Trajectory Bundle Method: Unifying Sequential-Convex Programming and Sampling-Based Trajectory Optimization
Kevin Tracy, John Z. Zhang, Jon Arrizabalaga +4
We present a unified framework for solving trajectory optimization problems in a derivative-free manner through the use of sequential convex programming. Traditionally, nonconvex o…
On the Differentiability of the Primal-Dual Interior-Point Method
Kevin Tracy, Zachary Manchester
Primal-Dual Interior-Point methods are capable of solving constrained convex optimization problems to tight tolerances in a fast and robust manner. The derivatives of the primal-du…