3 papers
math.OC2026
Implicit Primal-Dual Interior-Point Methods for Quadratic Programming
Jon Arrizabalaga, Zachary Manchester
This paper introduces a new method for solving quadratic programs using primal-dual interior-point methods. Instead of handling complementarity as an explicit equation in the Karus…
cs.RO2025
Convex Maneuver Planning for Spacecraft Collision Avoidance
Fausto Vega, Jon Arrizabalaga, Ryan Watson +1
Conjunction analysis and maneuver planning for spacecraft collision avoidance remains a manual and time-consuming process, typically involving repeated forward simulations of hand-…
math.OC2025
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…