5 papers · 1 filter
Optimal Acceleration for Proximal Minimization of the Sum of Convex and Strongly Convex Functions
Govind M. Chari, Uijeong Jang, Ernest K. Ryu +1
When minimizing the sum of a convex and a strongly convex function, or when finding the zero of the sum of a monotone operator and a strongly monotone operator, Chambolle and Pock…
QOCO-GPU: A Quadratic Objective Conic Optimizer with GPU Acceleration
Govind M. Chari, Behçet AçıkmeÅe
We present a GPU-accelerated backend for QOCO, a C-based solver for quadratic objective second-order cone programs (SOCPs) based on a primal-dual interior point method. Our backend…
QOCO: A Quadratic Objective Conic Optimizer with Custom Solver Generation
Govind M Chari, Behçet AçikmeÅe
Second-order cone programs (SOCPs) with quadratic objective functions are common in optimal control and other fields. Most SOCP solvers which use interior-point methods are designe…
Constraint Preconditioning and Parameter Selection for a First-Order Primal-Dual Method applied to Model Predictive Control
Govind M. Chari, Yue Yu, Behçet AçıkmeÅe
Many techniques for real-time trajectory optimization and control require the solution of optimization problems at high frequencies. However, ill-conditioning in the optimization p…
Fast Monte Carlo Analysis for 6-DoF Powered-Descent Guidance via GPU-Accelerated Sequential Convex Programming
Govind M. Chari, Abhinav G. Kamath, Purnanand Elango +1
We introduce a GPU-accelerated Monte Carlo framework for nonconvex, free-final-time trajectory optimization problems. This framework makes use of the prox-linear method, which belo…