125 citations · 684 across the 34 of their papers we have counts for
5 papers · 1 filter
Gauss-Newton meets PANOC: A fast and globally convergent algorithm for nonlinear optimal control
Pieter Pas, Andreas Themelis, Panagiotis Patrinos
PANOC is an algorithm for nonconvex optimization that has recently gained popularity in real-time control applications due to its fast, global convergence. The present work propose…
A mirror inertial forward-reflected-backward splitting: Global convergence and linesearch extension beyond convexity and Lipschitz smoothness
Ziyuan Wang, Andreas Themelis, Hongjia Ou +1
This work investigates a Bregman and inertial extension of the forward-reflected-backward algorithm [Y. Malitsky and M. Tam, SIAM J. Optim., 30 (2020), pp. 1451--1472] applied to s…
An interior proximal gradient method for nonconvex optimization
Alberto De Marchi, Andreas Themelis
We consider structured minimization problems subject to smooth inequality constraints and present a flexible algorithm that combines interior point (IP) and proximal gradient schem…
SPIRAL: A superlinearly convergent incremental proximal algorithm for nonconvex finite sum minimization
Pourya Behmandpoor, Puya Latafat, Andreas Themelis +2
We introduce SPIRAL, a SuPerlinearly convergent Incremental pRoximal ALgorithm, for solving nonconvex regularized finite sum problems under a relative smoothness assumption. Each i…
Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC
Aneek Nag, Shuo Huang, Andreas Themelis +1
We propose a model predictive control (MPC) based approach to a flock control problem with obstacle avoidance capability in a leader-follower framework, utilizing the future trajec…