125 citations · 684 across the 34 of their papers we have counts for
4 papers · 1 filter
QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs
Ben Hermans, Andreas Themelis, Panagiotis Patrinos
We present a proximal augmented Lagrangian based solver for general convex quadratic programs (QPs), relying on semismooth Newton iterations with exact line search to solve the inn…
Block-coordinate and incremental aggregated proximal gradient methods for nonsmooth nonconvex problems
Puya Latafat, Andreas Themelis, Panagiotis Patrinos
This paper analyzes block-coordinate proximal gradient methods for minimizing the sum of a separable smooth function and a (nonseparable) nonsmooth function, both of which are allo…
A Bregman forward-backward linesearch algorithm for nonconvex composite optimization: superlinear convergence to nonisolated local minima
Masoud Ahookhosh, Andreas Themelis, Panagiotis Patrinos
We introduce Bella, a locally superlinearly convergent Bregman forward backward splitting method for minimizing the sum of two nonconvex functions, one of which satisfying a relati…
Embedded nonlinear model predictive control for obstacle avoidance using PANOC
Ajay Sathya, Pantelis Sopasakis, Ruben Van Parys +3
We employ the proximal averaged Newton-type method for optimal control (PANOC) to solve obstacle avoidance problems in real time. We introduce a novel modeling framework for obstac…