100 citations · 100 across the 1 of their papers we have counts for
5 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…
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…
On the acceleration of forward-backward splitting via an inexact Newton method
Andreas Themelis, Masoud Ahookhosh, Panagiotis Patrinos
We propose a Forward-Backward Truncated-Newton method (FBTN) for minimizing the sum of two convex functions, one of which smooth. Unlike other proximal Newton methods, our approach…
Newton-type Alternating Minimization Algorithm for Convex Optimization
Lorenzo Stella, Andreas Themelis, Panagiotis Patrinos
We propose NAMA (Newton-type Alternating Minimization Algorithm) for solving structured nonsmooth convex optimization problems where the sum of two functions is to be minimized, on…
A Simple and Efficient Algorithm for Nonlinear Model Predictive Control
Lorenzo Stella, Andreas Themelis, Pantelis Sopasakis +1
We present PANOC, a new algorithm for solving optimal control problems arising in nonlinear model predictive control (NMPC). A usual approach to this type of problems is sequential…