activity
20152021
most citedDistributed Primal-dual Interior-point Methods for Solving Loosely Coupled Problems Using Message Passing

12 citations · 15 across the 4 of their papers we have counts for

collaborators

7 papers

eess.SY2021

On the Search for Equilibrium Points of Switched Affine Systems

Lucas N. Egidio, Anders Hansson

One of the main aspects of switched affine systems that makes their stabilizability study intricate is the existence of (generally) infinitely many equilibrium points in the state…

cs.LG2020

Learning the Step-size Policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno Algorithm

Lucas N. Egidio, Anders Hansson, Bo Wahlberg

We consider the problem of how to learn a step-size policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm. This is a limited computational memory quasi-…

math.OC2018

Efficient Robust Model Predictive Control using Chordality

Anders Hansson, Sina Khoshfetrat Pakazad

In this paper we show that chordal structure can be used to devise efficient optimization methods for robust model predictive control problems. The chordal structure is used both f…

math.OC2017

Exploiting Chordality in Optimization Algorithms for Model Predictive Control

Anders Hansson, Sina Khoshfetrat Pakazad

In this chapter we show that chordal structure can be used to devise efficient optimization methods for many common model predictive control problems. The chordal structure is used…

math.OC20171 cited

Distributed, scalable and gossip-free consensus optimization with application to data analysis

Sina Khoshfetrat Pakazad, Christian A. Naesseth, Fredrik Lindsten +1

Distributed algorithms for solving additive or consensus optimization problems commonly rely on first-order or proximal splitting methods. These algorithms generally come with rest…

math.OC20152 cited

Distributed Semidefinite Programming with Application to Large-scale System Analysis

Sina Khoshfetrat Pakazad, Anders Hansson, Martin S. Andersen +1

Distributed algorithms for solving coupled semidefinite programs (SDPs) commonly require many iterations to converge. They also put high computational demand on the computational a…