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20152019
most citedDistributed Primal-dual Interior-point Methods for Solving Loosely Coupled Problems Using Message Passing

12 citations · 15 across the 5 of their papers we have counts for

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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…

math.OC201512 cited

Distributed Primal-dual Interior-point Methods for Solving Loosely Coupled Problems Using Message Passing

Sina Khoshfetrat Pakazad, Anders Hansson, Martin S. Andersen

In this paper, we propose a distributed algorithm for solving loosely coupled problems with chordal sparsity which relies on primal-dual interior-point methods. We achieve this by…