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