Large-Scale Optimization

Projekt: Forskning


Large-scale optimization problems appear naturally in many engineering fields such as machine learning, signal processing, image reconstruction, control, and bioinformatics. The research in this group is focused on efficient algorithms for solving such problems. The primary focus is on deterministic and stochastic operator splitting methods as they can scale to solve large problems. We analyze convergence and performance of existing methods, create tools for computer assisted algorithm analysis, and devise new algorithms with improved performance.

StatusEj startat


Relaterad forskningsoutput

Mattias Fält & Pontus Giselsson, 2019 dec 11, 2019 IEEE Conference on Decision and Control (CDC). IEEE - Institute of Electrical and Electronics Engineers Inc., s. 4891-4897 7 s.

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

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