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Andrii Dmytryshyn is a Docent at the University of Gothenburg. His research focuses on minimal rank factorizations of polynomial matrices and Sylvester-like matrix equations. Dmytryshyn has published significant works on algorithms for CP decomposition and completing problems arising from motion capture data. His contributions are prominent in linear algebra and its applications, reflecting an established career in mathematical research. Dmytryshyn collaborates with various researchers, contributing to advancements in the field through notable publications. He is recognized for his work in analyzing and solving complex linear algebraic problems that have broad applications in science and engineering fields.
University of Gothenburg • Gothenburg, Sweden
Teaching and conducting research in linear algebra and its applications.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).