Andrei Knyazev

Who is Andrei Knyazev?

Andrei Knyazev is a Russian-American mathematician. He graduated from the Faculty of Computational Mathematics and Cybernetics of Moscow State University under the supervision of Evgenii Georgievich D'yakonov in 1981 and obtained his PhD in Numerical Mathematics at the Russian Academy of Sciences under the supervision of Vyacheslav Ivanovich Lebedev in 1985. He worked at the Kurchatov Institute in 1981-1983, and then to 1992 at the Institute of Numerical Mathematics of the Russian Academy of Sciences, headed by Gury Marchuk.

In 1993-1994, he held a visiting position at the Courant Institute of Mathematical Sciences of New York University, collaborating with Olof B. Widlund. Since 1994, he is Professor of Mathematics at the University of Colorado Denver. His research has been supported by the National Science Foundation and United States Department of Energy grants since 1995. In 2012, he has taken a position at the Mitsubishi Electric Research Laboratories.

Knyazev is mostly known for his work in numerical solution of large sparse eigenvalue problems, particularly the iterative method LOBPCG. An implementation of LOBPCG is available in the public software package BLOPEX.