Английская Википедия:Andrei Knyazev (mathematician)
Шаблон:Short description Шаблон:Infobox scientist
Andrew Knyazev is an American mathematician. He graduated from the Faculty of Computational Mathematics and Cybernetics of Moscow State University under the supervision of Evgenii Georgievich D'yakonov (Шаблон:Lang-ru) in 1981 and obtained his PhD in Numerical Mathematics at the Russian Academy of Sciences under the supervision of Vyacheslav Ivanovich Lebedev (Шаблон:Lang-ru) in 1985. He worked at the Kurchatov Institute between 1981–1983, and then to 1992 at the Marchuk Institute of Numerical Mathematics (Шаблон:Lang-ru) of the Russian Academy of Sciences, headed by Gury Marchuk (Шаблон:Lang-ru).
From 1993–1994, Knyazev held a visiting position at the Courant Institute of Mathematical Sciences of New York University, collaborating with Olof B. Widlund.[1] From 1994 until retirement in 2014, he was a Professor of Mathematics at the University of Colorado Denver, supported by the National Science Foundation[2] and United States Department of Energy grants. He was a recipient of the 2008 Excellence in Research Award,[3] the 2000 college Teaching Excellence Award, and a finalist of the CU President's Faculty Excellence Award for Advancing Teaching and Learning through Technology in 1999.[4] He was awarded the title of Professor Emeritus at the University of Colorado Denver[5] and named the SIAM Fellow Class of 2016[6] and AMS Fellow Class of 2019.[7]
From 2012–2018, Knyazev worked at the Mitsubishi Electric Research Laboratories[8] on algorithms for image and video processing, data sciences, optimal control, and material sciences, resulting in dozens of publications and 13 patent applications.[9] Since 2018, he contributed to numerical techniques in quantum computing at Zapata Computing, real-time embedded anomaly detection in automotive data, and algorithms for silicon photonics-based hardware.
Knyazev is mostly known for his work in numerical solution of large sparse eigenvalue problems, particularly preconditioning[10] and the iterative method LOBPCG.[11] Knyazev's implementation of LOBPCG is available in many open source software packages, e.g., BLOPEX, SciPy, and ABINIT.[12]
Knyazev collaborated with John Osborn [13] on the theory of the Ritz method in the finite element method context and with Nikolai Sergeevich Bakhvalov (Шаблон:Lang-ru) (Erdős number 3 via Leonid Kantorovich) on numerical solution of elliptic partial differential equations with large jumps in the main coefficients.[14] Jointly with his Ph.D. students, Knyazev pioneered using majorization for bounds in the Rayleigh–Ritz method (see[15] and references there) and contributed to the theory of angles between flats.[16] [17]
References
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- ↑ Andrew Knyazev moved to MERL, 2012
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External links
- Шаблон:GoogleScholar
- Шаблон:Scopus
- Шаблон:MathGenealogy
- Patents granted to Andrei Kniazev and patent applications filed by Andrei Kniazev at USPTO and world-wide
- MathSciNet (subscription required) reviews for Andrew Knyazev
- Zentralblatt MATH reviews
- ORCID [1]
- arXiv Reports
- SIGPORT Contributions
- Block Locally Optimal Preconditioned Eigenvalue Xolvers (BLOPEX) at GitHub
- Knyazev's software in MATLAB
- Шаблон:LinkedIn URL
- Andrew Knyazev on ResearchGate
- Английская Википедия
- 20th-century American mathematicians
- 21st-century American mathematicians
- Soviet mathematicians
- Moscow State University alumni
- 1959 births
- Living people
- University of Colorado Denver faculty
- American applied mathematicians
- Numerical analysts
- Machine learning researchers
- Senior Members of the IEEE
- Fellows of the Society for Industrial and Applied Mathematics
- Mitsubishi Electric people
- Fellows of the American Mathematical Society
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