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Markovsky, Ivan
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Low-rank approximation: algorithms, implementation, applications (2nd ed.)
Markovsky I., Springer International Publishing, New York, NY, 2019. 272 pp. Type: Book (978-3-319896-19-9)
Low-rank approximation (LRA) is an abstract framework for approximately solving many highly complex problems in science and engineering within acceptable time limits. Concrete implementations of LRA-based algorithms for specific proble...
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Jul 18 2019
Low rank approximation: algorithms, implementation, applications
Markovsky I., Springer Publishing Company, Incorporated, New York, NY, 2011. 266 pp. Type: Book (978-1-447122-26-5)
Low rank approximation (LRA), a general approach for discovering linear models of data, applies to a wide range of problems in many disciplines, including computer science (CS) and engineering. It is therefore an instructive approach t...
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Dec 5 2012
Exact and approximate modeling of linear systems: a behavioral approach (Mathematical Modeling and Computation Series)
Markovsky I., Willems J., Huffel S., Moor B., Society for Industrial and Applied Mathematics, Philadelphia, PA, 2006. 206 pp. Type: Book (9780898716030)
This is an excellent handbook on the behavioral approach to modeling linear systems. To the uninitiated, a behavioral approach may sound like a social science approach to mathematics. While clearly the applications of linear systems ca...
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Jun 11 2007
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