Low Rank Approximation Algorithms, Implementation, Applications

Low Rank Approximation Algorithms, Implementation, Applications / by Ivan Markovsky.

Matrix low-rank approximation is intimately related to data modelling; a problem that arises frequently in many different fields. Low Rank Approximation: Algorithms, Implementation, Applications is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approxim...

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Bibliographic Details
Main Author: Markovsky, Ivan (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:Communications and Control Engineering,
Springer eBook Collection.
Subjects:
Control engineering.
Robotics.
Mechatronics.
System theory.
Computer science—Mathematics.
Mathematical models.
Artificial intelligence.
Signal processing.
Image processing.
Speech processing systems.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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