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Low-rank approximationalgorithms, im...

Markovsky, Ivan.

Low-rank approximationalgorithms, implementation, applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Low-rank approximationby Ivan Markovsky.
Reminder of title:	algorithms, implementation, applications /
Author:	Markovsky, Ivan.
Published:	Cham :Springer International Publishing :2019.
Description:	xiii, 272 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Approximation theoryMathematical models.
Online resource:	http://dx.doi.org/10.1007/978-3-319-89620-5
ISBN:	9783319896205$q(electronic bk.)

Low-rank approximationalgorithms, implementation, applications /
Markovsky, Ivan.

Low-rank approximationalgorithms, implementation, applications /[electronic resource] :by Ivan Markovsky. - 2nd ed. - Cham :Springer International Publishing :2019. - xiii, 272 p. :ill., digital ;24 cm. - Communications and control engineering,0178-5354. - Communications and control engineering..

Chapter 1. Introduction -- Part I: Linear modeling problems -- Chapter 2. From data to models -- Chapter 3. Exact modelling -- Chapter 4. Approximate modelling -- Part II: Applications and generalizations -- Chapter 5. Applications -- Chapter 6. Data-driven ﬁltering and control -- Chapter 7. Nonlinear modeling problems -- Chapter 8. Dealing with prior knowledge -- Index.

ISBN: 9783319896205$q(electronic bk.)

Standard No.: 10.1007/978-3-319-89620-5doiSubjects--Topical Terms:

558658
Approximation theory
--Mathematical models.

LC Class. No.: QA221

Dewey Class. No.: 511.4

Low-rank approximationalgorithms, implementation, applications /
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