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Low-rank approximation = algorithms, implementation, applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Low-rank approximation/ by 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.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Approximation theory - Mathematical models. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-89620-5
ISBN:	9783319896205

Low-rank approximation = algorithms, 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

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

1566571
Approximation theory
--Mathematical models.

LC Class. No.: QA221

Dewey Class. No.: 511.4

Low-rank approximation = algorithms, implementation, applications /
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100 1 $a Markovsky, Ivan. $3 904992
245 1 0 $a Low-rank approximation $h [electronic resource] : $b algorithms, implementation, applications / $c by Ivan Markovsky.
250 $a 2nd ed.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xiii, 272 p. : $b ill., digital ; $c 24 cm.
490 1 $a Communications and control engineering, $x 0178-5354
505 0 $a 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.
650 0 $a Approximation theory $x Mathematical models. $3 1566571
650 0 $a Approximation algorithms. $3 1566572
650 1 4 $a Engineering. $3 586835
650 2 4 $a Control, Robotics, Mechatronics. $3 1002220
650 2 4 $a Systems Theory, Control. $3 893834
650 2 4 $a Symbolic and Algebraic Manipulation. $3 891222
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
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830 0 $a Communications and control engineering. $3 1566566
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