Low-Rank Approximation: Algorithms, Implementation, Applications (Communications and Control Engineering)

Name: Low-Rank Approximation: Algorithms, Implementation, Applications (Communications and Control Engineering)
Author: Markovsky, Ivan
ISBN: 9783030078171

Markovsky, Ivan

Language: English

Published by Springer, 2019

3030078175 / 9783030078171

Series: Book 49 of 65 - Communications and Control Engineering

Softcover
New

See all details

Seller: Books Puddle, New York, NY, U.S.A.Books Puddle

4-star seller

AbeBooks seller since November 22, 2018

View this seller's items

Softcover

Condition: New

US$ 238.12

US$ 3.99 shipping

Ships within U.S.A.

Quantity: 4 available

Add to basket

Free 30-day returns

Save for laterCreate a Want for similar items

Item description from seller

Softcover reprint of the original 2nd ed. 2019 edition NO-PA16APR2015-KAP.

Seller Inventory # 26376485864

Contact seller about this item

Report this item

Title: Low-Rank Approximation: Algorithms, Implementation, Applications (Communications and Control Engineering)
Author: Markovsky, Ivan
Publisher: Springer
Publication year: 2019
Condition: New
Binding: Soft cover
Language: English
ISBN 10: 3030078175
ISBN 13: 9783030078171
Series: Book 49 of 65: Communications and Control Engineering

This book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation. Local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester structured problems are presented. A major part of the text is devoted to application of the theory with a range of applications from systems and control theory to psychometrics being described. Special knowledge of the application fields is not required.

The second edition of /Low-Rank Approximation/ is a thoroughly edited and extensively rewritten revision. It contains new chapters and sections that introduce the topics of:

• variable projection for structured low-rank approximation;

• missing data estimation;

• data-driven filtering and control;

• stochastic model representation and identification;

• identification of polynomial time-invariant systems; and

• blind identification with deterministic input model.

The book is complemented by a software implementation of the methods presented, which makes the theory directly applicable in practice. In particular, all numerical examples in the book are included in demonstration files and can be reproduced by the reader. This gives hands-on experience with the theory and methods detailed. In addition, exercises and MATLAB^® /Octave examples will assist the reader quickly to assimilate the theory on a chapter-by-chapter basis.

“Each chapter is completed with a new section of exercises to which complete solutions are provided.”

Low-Rank Approximation (second edition) is a broad survey of the Low-Rank Approximation theory and applications of its field which will be of direct interest to researchers in system identification, control and systems theory, numerical linear algebra and optimization. The supplementary problems and solutions render it suitable for use in teaching graduate courses in those subjects as well.

"Synopsis" may belong to another edition of this title.

Books Puddle

New York, NY, U.S.A.

4-star seller

AbeBooks seller since November 22, 2018

Shipping rates within U.S.A.

Item	12 to 19 business days	12 to 14 business days
First item	US$ 3.99	US$ 6.99

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.