Numerical Linear Algebra in Signals, Systems and Control

Paul Van Dooren (u. a.)

ISBN 10: 9400706014 / ISBN 13: 9789400706019

Published by Springer Netherland, 2011

About this Item

Numerical Linear Algebra in Signals, Systems and Control | Paul Van Dooren (u. a.) | Buch | xvi | Englisch | 2011 | Springer Netherland | EAN 9789400706019 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 107111540

Bibliographic Details

• Title: Numerical Linear Algebra in Signals, Systems and Control
• Publisher: Springer Netherland
• Publication Date: 2011
• Language: English
• ISBN 10: 9400706014
• ISBN 13: 9789400706019
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 30D millimeters 241 millimeters width by 160 millimeters height by 30 millimeters depth
• Weight: 904 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The purpose of Numerical Linear Algebra in Signals, Systems and Control is to present an interdisciplinary book, blending linear and numerical linear algebra with three major areas of electrical engineering: Signal and Image Processing, and Control Systems and Circuit Theory. Numerical Linear Algebra in Signals, Systems and Control will contain articles, both the state-of-the-art surveys and technical papers, on theory, computations, and applications addressing significant new developments in these areas. The goal of the volume is to provide authoritative and accessible accounts of the fast-paced developments in computational mathematics, scientific computing, and computational engineering methods, applications, and algorithms. The state-of-the-art surveys will benefit, in particular, beginning researchers, graduate students, and those contemplating to start a new direction of research in these areas. A more general goal is to foster effective communications and exchange of information between various scientific and engineering communities with mutual interests in concepts, computations, and workable, reliable practices.