Low-Rank Approximation Algorithms, Implementation, Applications /

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...

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Detaylı Bibliyografya
Yazar: Markovsky, Ivan (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edisyon:2nd ed. 2019.
Seri Bilgileri:Communications and Control Engineering,
Konular:
Control engineering.
Robotics.
Automation.
System theory.
Control theory.
Computer science > Mathematics.
Mathematical models.
Artificial intelligence.
Signal processing.
Control, Robotics, Automation.
Systems Theory, Control.
Symbolic and Algebraic Manipulation.
Mathematical Modeling and Industrial Mathematics.
Artificial Intelligence.
Signal, Speech and Image Processing.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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. .

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