Cover Image
Read Now

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...

Full description

Bibliographic Details
Main Author: Markovsky, Ivan
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:2nd ed. 2019
Series:Communications and Control Engineering
Subjects:
Mathematical Modeling And Industrial Mathematics
Systems Theory
Control, Robotics, Mechatronics
Symbolic And Algebraic Manipulation
Signal, Image And Speech Processing
Artificial Intelligence
Algebra / Data Processing
Systems Theory, Control
Artificial Intelligence (incl. Robotics)
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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.

Similar Items