Low Rank Approximation Algorithms, Implementation, Applications /

Matrix low-rank approximation is intimately related to data modelling; a problem that arises frequently in many different fields. Low Rank Approximation: Algorithms, Implementation, Applications is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approxim...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Markovsky, Ivan (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Communications and Control Engineering,
Temas:
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 .
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • From Data to Models
  • Applications in System and Control Theory
  • Applications in Signal Processing
  • Applications in Computer Algebra
  • Applications in Machine Learing
  • Subspace-type Algorithms
  • Algorithms Based on Local Optimization
  • Data Smoothing and Filtering
  • Recursive Algorithms.

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