Low Rank Approximation Algorithms, Implementation, Applications /

• Main Author: Markovsky, Ivan (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London : Imprint: Springer, 2012.
• Series: Communications and Control Engineering,
• Subjects: Engineering.; Computer science > Mathematics.; Artificial intelligence.; System theory.; Mathematical models.; Control engineering.; Robotics.; Mechatronics.; Control, Robotics, Mechatronics.; Systems Theory, Control.; Symbolic and Algebraic Manipulation.; Mathematical Modeling and Industrial Mathematics.; Artificial Intelligence (incl. Robotics).; Signal, Image and Speech Processing.

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...

Table of Contents:

• 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.