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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Format: | Electronic eBook |
Language: | English |
Published: |
London :
Springer London : Imprint: Springer,
2012.
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Series: | Communications and Control Engineering,
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Online Access: | Full Text via HEAL-Link |
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.