Low-Rank Approximation

Low-Rank Approximation

Algorithms, Implementation, Applications

Markovsky, Ivan

Springer International Publishing AG

08/2018

272

Dura

Inglês

9783319896199

15 a 20 dias

4821

Descrição não disponível.
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 ?ltering and control.- Chapter 7. Nonlinear modeling problems.- Chapter 8. Dealing with prior knowledge.- Index.
Data Approximation;Linear Algebra;Linear Models;Low-complexity Model;Numerical Algorithms;System Identification;System Theory;Time-invariant System;Matrix Completion;Toeplitz Problems;Hankel Problems;Sylvester Problems