Low-Rank Approximation Algorithms, Implementation, Applications /

Low-Rank Approximation Algorithms, Implementation, Applications /

Xehetasun bibliografikoak
Egile nagusia: Markovsky, Ivan (Egilea)
Erakunde egilea: SpringerLink (Online service)
Gaia:XIII, 272 p. 19 illus., 15 illus. in color.
text
Hizkuntza:ingelesa
Argitaratua: Cham : Springer International Publishing : Imprint: Springer, 2019.
Edizioa:2nd ed. 2019.
Saila:Communications and Control Engineering,
Gaiak:
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.
Sarrera elektronikoa:https://doi.org/10.1007/978-3-319-89620-5
Formatua: Baliabide elektronikoa Liburua
Aurkibidea:
  • 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 filtering and control
  • Chapter 7. Nonlinear modeling problems
  • Chapter 8. Dealing with prior knowledge
  • Index. .

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