Model Order Reduction Volume 3 Applications

By: Contributor(s): Material type: ArticleSeries: Publication details: Berlin/Boston De Gruyter 2020Description: 1 electronic resource (466 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): Online resources: Summary: An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
No physical items for this record

Open Access Unrestricted online access star

An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.

Accessibility options of PDF file not available

Creative Commons Licence https://creativecommons.org/licenses/by-nc-nd/4.0 by-nc-nd cc

eng

Freely available e-book