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Model Order Reduction
OAPEN Author

Model Order Reduction

Author / Organization:
Humanities & Social Sciences Published 2021 Verification Pending

Overview & Synopsis

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.

Indexed from repository: OAPEN Library (www.oapen.org)

Document Information

Document Title Model Order Reduction
Author / Organization OAPEN Author
Subject & Discipline Complexity reduction
Categories Humanities & Social Sciences
Publication Year 2021
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website OAPEN Library (www.oapen.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-158093
Original Source Link Visit Source Page on www.oapen.org »