Model Order Reduction

Author / Organization:

Overview & Synopsis

An increasing complexity of models used to predict real-world systems leads to the need for Model Order Reduction (MOR) algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions.

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Document Information

Document Title Model Order Reduction
Author / Organization Peter Benner, et al.
Subject & Discipline Computational and Mathematical Simulations and Modeling, Optimization, Linear Programming, etc., Deep Learning and Neural Networks, Machine Learning
Categories Computational and Mathematical Simulations and Modeling
Publication Year 2022
License / Rights Creative Commons License (CC)
Resource Verification Verification pending
Alternative Mirrors & Links
Original Host Website FreeComputerBooks.com (freecomputerbooks.com)
File Format application/pdf (Portable Document Format)
Language ENGLISH
Catalog ID DOC-267928
Original Source Link Visit Source Page on freecomputerbooks.com »