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Model Order Reduction : Volume 3 Applications

By: Contributor(s): Material type: ArticleArticleLanguage: English Publication details: Berlin/Boston De Gruyter 2020Description: 1 electronic resource (466 p.)ISBN:
  • 9783110499001
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.
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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.

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