Model Order Reduction: Snapshot-based Methods and Algorithms by No Contributor
Requirements: .ePUB reader, 33 MB
Overview: 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 two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
Genre: Non-Fiction > Educational
Download Instructions:
https://userupload.net/irpzcsju0j0d
https://dropgalaxy.vip/zkmiqth1tbsx
Trouble downloading? Read This.
Requirements: .ePUB reader, 33 MB
Overview: 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 two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.
Genre: Non-Fiction > Educational
Download Instructions:
https://userupload.net/irpzcsju0j0d
https://dropgalaxy.vip/zkmiqth1tbsx
Trouble downloading? Read This.