Explore
Model Order Reduction
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 84 times via unglue.it ebook links.
- 84 - pdf (CC BY-NC-ND) at OAPEN Library.
Keywords
- applied mathematics
- Calculus & mathematical analysis
- Mathematical physics
- Mathematics
- Mathematics & science
- Mechanical engineering & materials
- Numerical analysis
- Physics
- Production engineering
- prom
- Technology, engineering, agriculture
- thema EDItEUR::P Mathematics and Science::PB Mathematics::PBK Calculus and mathematical analysis::PBKS Numerical analysis
- thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
- thema EDItEUR::P Mathematics and Science::PH Physics::PHU Mathematical physics
Links
DOI: 10.1515/9783110671490Editions