Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators: RAMSES (2024) (Lecture Notes in Computational Science and Engineering #151)
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- Synopsis
- This volume is focused on the review of recent algorithmic and mathematical advances and the development of new research directions for Mathematical Model Approximations via RAMSES (Reduced order models, Approximation theory, Machine learning, Surrogates, Emulators, Simulators) in the setting of parametrized partial differential equations also with sparse and noisy data in high-dimensional parameter spaces. The book is a valuable resource for researchers, as well as masters and Ph.D students.
- Copyright:
- 2024
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031550607
- Related ISBNs:
- 9783031550591
- Publisher:
- Springer Nature Switzerland
- Date of Addition:
- 07/26/24
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Gianluigi Rozza
- Edited by:
- Giovanni Stabile
- Edited by:
- Max Gunzburger
- Edited by:
- Marta D'Elia
Reviews
Other Books
- by Gianluigi Rozza
- by Giovanni Stabile
- by Max Gunzburger
- by Marta D'Elia
- in Nonfiction
- in Computers and Internet
- in Mathematics and Statistics