Placeholder text

Go to cart

Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators

By Gianluigi Rozza

Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators Computer Science

Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators

By Gianluigi Rozza

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
272
Release Date:
2025-06-25
Publication Date:
2025-06-25
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031550625
ISBN13:
9783031550621
GPSR Manufacturer Reference:
[email protected]
Weight:
467 g
Height:
155 cm
Width:
235 cm
Thickness:
14 cm
Buy on Amazon
Currently sold out