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

Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators RAMES - Lecture Notes in Computational Science and Engineering

Hardback (25 Jun 2024)

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Publisher's 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.

Book information

ISBN: 9783031550591
Publisher: Springer Nature Switzerland
Imprint: Springer
Pub date:
DEWEY: 511.8
DEWEY edition: 23
Language: English
Number of pages: 266
Weight: 590g
Height: 235mm
Width: 155mm
Spine width: 18mm