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Book 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 details

• Full title: Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators
• Author: Giovanni Stabile, Max Gunzburger, Marta D'Elia
• Language: English
• Binding: Paperback
• Number of pages: 272
• EAN: 9783031550621
• ISBN: 3031550625
• ID: 49425034
• Publisher: Springer
• Weight: 467 g
• Dimensions: 235 × 155 × 14 mm
• Date of publishing: 25. June 2025

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