Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators: RAMSES (Lecture Notes in Computational Science and Engineering, 151)
by Gianluigi Rozza, Giovanni Stabile, Max Gunzburger, Marta D'Elia
Explores model reduction, machine learning, and simulation techniques for scientific computing, offering both theory and practical applications in engineering and computational science.
About This Book
This volume presents advances in model reduction, approximation techniques, and machine learning methods for scientific computing.
Topics include the construction and application of surrogates, emulators, and simulators across various disciplines.
Contributions address both theoretical foundations and practical implementations in computational science and engineering.
The book serves as a reference for researchers and practitioners working with complex models and data-driven approaches.
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