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This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR)
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Reduced Order Methods for Modeling and Computational Reduction
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This monograph addresses the state of the art of reduced order methods for modeling and computational reduction of complex parametrized systems, governed by ord
Machine Learning for Model Order Reduction
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This Book discusses machine learning for model order reduction, which can be used in modern VLSI design to predict the behavior of an electronic circuit, via ma
Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics
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The use of machine learning in mechanics is booming. Algorithms inspired by developments in the field of artificial intelligence today cover increasingly varied