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Model Reduction and Approximation
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Many physical, chemical, biomedical, and technical processes can be described by partial differential equations or dynamical systems. In spite of increasing com
Interpolatory Methods for Model Reduction
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Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to
Model Order Reduction: Theory, Research Aspects and Applications
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The idea for this book originated during the workshop “Model order reduction, coupled problems and optimization” held at the Lorentz Center in Leiden from S
Approximation of Large-Scale Dynamical Systems
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Authors: Athanasios C. Antoulas
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Mathematical models are used to simulate, and sometimes control, the behavior of physical and artificial processes such as the weather and very large-scale inte
Model Reduction of Complex Dynamical Systems
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This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on time-dependent proble