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Model Reduction of Parametrized Systems
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3574811Model Reduction of Parametrized Systemshttps://www.gandhi.com.mx/model-reduction-of-parametrized-systems-9783319587868/phttps://gandhi.vtexassets.com/arquivos/ids/3167658/9970bb70-35d5-43b2-9697-2bc8b0bfb1d6.jpg?v=63838497249023000025372819MXNSpringer International PublishingInStock/Ebooks/<p>The special volume offers a global guide to new concepts and approaches concerning the following topics: reduced basis methods, proper orthogonal decomposition, proper generalized decomposition, approximation theory related to model reduction, learning theory and compressed sensing, stochastic and high-dimensional problems, system-theoretic methods, nonlinear model reduction, reduction of coupled problems/multiphysics, optimization and optimal control, state estimation and control, reduced order models and domain decomposition methods, Krylov-subspace and interpolatory methods, and applications to real industrial and complex problems.</p><p>The book represents the state of the art in the development of reduced order methods. It contains contributions from internationally respected experts, guaranteeing a wide range of expertise and topics. Further, it reflects an important effor</p><p>t, carried out over the last 12 years, to build a growing research community in this field.</p><p>Though not a textbook, some of the chapters can be used as reference materials or lecture notes for classes and tutorials (doctoral schools, master classes).</p>...3511315Model Reduction of Parametrized Systems25372819https://www.gandhi.com.mx/model-reduction-of-parametrized-systems-9783319587868/phttps://gandhi.vtexassets.com/arquivos/ids/3167658/9970bb70-35d5-43b2-9697-2bc8b0bfb1d6.jpg?v=638384972490230000InStockMXN99999DIEbook20179783319587868_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_<p>The special volume offers a global guide to new concepts and approaches concerning the following topics: reduced basis methods, proper orthogonal decomposition, proper generalized decomposition, approximation theory related to model reduction, learning theory and compressed sensing, stochastic and high-dimensional problems, system-theoretic methods, nonlinear model reduction, reduction of coupled problems/multiphysics, optimization and optimal control, state estimation and control, reduced order models and domain decomposition methods, Krylov-subspace and interpolatory methods, and applications to real industrial and complex problems.</p><p>The book represents the state of the art in the development of reduced order methods. It contains contributions from internationally respected experts, guaranteeing a wide range of expertise and topics. Further, it reflects an important effor</p><p>t, carried out over the last 12 years, to build a growing research community in this field.</p><p>Though not a textbook, some of the chapters can be used as reference materials or lecture notes for classes and tutorials (doctoral schools, master classes).</p>(*_*)9783319587868_<p>The special volume offers a global guide to new concepts and approaches concerning the following topics: reduced basis methods, proper orthogonal decomposition, proper generalized decomposition, approximation theory related to model reduction, learning theory and compressed sensing, stochastic and high-dimensional problems, system-theoretic methods, nonlinear model reduction, reduction of coupled problems/multiphysics, optimization and optimal control, state estimation and control, reduced order models and domain decomposition methods, Krylov-subspace and interpolatory methods, and applications to real industrial and complex problems.</p><p>The book represents the state of the art in the development of reduced order methods. It contains contributions from internationally respected experts, guaranteeing a wide range of expertise and topics. Further, it reflects an important effor</p><p>t, carried out over the last 12 years, to build a growing research community in this field.</p><p>Though not a textbook, some of the chapters can be used as reference materials or lecture notes for classes and tutorials (doctoral schools, master classes).</p>...9783319587868_Springer International Publishinglibro_electonico_715f9c09-0837-3ebf-8193-ab0cd5a364d9_9783319587868;9783319587868_9783319587868InglésMéxico2017-09-05T00:00:00+00:00Springer International Publishing