Separated Representations and PGD-Based Model Reduction
. Ed(s): Chinesta, Francisco; Ladeveze, Pierre
ISBN 10: 3709117933 ISBN 13: 9783709117934
Editore: Springer Verlag GmbH, 2014
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Editor(s): Chinesta, Francisco; Ladeveze, Pierre. Series: CISM International Centre for Mechanical Sciences. Num Pages: 234 pages, 74 black & white illustrations, biography. BIC Classification: PDE; UGC. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 15. Weight in Grams: 640. . 2014. Hardback. . . . . Books ship from the US and Ireland. Codice articolo V9783709117934
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The papers in this volume start with a description of the construction of reduced models through a review of Proper Orthogonal Decomposition (POD) and reduced basis models, including their mathematical foundations and some challenging applications, then followed by a description of a new generation of simulation strategies based on the use of separated representations (space-parameters, space-time, space-time-parameters, space-space, ), which have led to what is known as Proper Generalized Decomposition (PGD) techniques. The models can be enriched by treating parameters as additional coordinates, leading to fast and inexpensive online calculations based on richer offline parametric solutions. Separated representations are analyzed in detail in the course, from their mathematical foundations to their most spectacular applications. It is also shown how such an approximation could evolve into a new paradigm in computational science, enabling one to circumvent various computational issues in a vast array of applications in engineering science.
Dalla quarta di copertina: The papers in this volume start with a description of the construction of reduced models through a review of Proper Orthogonal Decomposition (POD) and reduced basis models, including their mathematical foundations and some challenging applications, then followed by a description of a new generation of simulation strategies based on the use of separated representations (space-parameters, space-time, space-time-parameters, space-space, ), which have led to what is known as Proper Generalized Decomposition (PGD) techniques. The models can be enriched by treating parameters as additional coordinates, leading to fast and inexpensive online calculations based on richer offline parametric solutions. Separated representations are analyzed in detail in the course, from their mathematical foundations to their most spectacular applications. It is also shown how such an approximation could evolve into a new paradigm in computational science, enabling one to circumvent various computational issues in a vast array of applications in engineering science.
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Titolo: Separated Representations and PGD-Based ...
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Data di pubblicazione: 2014
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Separated representations and PGD - Based model reduction Fundamentals and applications
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Springer Verlag, Vienna - New York, 2014
ISBN 10: 3709117933
ISBN 13: 9783709117934
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Condizione: BUONO USATO. CISM Courses and lectures INGLESE Legatura editoriale in cartoncino rigido plastificato. Buonissimo lo stato di conservazione, pagine perfettamente tenute e candide, ricche di grafici, calcoli, tabelle e figure, a colori e in nero, nel testo. Volume n. DLIV ( 554 ) della collana. Numero pagine 227. Codice articolo NCE5788
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book on this topic addressing a large audience (from undergraduate students to experienced researchers)Hot topicNew ways of problem solvingThe papers in this volume start with a description of the construction of reduced model. Codice articolo 5249823
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Separated Representations and PGD-Based Model Reduction: Fundamentals and Applications
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Separated Representations and PGD-Based Model Reduction: Fundamentals and Applications (CISM International Centre for Mechanical Sciences, 554)
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Separated Representations and PGD-Based Model Reduction (Hardcover)
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ISBN 10: 3709117933
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Hardcover. Condizione: new. Hardcover. The papers in this volume start with a description of the construction of reduced models through a review of Proper Orthogonal Decomposition (POD) and reduced basis models, including their mathematical foundations and some challenging applications, then followed by a description of a new generation of simulation strategies based on the use of separated representations (space-parameters, space-time, space-time-parameters, space-space,), which have led to what is known as Proper Generalized Decomposition (PGD) techniques. The models can be enriched by treating parameters as additional coordinates, leading to fast and inexpensive online calculations based on richer offline parametric solutions. Separated representations are analyzed in detail in the course, from their mathematical foundations to their most spectacular applications. It is also shown how such an approximation could evolve into a new paradigm in computational science, enabling one to circumvent various computational issues in a vast array of applications in engineering science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783709117934
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ISBN 10: 3709117933
ISBN 13: 9783709117934
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The papers in this volume start with a description of the construction of reduced models through a review of Proper Orthogonal Decomposition (POD) and reduced basis models, including their mathematical foundations and some challenging applications, then followed by a description of a new generation of simulation strategies based on the use of separated representations (space-parameters, space-time, space-time-parameters, space-space,.), which have led to what is known as Proper Generalized Decomposition (PGD) techniques. The models can be enriched by treating parameters as additional coordinates, leading to fast and inexpensive online calculations based on richer offline parametric solutions. Separated representations are analyzed in detail in the course, from their mathematical foundations to their most spectacular applications. It is also shown how such an approximation could evolve into a new paradigm in computational science, enabling one to circumvent various computational issues in a vast array of applications in engineering science. 236 pp. Englisch. Codice articolo 9783709117934
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The papers in this volume start with a description of the construction of reduced models through a review of Proper Orthogonal Decomposition (POD) and reduced basis models, including their mathematical foundations and some challenging applications, then followed by a description of a new generation of simulation strategies based on the use of separated representations (space-parameters, space-time, space-time-parameters, space-space,.), which have led to what is known as Proper Generalized Decomposition (PGD) techniques. The models can be enriched by treating parameters as additional coordinates, leading to fast and inexpensive online calculations based on richer offline parametric solutions. Separated representations are analyzed in detail in the course, from their mathematical foundations to their most spectacular applications. It is also shown how such an approximation could evolve into a new paradigm in computational science, enabling one to circumvent various computational issues in a vast array of applications in engineering science. Codice articolo 9783709117934
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Separated Representations and PGD-Based Model Reduction
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Springer Vienna, Springer Vienna Sep 2014, 2014
ISBN 10: 3709117933
ISBN 13: 9783709117934
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The papers in this volume start with a description of the construction of reduced models through a review of Proper Orthogonal Decomposition (POD) and reduced basis models, including their mathematical foundations and some challenging applications, then followed by a description of a new generation of simulation strategies based on the use of separated representations (space-parameters, space-time, space-time-parameters, space-space,æ), which have led to what is known as Proper Generalized Decomposition (PGD) techniques. The models can be enriched by treating parameters as additional coordinates, leading to fast and inexpensive online calculations based on richer offline parametric solutions. Separated representations are analyzed in detail in the course, from their mathematical foundations to their most spectacular applications. It is also shown how such an approximation could evolve into a new paradigm in computational science, enabling one to circumvent various computational issues in a vast array of applications in engineering science.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 236 pp. Englisch. Codice articolo 9783709117934
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Condizione: As New. Unread book in perfect condition. Codice articolo 21962582
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