separated representations pgd based model (12 résultats)

Etat : 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.

Etat : New.

Etat : New. In English.

Etat : New. 2014th edition NO-PA03JAN2015-KAP.

Hardcover. Etat : Brand New. 2014 edition. 227 pages. 9.25x6.00x0.75 inches. In Stock.

Buch. Etat : 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.

Couverture rigide. Etat : Neuf.

Buch. Etat : 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.

Etat : 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.

Etat : New. PRINT ON DEMAND.

Buch. Etat : Neu. Separated Representations and PGD-Based Model Reduction | Fundamentals and Applications | Pierre Ladevèze (u. a.) | Buch | vii | Englisch | 2014 | Springer | EAN 9783709117934 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Buch. Etat : 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,¿), 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.