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Beschreibung
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.
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.
Zusammenfassung
First book on this topic addressing a large audience (from undergraduate students to experienced researchers)
New ways of problem solving
Inhaltsverzeichnis
From the Contents: Model order reduction based on proper orthogonal decomposition: Model reduction: extracting relevant information.- Interpolation of reduced basis: a geometrical approach.- POD for non-linear models.
Details
Erscheinungsjahr: | 2014 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
vii
227 S. 34 s/w Illustr. 40 farbige Illustr. 227 p. 74 illus. 40 illus. in color. |
ISBN-13: | 9783709117934 |
ISBN-10: | 3709117933 |
Sprache: | Englisch |
Herstellernummer: | 86366198 |
Einband: | Gebunden |
Autor: |
Chinesta, Francisco
Ladevèze, Pierre |
Redaktion: |
Ladevèze, Pierre
Chinesta, Francisco |
Herausgeber: | Francisco Chinesta/Pierre Ladevèze |
Hersteller: |
Springer Wien
Springer Vienna |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 19 mm |
Von/Mit: | Pierre Ladevèze (u. a.) |
Erscheinungsdatum: | 23.09.2014 |
Gewicht: | 0,524 kg |
Zusammenfassung
First book on this topic addressing a large audience (from undergraduate students to experienced researchers)
New ways of problem solving
Inhaltsverzeichnis
From the Contents: Model order reduction based on proper orthogonal decomposition: Model reduction: extracting relevant information.- Interpolation of reduced basis: a geometrical approach.- POD for non-linear models.
Details
Erscheinungsjahr: | 2014 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
vii
227 S. 34 s/w Illustr. 40 farbige Illustr. 227 p. 74 illus. 40 illus. in color. |
ISBN-13: | 9783709117934 |
ISBN-10: | 3709117933 |
Sprache: | Englisch |
Herstellernummer: | 86366198 |
Einband: | Gebunden |
Autor: |
Chinesta, Francisco
Ladevèze, Pierre |
Redaktion: |
Ladevèze, Pierre
Chinesta, Francisco |
Herausgeber: | Francisco Chinesta/Pierre Ladevèze |
Hersteller: |
Springer Wien
Springer Vienna |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 19 mm |
Von/Mit: | Pierre Ladevèze (u. a.) |
Erscheinungsdatum: | 23.09.2014 |
Gewicht: | 0,524 kg |
Sicherheitshinweis