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The Proper Generalized Decomposition for Advanced Numerical Simulations
A Primer
Taschenbuch von Francisco Chinesta (u. a.)
Sprache: Englisch

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Beschreibung
Many problems in scientific computing are intractable with classical numerical techniques. These fail, for example, in the solution of high-dimensional models due to the exponential increase of the number of degrees of freedom.
Recently, the authors of this book and their collaborators have developed a novel technique, called Proper Generalized Decomposition (PGD) that has proven to be a significant step forward. The PGD builds by means of a successive enrichment strategy a numerical approximation of the unknown fields in a separated form. Although first introduced and successfully demonstrated in the context of high-dimensional problems, the PGD allows for a completely new approach for addressing more standard problems in science and engineering. Indeed, many challenging problems can be efficiently cast into a multi-dimensional framework, thus opening entirely new solution strategies in the PGD framework. For instance, the material parameters and boundary conditions appearing in a particular mathematical model can be regarded as extra-coordinates of the problem in addition to the usual coordinates such as space and time. In the PGD framework, this enriched model is solved only once to yield a parametric solution that includes all particular solutions for specific values of the parameters.
The PGD has now attracted the attention of a large number of research groups worldwide. The present text is the first available book describing the PGD. It provides a very readable and practical introduction that allows the reader to quickly grasp the main features of the method. Throughout the book, the PGD is applied to problems of increasing complexity, and the methodology is illustrated by means of carefully selected numerical examples. Moreover, the reader has free access to the Matlab© software used to generate these examples.
Many problems in scientific computing are intractable with classical numerical techniques. These fail, for example, in the solution of high-dimensional models due to the exponential increase of the number of degrees of freedom.
Recently, the authors of this book and their collaborators have developed a novel technique, called Proper Generalized Decomposition (PGD) that has proven to be a significant step forward. The PGD builds by means of a successive enrichment strategy a numerical approximation of the unknown fields in a separated form. Although first introduced and successfully demonstrated in the context of high-dimensional problems, the PGD allows for a completely new approach for addressing more standard problems in science and engineering. Indeed, many challenging problems can be efficiently cast into a multi-dimensional framework, thus opening entirely new solution strategies in the PGD framework. For instance, the material parameters and boundary conditions appearing in a particular mathematical model can be regarded as extra-coordinates of the problem in addition to the usual coordinates such as space and time. In the PGD framework, this enriched model is solved only once to yield a parametric solution that includes all particular solutions for specific values of the parameters.
The PGD has now attracted the attention of a large number of research groups worldwide. The present text is the first available book describing the PGD. It provides a very readable and practical introduction that allows the reader to quickly grasp the main features of the method. Throughout the book, the PGD is applied to problems of increasing complexity, and the methodology is illustrated by means of carefully selected numerical examples. Moreover, the reader has free access to the Matlab© software used to generate these examples.
Zusammenfassung

Includes supplementary material: [...]

Inhaltsverzeichnis

1 Introduction.- 2 PGD solution of the Poisson equation.- 3 PGD versus SVD.- 4 The transient diffusion equation.- 5 Parametric models.- 6 Advanced topics.

Details
Erscheinungsjahr: 2013
Fachbereich: Fertigungstechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 132
Reihe: SpringerBriefs in Applied Sciences and Technology
Inhalt: xiii
117 S.
26 s/w Illustr.
8 farbige Illustr.
117 p. 34 illus.
8 illus. in color.
ISBN-13: 9783319028644
ISBN-10: 3319028642
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Chinesta, Francisco
Leygue, Adrien
Keunings, Roland
Auflage: 2014
Hersteller: Springer International Publishing
Springer International Publishing AG
SpringerBriefs in Applied Sciences and Technology
Maße: 235 x 155 x 8 mm
Von/Mit: Francisco Chinesta (u. a.)
Erscheinungsdatum: 18.10.2013
Gewicht: 0,213 kg
preigu-id: 105637711
Zusammenfassung

Includes supplementary material: [...]

Inhaltsverzeichnis

1 Introduction.- 2 PGD solution of the Poisson equation.- 3 PGD versus SVD.- 4 The transient diffusion equation.- 5 Parametric models.- 6 Advanced topics.

Details
Erscheinungsjahr: 2013
Fachbereich: Fertigungstechnik
Genre: Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 132
Reihe: SpringerBriefs in Applied Sciences and Technology
Inhalt: xiii
117 S.
26 s/w Illustr.
8 farbige Illustr.
117 p. 34 illus.
8 illus. in color.
ISBN-13: 9783319028644
ISBN-10: 3319028642
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Chinesta, Francisco
Leygue, Adrien
Keunings, Roland
Auflage: 2014
Hersteller: Springer International Publishing
Springer International Publishing AG
SpringerBriefs in Applied Sciences and Technology
Maße: 235 x 155 x 8 mm
Von/Mit: Francisco Chinesta (u. a.)
Erscheinungsdatum: 18.10.2013
Gewicht: 0,213 kg
preigu-id: 105637711
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