Proper Orthogonal Decomposition Methods for Partial Differential Equations (ePub)

Name: Proper Orthogonal Decomposition Methods for Partial Differential Equations
Brand: Elsevier Science & Techn.
SKU: 104899973
Price: 134.70 EUR
Availability: OnlineOnly

(Sprache: Englisch)

Autoren: Zhendong Luo , Goong Chen

Schreiben Sie einen Kommentar zu "Proper Orthogonal Decomposition Methods for Partial Differential Equations".

Proper Orthogonal Decomposition Methods for Partial Differential Equations, Zhendong Luo, Goong Chen

Merken

Proper Orthogonal Decomposition Methods for Partial Differential Equations evaluates the potential applications of POD reduced-order numerical methods in increasing computational efficiency, decreasing calculating load and alleviating the accumulation of...

Mehr zum Inhalt Autorenporträt Video

sofort als Download lieferbar

Bestellnummer: 104899973

eBook (ePub) 134.70 €

Download bestellen

Verschenken

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails
Download-DRM Infos

Produktinformationen zu „Proper Orthogonal Decomposition Methods for Partial Differential Equations (ePub)“

Proper Orthogonal Decomposition Methods for Partial Differential Equations evaluates the potential applications of POD reduced-order numerical methods in increasing computational efficiency, decreasing calculating load and alleviating the accumulation of truncation error in the computational process. Introduces the foundations of finite-differences, finite-elements and finite-volume-elements. Models of time-dependent PDEs are presented, with detailed numerical procedures, implementation and error analysis. Output numerical data are plotted in graphics and compared using standard traditional methods. These models contain parabolic, hyperbolic and nonlinear systems of PDEs, suitable for the user to learn and adapt methods to their own R&D problems.

Explains ways to reduce order for PDEs by means of the POD method so that reduced-order models have few unknowns
Helps readers speed up computation and reduce computation load and memory requirements while numerically capturing system characteristics
Enables readers to apply and adapt the methods to solve similar problems for PDEs of hyperbolic, parabolic and nonlinear types

Autoren-Porträt von Zhendong Luo, Goong Chen

Zhendong Luo is Professor of Mathematics at North China Electric Power University, Beijing, China. Luo is heavily involved in the areas of Optimizing Numerical Methods of PDEs; Finite Element Methods; Finite Difference Scheme; Finite Volume Element Methods; Spectral-Finite Methods; and Computational Fluid Dynamics. For the last 12 years, Luo has worked mainly on Reduced Order Numerical Methods based on Proper Orthogonal Decomposition Technique for Time Dependent Partial Differential Equations.

eBook Hilfe

Informationen und Hilfe zu eBooks hier klicken!

Bibliographische Angaben

Autoren: Zhendong Luo , Goong Chen
2018, 278 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0128167998
ISBN-13: 9780128167991
Erscheinungsdatum: 26.11.2018

Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.

eBook Informationen

Dateiformat: ePub
Größe: 24 MB
Mit Kopierschutz
Vorlesefunktion

Sprache:

Englisch

Kopierschutz

Dieses eBook können Sie uneingeschränkt auf allen Geräten der tolino Familie lesen. Zum Lesen auf sonstigen eReadern und am PC benötigen Sie eine Adobe ID.

Kommentar zu "Proper Orthogonal Decomposition Methods for Partial Differential Equations"

Schreiben Sie einen Kommentar zu "Proper Orthogonal Decomposition Methods for Partial Differential Equations".