Multiscale Wavelet Methods for Partial Differential Equations

Dahmen,Kurdila,Oswald,

ISBN 10: 0122006755 / ISBN 13: 9780122006753

Editore: Academic Press, 1997

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Dati bibliografici

• Titolo: Multiscale Wavelet Methods for Partial Differential Equations
• Editore: Academic Press
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 0122006755
• ISBN 13: 9780122006753
• Rilegatura: Rilegato
• Condizione: Brand New

Descrizione articolo

Riassunto

This latest volume in the Wavelets Analysis and Its Applications Series provides significant and up-to-date insights into recent developments in the field of wavelet constructions in connection with partial differential equations. Specialists in numerical applications and engineers in a variety of fields will find Multiscale Wavelet for Partial Differential Equations to be a valuable resource.

Key Features
* Covers important areas of computational mechanics such as elasticity and computational fluid dynamics
* Includes a clear study of turbulence modeling
* Contains recent research on multiresolution analyses with operator-adapted wavelet discretizations
* Presents well-documented numerical experiments connected with the development of algorithms, useful in specific applications

Dalla quarta di copertina

Multiscale Wavelet Methods for Partial Differential Equations is the sixth volume in the well-respected series Wavelet Analysis and Its Applications. Wavelet methods are well established as a new and powerful mathematical tool with applications in Signal Analysis, Image Processing. Theoretical Physics, and Mathematics. In numerical solution of partial differentail equations, multiscale wavelet methods compete with well-established and effective approach and the standard techniques. It is designed to update current developments in partial differential equations related to the wavelet approach. The fourteen chapters included in this volume were prepared by some of the leading professionals in this developing field, and they delve into the recent advances and future prospects of this methodology specifically in the area of partial differential equations.