Multiresolution methods in scattered data modelling
This application-oriented work is concerned with the design of efficient, robust and reliable methods for modelling multiscale phenomena. To this end, various modern techniques from scattered data modelling are used, such as triangulation methods and radial basis functions. The new methods, proposed in this work, are thinning algorithms, multilevel approximation schemes, and meshless methods for transport equations. The utility of the algorithmic approach taken in this research is supported by the wide range of relevant applications, including digital image compression, hierarchical surface visualization, and fluid flow modelling.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISBN
-
9783540204794
3540204792
- Dimensions
-
24 cm
- Extent
-
XII, 182 S.
- Language
-
Englisch
- Notes
-
Ill., graph. Darst.
Literaturverz. S. 171 - 180
- Bibliographic citation
-
Lecture notes in computational science and engineering ; Vol. 37
- Classification
-
Mathematik
- Keyword
-
Scattered-Data-Interpolation
Verdünnung
Triangulation
Radiale Basisfunktion
Mehrskalenanalyse
- Event
-
Veröffentlichung
- (where)
-
Berlin, Heidelberg, New York, Hong Kong, London, Milan, Paris, Tokyo
- (who)
-
Springer
- (when)
-
2004
- Creator
- Table of contents
- Rights
-
Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
- Last update
-
11.06.2025, 1:36 PM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Iske, Armin
- Springer
Time of origin
- 2004
Other Objects (12)
Multiresolution methods in scattered data modelling
Two-stage methods for fitting surfaces to scattered data
Advances in multiresolution for geometric modelling
Scattered manifold-valued data approximation
Comparison of various texture classification methods using multiresolution analysis and linear regression modelling
Multiscale and multiresolution methods : theory and applications
Robust local approximation of scattered data
Robust local approximation of scattered data
Tutorials on multiresolution in geometric modelling : summer school lecture notes
Application of hierarchical matrices to scattered data interpolation
Remain(s) Scattered
Multiresolution image segmentation
Multiresolution methods in scattered data modelling
Two-stage methods for fitting surfaces to scattered data
Advances in multiresolution for geometric modelling
Scattered manifold-valued data approximation
Comparison of various texture classification methods using multiresolution analysis and linear regression modelling
Multiscale and multiresolution methods : theory and applications
Robust local approximation of scattered data
Robust local approximation of scattered data
Tutorials on multiresolution in geometric modelling : summer school lecture notes
Application of hierarchical matrices to scattered data interpolation
Remain(s) Scattered
Multiresolution image segmentation
Multiresolution methods in scattered data modelling
Two-stage methods for fitting surfaces to scattered data
Advances in multiresolution for geometric modelling
Scattered manifold-valued data approximation
Comparison of various texture classification methods using multiresolution analysis and linear regression modelling
Multiscale and multiresolution methods : theory and applications
Robust local approximation of scattered data
Robust local approximation of scattered data
Tutorials on multiresolution in geometric modelling : summer school lecture notes
Application of hierarchical matrices to scattered data interpolation
Remain(s) Scattered