Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration

Torsten M�ller (u. a.)

ISBN 10: 354025076X ISBN 13: 9783540250760

Edit� par Springer, 2009

impression � la demande

Neuf(s) Buch

Vendeur preigu, Osnabr�ck, Allemagne �valuation du vendeur 5 sur 5 �toiles

Vendeur AbeBooks depuis 5 ao�t 2024

Cet article sp�cifique n'est plus disponible.

Afficher tous les articles du vendeur Cr�er une demande de livres portant sur des articles similaires

Afficher tous les exemplaires de ce livre

A propos de cet article

Signaler cet article

Synopsis :

The goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution imaging devices and incre- ingly common environment-embedded sensors are the primary generators of m- sive data sets. Being able to derive scienti?c insight from data increasingly depends on having mathematical and perceptual models to provide the necessary foundation for effective data analysis and comprehension. The peer-reviewed state-of-the-art research papers included in this book focus on continuous data models, such as is common in medical imaging or computational modeling. From the viewpoint of a visualization scientist, we typically collaborate with an application scientist or engineer who needs to visually explore or study an object which is given by a set of sample points, which originally may or may not have been connected by a mesh. At some point, one generally employs low-order piecewise polynomial approximationsof an object, using one or several dependent functions. In order to have an understanding of a higher-dimensional geometrical "object" or function, ef?cient algorithms supporting real-time analysis and manipulation (- tation, zooming) are needed. Often, the data represents 3D or even time-varying 3D phenomena (such as medical data), and the access to different layers (slices) and structures (the underlying topology) comprising such data is needed.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

D�tails bibliographiques

Titre : Mathematical Foundations of Scientific ...
�diteur : Springer
Date d'�dition : 2009
Reliure : Buch
Etat : Neu

Meilleurs r�sultats de recherche sur AbeBooks

Image d'archives

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration.

M�ller, Torsten; Bernd Hamann; Robert Russell (Eds.)

Edit� par Berlin, Springer., 2009

ISBN 10 : 354025076X ISBN 13 : 9783540250760

Ancien ou d'occasion Couverture rigide

Vendeur : Universit�tsbuchhandlung Herta Hold GmbH, Berlin, Allemagne

�valuation du vendeur 5 sur 5 �toiles

183 figs., 15 tabs., X, 350 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband besto�en, daher M�ngelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Mathematics and Visualization Sprache: Englisch. N� de r�f. du vendeur 5036DB

Contacter le vendeur

Acheter D'occasion

EUR 16

Exp�dition �EUR 30
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 4 disponible(s)

Ajouter au panier

Image d'archives

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration

Unbekannt

Edit� par Springer Spektrum, 2009

ISBN 10 : 354025076X ISBN 13 : 9783540250760

Ancien ou d'occasion Couverture rigide

Vendeur : Buchpark, Trebbin, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Etat : Sehr gut. Zustand: Sehr gut | Seiten: 364 | Sprache: Englisch | Produktart: B�cher | The goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution imaging devices and incre- ingly common environment-embedded sensors are the primary generators of m- sive data sets. Being able to derive scienti?c insight from data increasingly depends on having mathematical and perceptual models to provide the necessary foundation for effective data analysis and comprehension. The peer-reviewed state-of-the-art research papers included in this book focus on continuous data models, such as is common in medical imaging or computational modeling. From the viewpoint of a visualization scientist, we typically collaborate with an application scientist or engineer who needs to visually explore or study an object which is given by a set of sample points, which originally may or may not have been connected by a mesh. At some point, one generally employs low-order piecewise polynomial approximationsof an object, using one or several dependent functions. In order to have an understanding of a higher-dimensional geometrical �object� or function, ef?cient algorithms supporting real-time analysis and manipulation (- tation, zooming) are needed. Often, the data represents 3D or even time-varying 3D phenomena (such as medical data), and the access to different layers (slices) and structures (the underlying topology) comprising such data is needed. N� de r�f. du vendeur 4946428/12

Contacter le vendeur

Acheter D'occasion

EUR 39,64

Exp�dition �EUR 105
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration

M�ller, Torsten|Hamann, Bernd|Russell, Robert

Edit� par Springer Berlin Heidelberg, 2009

ISBN 10 : 354025076X ISBN 13 : 9783540250760

Neuf Couverture rigide

impression � la demande

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 4 sur 5 �toiles

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Cutting-edge research in a fast-moving cross-disciplinary field touching visualization, computer graphics, and CSEThe goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution . N� de r�f. du vendeur 4886376

Contacter le vendeur

Acheter neuf

EUR 92,27

Exp�dition �EUR 48,99
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration (Mathematics and Visualization)

Edit� par Springer, 2009

ISBN 10 : 354025076X ISBN 13 : 9783540250760

Neuf Couverture rigide

Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis

�valuation du vendeur 5 sur 5 �toiles

Etat : New. N� de r�f. du vendeur ABLIING23Mar3113020164068

Contacter le vendeur

Acheter neuf

EUR 103,59

Exp�dition �EUR 3,43
Exp�dition nationale�: Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration

Torsten M�ller

Edit� par Springer Berlin Heidelberg, 2009

ISBN 10 : 354025076X ISBN 13 : 9783540250760

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution imaging devices and incre- ingly common environment-embedded sensors are the primary generators of m- sive data sets. Being able to derive scienti c insight from data increasingly depends on having mathematical and perceptual models to provide the necessary foundation for effective data analysis and comprehension. The peer-reviewed state-of-the-art research papers included in this book focus on continuous data models, such as is common in medical imaging or computational modeling. From the viewpoint of a visualization scientist, we typically collaborate with an application scientist or engineer who needs to visually explore or study an object which is given by a set of sample points, which originally may or may not have been connected by a mesh. At some point, one generally employs low-order piecewise polynomial approximationsof an object, using one or several dependent functions. In order to have an understanding of a higher-dimensional geometrical 'object' or function, ef cient algorithms supporting real-time analysis and manipulation (- tation, zooming) are needed. Often, the data represents 3D or even time-varying 3D phenomena (such as medical data), and the access to different layers (slices) and structures (the underlying topology) comprising such data is needed. N� de r�f. du vendeur 9783540250760

Contacter le vendeur

Acheter neuf

EUR 106,99

Exp�dition �EUR 63,89
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration

Torsten M�ller

Edit� par Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2009, 2009

ISBN 10 : 354025076X ISBN 13 : 9783540250760

Neuf Couverture rigide

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Neuware -The goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution imaging devices and incre- ingly common environment-embedded sensors are the primary generators of m- sive data sets. Being able to derive scienti c insight from data increasingly depends on having mathematical and perceptual models to provide the necessary foundation for effective data analysis and comprehension. The peer-reviewed state-of-the-art research papers included in this book focus on continuous data models, such as is common in medical imaging or computational modeling. From the viewpoint of a visualization scientist, we typically collaborate with an application scientist or engineer who needs to visually explore or study an object which is given by a set of sample points, which originally may or may not have been connected by a mesh. At some point, one generally employs low-order piecewise polynomial approximationsof an object, using one or several dependent functions. In order to have an understanding of a higher-dimensional geometrical �object� or function, ef cient algorithms supporting real-time analysis and manipulation (- tation, zooming) are needed. Often, the data represents 3D or even time-varying 3D phenomena (such as medical data), and the access to different layers (slices) and structures (the underlying topology) comprising such data is needed.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 364 pp. Englisch. N� de r�f. du vendeur 9783540250760

Contacter le vendeur

Acheter neuf

EUR 106,99

Exp�dition �EUR 60
Exp�dition depuis Allemagne vers Etats-Unis

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration

Torsten M�ller

Edit� par Springer Berlin Heidelberg Jun 2009, 2009

ISBN 10 : 354025076X ISBN 13 : 9783540250760

Neuf Couverture rigide

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution imaging devices and incre- ingly common environment-embedded sensors are the primary generators of m- sive data sets. Being able to derive scienti c insight from data increasingly depends on having mathematical and perceptual models to provide the necessary foundation for effective data analysis and comprehension. The peer-reviewed state-of-the-art research papers included in this book focus on continuous data models, such as is common in medical imaging or computational modeling. From the viewpoint of a visualization scientist, we typically collaborate with an application scientist or engineer who needs to visually explore or study an object which is given by a set of sample points, which originally may or may not have been connected by a mesh. At some point, one generally employs low-order piecewise polynomial approximationsof an object, using one or several dependent functions. In order to have an understanding of a higher-dimensional geometrical 'object' or function, ef cient algorithms supporting real-time analysis and manipulation (- tation, zooming) are needed. Often, the data represents 3D or even time-varying 3D phenomena (such as medical data), and the access to different layers (slices) and structures (the underlying topology) comprising such data is needed. 364 pp. Englisch. N� de r�f. du vendeur 9783540250760

Contacter le vendeur