Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration (Mathematics and Visualization) - Tapa dura
Libro 17 de 40: Mathematics and Visualization
Sinopsis
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.
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De la contraportada
Visualization is one of the most active and exciting areas of Mathematics and Computing Science, and indeed one which is only beginning to mature. Current visualization algorithms break down for very large data sets. While present approaches use multi-resolution ideas, future data sizes will not be handled that way. New algorithms based on sophisticated mathematical modeling techniques must be devised which will permit the extraction of high-level topological structures that can be visualized.
For these reasons a workshop was organized at the Banff International Research Station, focused specifically on mathematical issues. A primary objective of the workshop was to gather together a diverse set of researchers in the mathematical areas relevant to the recent advances in order to discuss the research challenges facing this field in the next several years. The workshop was organized into five different thrusts:
- Topology and Discrete Methods
- Signal and Geometry Processing
- Partial Differential Equations
- Data Approximation Techniques
- Massive Data Applications
This book presents a summary of the research ideas presented at this workshop.
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Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration.
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Berlin, Springer., 2009
ISBN 10: 354025076X
ISBN 13: 9783540250760
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Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
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Springer Berlin Heidelberg Jun 2009, 2009
ISBN 10: 354025076X
ISBN 13: 9783540250760
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Buch. Condición: 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. Nº de ref. del artículo: 9783540250760
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Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
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Springer Berlin Heidelberg, 2009
ISBN 10: 354025076X
ISBN 13: 9783540250760
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Condición: 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 . Nº de ref. del artículo: 4886376
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Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 364 | Sprache: Englisch | Produktart: Bücher | 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. Nº de ref. del artículo: 4946428/12
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Buch. Condición: Neu. Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration | Torsten Möller (u. a.) | Buch | Mathematics and Visualization | x | Englisch | 2009 | Springer | EAN 9783540250760 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 101682029
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Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
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Springer, Springer Vieweg Jun 2009, 2009
ISBN 10: 354025076X
ISBN 13: 9783540250760
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 364 pp. Englisch. Nº de ref. del artículo: 9783540250760
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