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Mathematical foundations of scientific visualization, computer graphics, and massive data exploration

Contributor(s): Moller, Torsten [Editor] | Hamann, Bernd [Editor] | Russell, Robert D [Editor].
Material type: materialTypeLabelBookSeries: Mathematics and visualization.Publisher: Berlin Springer 2009Description: x, 350 p.ISBN: 9783540250760.Subject(s): Computer and information systems | Electronic data processing - Mathematical models - Congresses | Computer algorithms - Congresses | Information visualization - Mathematical models - Congresses | Computer graphics - Mathematical models - CongressesDDC classification: 006.60151 Summary: 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.
List(s) this item appears in: VR_Healthcare Analytics | Big data | VR_Data Analytics, Data Visualization and Big Data
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Books Vikram Sarabhai Library
Slot 107 (0 Floor, West Wing) Non-fiction 006.60151 M2 (Browse shelf) Available 178972

Contains papers from a workshop held at the Banff International Research Station, Banff Centre, Canada, from May 22 to May 27, 2004.

Includes bibliographical references.

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.

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