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Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
. Ed(S): Moller, Torsten; Hamann, Bernd; Russell, Robert D.
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Description for Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
Paperback. Here is a summary of cutting-edge research ideas on visualization presented at a key workshop in Banff, Canada, where new algorithms were discussed based on sophisticated modeling techniques that permit the extraction of high-level topological structures. Editor(s): Moller, Torsten; Hamann, Bernd; Russell, Robert D. Series: Mathematics and Visualization. Num Pages: 360 pages, 49 black & white illustrations, 134 colour illustrations, 15 black & white tables, biogra. BIC Classification: PBC; UG; UY. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 19. Weight in Grams: 544.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
360
Condition
New
Series
Mathematics and Visualization
Number of Pages
350
Place of Publication
Berlin, Germany
ISBN
9783642064142
SKU
V9783642064142
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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