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Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization (Mathematics and Visualization)From Springer
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Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed volume studies the four important topics within the scientific visualization field: uncertainty visualization, multifield visualization, biomedical visualization and scalable visualization.
• Uncertainty visualization deals with uncertain data from simulations or sampled data, uncertainty due to the mathematical processes operating on the data, and uncertainty in the visual representation,
• Multifield visualization addresses the need to depict multiple data at individual locations and the combination of multiple datasets,
• Biomedical is a vast field with select subtopics addressed from scanning methodologies to structural applications to biological applications,
• Scalability in scientific visualization is critical as data grows and computational devices range from hand-held mobile devices to exascale computational platforms.
Scientific Visualization will be useful to practitioners of scientific visualization, students interested in both overview and advanced topics, and those interested in knowing more about the visualization process.
- Sales Rank: #218999 in Books
- Published on: 2014-09-19
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x .94" w x 6.14" l, .0 pounds
- Binding: Hardcover
- 400 pages
From the Back Cover
Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed�volume studies the four important topics within the scientific visualization field: uncertainty visualization, multifield visualization, biomedical visualization and scalable visualization.
• Uncertainty visualization deals with uncertain data from simulations or sampled data, uncertainty due to the mathematical processes operating on the data, and uncertainty in the visual representation,
• Multifield visualization addresses the need to depict multiple data at individual locations and the combination of multiple datasets,
• Biomedical is a vast field with select subtopics addressed from scanning methodologies to structural applications to biological applications,
• Scalability in scientific visualization is critical as data grows and computational devices range from hand-held mobile devices to exascale computational platforms.
Scientific Visualization will be useful to practitioners of scientific visualization, students interested in both overview and advanced topics, and those interested in knowing more about the visualization process.
Review
From the book reviews:
“This carefully edited volume consists of papers contributed by the participants of a seminar held in Dagstuhl, Germany in 2011. … The book will surely be well received by scientists, engineers, and medical practitioners. It is a must-have for a scientific library.” (Soubhik Chakraborty, Computing Reviews, February, 2015)
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