Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization - Brossura

Libro 24 di 40: Mathematics and Visualization
 
9781447171041: Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization
Brossura
ISBN 10: 1447171047 ISBN 13: 9781447171041
Casa editrice: Springer, 2016

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2016
Lingua
Inglese
ISBN 10 
1447171047
ISBN 13 
9781447171041
Rilegatura
Copertina flessibile
Numero di pagine
420
Redattore
Hansen Charles D., Chen Min, Johnson Christopher R., Kaufman Arie E., Hagen Hans
Contatto del produttore
ProductSafety@springernature.com
ProductSafety@springernature.com

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Darmstadt
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Germania

Altre edizioni note dello stesso titolo

9781447164968: Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization

Edizione in evidenza

ISBN 10:  1447164962 ISBN 13:  9781447164968
Casa editrice: Springer Nature, 2014
Rilegato