Scientific visualization: the visual extraction of knowledge from data
How to master, organize and extract useful knowledge from the overwhelming flow of information made available by today s data acquisition systems and computing resources has become one of the greatest scientific challenges of the 21st century. Visualization is the premium means of taking up this cha...
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| Главный автор: | |
|---|---|
| Другие авторы: | , |
| Формат: | Livre numérique |
| Язык: | Anglais |
| Опубликовано: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Редактирование: | 1st ed. 2006. |
| Серии: | Mathematics and Visualization
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| Предметы: | |
| Online-ссылка: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Примечание: |
Description d'après consultation du 21 avril 2011 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Scientific Visualization: The Visual Extraction of Knowledge from Data, Texte imprimé, 9783540811138 • Scientific Visualization: The Visual Extraction of Knowledge from Data, Texte imprimé, 9783642065392 • Scientific visualization, the visual extraction of knowledge from data, Georges-Pierre Bonneau, Thomas Ertl, Gregory M. Nielson, editors, 2006, Berlin, Springer, 1 vol. (IX-432 p.), Mathematics and visualization, 3-540-26066-8 |