Massive Geometric Algebra: Visions for C++ Implementations of Geometric Algebra to Scale into the Big Data Era

Author:

Benger Werner,Dobler Wolfgang

Funder

Division of Information and Intelligent Systems

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Reference32 articles.

1. Benger, W., Hamilton, A., Folk, M., Koziol, Q., Su, S., Schnetter, E., Ritter, M., Ritter, G.: Using geometric algebra for navigation in Riemannian and hard disc space. In: Skala, V., Hildebrand, D. (eds.) GraVisMa 2009—Computer Graphics, Vision and Mathematics for Scientific Computing. UNION Agency, Na Mazinach 9, CZ 322 00 Plzen, Czech Republic (2010)

2. Benger, W., Heinzl, R., Hildenbrand, D., Weinkauf, T., Theisel, H., Tschumperle, D.: Differential Methods for Multi-Dimensional Visual Data Analysis, chapter 50. Springer Science + Business Media LLC (2010)

3. Benger, W.: Classifying data for scientific visualization via fiber bundles. In: Leroy, C., Rancoita, P.-G. (eds.) International Conference on Advanced Technology and Particle Physics. ICATPP-11, Como, Italy, Oct 5–9, 2009 pp. 666–675. World Scientific, Singapore (2009). http://villaolmo.mib.infn.it/Conference2009.html

4. Benger, W.: On safari in the file format jungle—why can’t you visualize my data? IEEE Des. Test. 11(6), 98–102 (2009). doi: 10.1109/MCSE.2009.202

5. Benger, W.: Visualization of General Relativistic Tensor Fields via a Fiber Bundle Data Model. PhD thesis, FU Berlin (2004). http://www.lob.de/isbn/3865411088

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