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Integral Geometry and Geometric Probability
Open accessAbstract
Now available in the Cambridge Mathematical Library, the classic work from Luis Santaló. Integral geometry originated with problems on geometrical probability and convex bodies. Its later developments, however, have proved to be useful in several fields ranging from pure mathematics (measure theory, continuous groups) to technical and applied disciplines (pattern recognition, stereology). The book is a systematic exposition of the theory and a compilation of the main results in the field. The volume can be used to complement courses on differential geometry, Lie groups or probability or differential geometry. It is ideal both as a reference and for those wishing to enter the field.
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Citations
Cited by
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Juuti, M., Szyller, S., Marchal, S., & Asokan, N. (2019) · 2019 IEEE European Symposium on Security and Privacy (EuroS&P) · doi:10.1109/eurosp.2019.00044 · Cited by 440
A new test for multivariate normality
Székely, G. J., & Rizzo, M. L. (2005) · Journal of Multivariate Analysis · doi:10.1016/j.jmva.2003.12.002 · Cited by 317
Worsley (1996) · doi:10.1002/(sici)1097-0193(1996)4:1
Metadata
- Authors
- Santaló, L. A., & Kac, M.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2004-10-28
- OpenAlex
- W1996931690
- Cited by
- 1,794
- References
- 0
- FWCI
- 23.96
- Type
- book
- Language
- en
- Open access
- green
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- Santaló, L. A., & Kac, M. (2004). Integral Geometry and Geometric Probability. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511617331
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
