Stochastic and Integral Geometry
Stochastic geometry has in recent years experienced considerable progress, both in its applications to other sciences and engineering, and in its theoretical foundations and mathematical expansion. This book, by two eminent specialists of the subject, provides a solid mathematical treatment of the b...
Guardat en:
| Autors principals: | , |
|---|---|
| Format: | Livre numérique |
| Idioma: | Anglais |
| Publicat: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edició: | 1st ed. 2008. |
| Col·lecció: | Probability and Its Applications
|
| Matèries: | |
| Accés en línia: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
L'impression du document génère 688 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Stochastic and integral geometry, Rolf Schneider, Wolfgang Weil, 2008, Berlin, Springer, 1 vol. (XI-693 p.), Probability and its applications, 978-3-540-78858-4 • Stochastic and Integral Geometry, Texte imprimé, 9783540871521 • Stochastic and integral geometry, Rolf Schneider, Wolfgang Weil, 2008, Berlin, Springer, 1 vol. (XI-693 p.), Probability and its applications, 978-3-540-78858-4 |
Taula de continguts:
- Foundations of Stochastic Geometry Prolog Random Closed Sets Point Processes Geometric Models Integral Geometry Averaging with Invariant Measures Extended Concepts of Integral Geometry Integral Geometric Transformations Selected Topics from Stochastic Geometry Some Geometric Probability Problems Mean Values for Random Sets Random Mosaics Non-stationary Models Facts from General Topology Invariant Measures Facts from Convex Geometry.