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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Schneider, Rolf (Autor), Weil, Wolfgang (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Probability and Its Applications
Temas:
Probabilities.
Convex geometry .
Discrete geometry.
Probability Theory.
Convex and Discrete Geometry.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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