Stochastic Geometry

Modern Research Frontiers
 
 
Springer (Verlag)
  • erschienen am 10. April 2019
 
  • Buch
  • |
  • Softcover
  • |
  • XIII, 229 Seiten
978-3-030-13546-1 (ISBN)
 
This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research.


Since 2014, the yearly meeting of the French research structure GDR GeoSto has been preceded by two introductory courses. This book contains five of these introductory lectures.


The first chapter is a historically motivated introduction to Stochastic Geometry which relates four classical problems (the Buffon needle problem, the Bertrand paradox, the Sylvester four-point problem and the bicycle wheel problem) to current topics. The remaining chapters give an application motivated introduction to contemporary Stochastic Geometry, each one devoted to a particular branch of the subject: understanding spatial point patterns through intensity and conditional intensities; stochastic methods for image analysis; random fields and scale invariance; and the theory of Gibbs point processes.


Exposing readers to a rich theory, this book will encourage further exploration of the subject and its wide applications.


Book
1st ed. 2019
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 44 s/w Abbildungen, 29 farbige Tabellen, 27 farbige Abbildungen
  • |
  • 41 schwarz-weiße und 29 farbige Abbildungen, 29 farbige Tabellen, Bibliographie
  • Höhe: 235 mm
  • |
  • Breite: 156 mm
  • |
  • Dicke: 17 mm
  • 398 gr
978-3-030-13546-1 (9783030135461)
10.1007/978-3-030-13547-8
weitere Ausgaben werden ermittelt

- Some Classical Problems in Random Geometry. - Understanding Spatial Point Patterns Through Intensity and Conditional Intensities. - Stochastic Methods for Image Analysis. - Introduction to Random Fields and Scale Invariance. - Introduction to the Theory of Gibbs Point Processes.

This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research.

Since 2014, the yearly meeting of the French research structure GDR GeoSto has been preceded by two introductory courses. This book contains five of these introductory lectures.

The first chapter is a historically motivated introduction to Stochastic Geometry which relates four classical problems (the Buffon needle problem, the Bertrand paradox, the Sylvester four-point problem and the bicycle wheel problem) to current topics. The remaining chapters give an application motivated introduction to contemporary Stochastic Geometry, each one devoted to a particular branch of the subject: understanding spatial point patterns through intensity and conditional intensities; stochastic methods for image analysis; random fields and scale invariance; and the theory of Gibbs point processes.

Exposing readers to a rich theory, this book will encourage further exploration of the subject and its wide applications.
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