Stochastic Geometry: Modern Research Frontiers by David CoupierStochastic Geometry: Modern Research Frontiers by David Coupier

Stochastic Geometry: Modern Research Frontiers

byDavid Coupier

Paperback | April 10, 2019

Pricing and Purchase Info

$78.50

Earn 393 plum® points

Prices and offers may vary in store

Quantity:

In stock online

Ships free on orders over $25

Not available in stores

about

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.

 


Title:Stochastic Geometry: Modern Research FrontiersFormat:PaperbackProduct dimensions:232 pages, 9.41 × 7.24 × 0.98 inShipping dimensions:9.41 × 7.24 × 0.98 inPublished:April 10, 2019Publisher:Springer NatureLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3030135462

ISBN - 13:9783030135461

Reviews

Table of Contents

- 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.