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Stochastic Geometry -

Stochastic Geometry

Modern Research Frontiers

David Coupier (Herausgeber)

Buch | Softcover
XIII, 232 Seiten
2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-13546-1 (ISBN)
CHF 37,40 inkl. MwSt
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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.

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.

 


- 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.

"The volume will be of interest to active researchers in stochastic geometry who want a concise summary of current frontiers in the areas that it covers." (H. Van Dyke Parunak, Computing Reviews, April 13, 2021)

Erscheinungsdatum
Reihe/Serie Lecture Notes in Mathematics
Zusatzinfo XIII, 232 p. 71 illus., 27 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 385 g
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte convex geometry • Random Graphs • spatial statistics • stochastic geometry • Stochastic Processes
ISBN-10 3-030-13546-2 / 3030135462
ISBN-13 978-3-030-13546-1 / 9783030135461
Zustand Neuware
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