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Image of - Stochastic Geometry Modern Research Frontiers | Paperback
Stochastic Geometry Modern Research Frontiers | Paperback

Stochastic Geometry Modern Research Frontiers | Paperback

by Coupier D.

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. 

Highlights

  • binding-icon

    9783030135461

    ISBN:

  • binding-icon

    Coupier D.

    Author:

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    232

    Pages:

  • binding-icon

    215 gm

    Weight:

  • langauage-icon

    English

    Language:

  • date-icon

    2019

    Year:

  • edition-icon

    1st Edition

    Edition:

  • binding-icon

    Paperback

    Binding:

₹4850

₹6062

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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