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Published by Springer, Palgrave Macmillan, 2019
ISBN 10: 3030135462 ISBN 13: 9783030135461
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Taschenbuch. Condition: Neu. Stochastic Geometry | Modern Research Frontiers | David Coupier | Taschenbuch | Lecture Notes in Mathematics | xiii | Englisch | 2019 | Springer | EAN 9783030135461 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Springer International Publishing, Springer Nature Switzerland Apr 2019, 2019
ISBN 10: 3030135462 ISBN 13: 9783030135461
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 248 pp. Englisch.
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ISBN 10: 3030135462 ISBN 13: 9783030135461
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains a historically motivated introduction to Stochastic GeometryGives a unique and accessible overview, up to the frontiers of recent research, of the most active fields in Stochastic GeometryNumerous figures illustrate the chapters&nb.
Language: English
Published by Springer, Palgrave Macmillan Apr 2019, 2019
ISBN 10: 3030135462 ISBN 13: 9783030135461
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 248 pp. Englisch.