书目名称 | Stochastic Geometry |
副标题 | Modern Research Fron |
编辑 | David Coupier |
视频video | |
概述 | Contains a historically motivated introduction to Stochastic Geometry.Gives a unique and accessible overview, up to the frontiers of recent research, of the most active fields in Stochastic Geometry.N |
丛书名称 | Lecture Notes in Mathematics |
图书封面 |  |
描述 | .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... . |
出版日期 | Book 2019 |
关键词 | Convex Geometry; Random Graphs; Spatial Statistics; Stochastic Geometry; Stochastic Processes |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-13547-8 |
isbn_softcover | 978-3-030-13546-1 |
isbn_ebook | 978-3-030-13547-8Series ISSN 0075-8434 Series E-ISSN 1617-9692 |
issn_series | 0075-8434 |
copyright | Springer Nature Switzerland AG 2019 |