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02627nam a22005175i 4500 |
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978-3-540-74798-7 |
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DE-He213 |
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20151123195036.0 |
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100301s2008 gw | s |||| 0|eng d |
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|a 9783540747987
|9 978-3-540-74798-7
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|a 10.1007/978-3-540-74798-7
|2 doi
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|d GrThAP
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|a QA273.A1-274.9
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|a QA274-274.9
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|a MAT029000
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|a 519.2
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|a Evans, Steven Neil.
|e author.
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|a Probability and Real Trees
|h [electronic resource] :
|b École d'Été de Probabilités de Saint-Flour XXXV - 2005 /
|c by Steven Neil Evans.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2008.
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|a XI, 201 p.
|b online resource.
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|a text
|b txt
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|a text file
|b PDF
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|a Lecture Notes in Mathematics,
|x 0075-8434 ;
|v 1920
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|a Around the Continuum Random Tree -- R-Trees and 0-Hyperbolic Spaces -- Hausdorff and Gromov–Hausdorff Distance -- Root Growth with Re-Grafting -- The Wild Chain and other Bipartite Chains -- Diffusions on a R-Tree without Leaves: Snakes and Spiders -- R–Trees from Coalescing Particle Systems -- Subtree Prune and Re-Graft.
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|a Random trees and tree-valued stochastic processes are of particular importance in combinatorics, computer science, phylogenetics, and mathematical population genetics. Using the framework of abstract "tree-like" metric spaces (so-called real trees) and ideas from metric geometry such as the Gromov-Hausdorff distance, Evans and his collaborators have recently pioneered an approach to studying the asymptotic behaviour of such objects when the number of vertices goes to infinity. These notes survey the relevant mathematical background and present some selected applications of the theory.
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|a Mathematics.
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|a Geometry.
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|a Probabilities.
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|a Combinatorics.
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|a Mathematics.
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|a Probability Theory and Stochastic Processes.
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|a Combinatorics.
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|a Geometry.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783540747970
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|a Lecture Notes in Mathematics,
|x 0075-8434 ;
|v 1920
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|u http://dx.doi.org/10.1007/978-3-540-74798-7
|z Full Text via HEAL-Link
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|a ZDB-2-SMA
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|a ZDB-2-LNM
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|a Mathematics and Statistics (Springer-11649)
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