| 000 | 01913 a2200265 4500 | ||
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| 003 | NISER | ||
| 005 | 20260113121058.0 | ||
| 008 | 260113b |||||||| |||| 00| 0 hin d | ||
| 020 |
_a9781107160156 _qHardback |
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| 040 |
_aNISER LIBRARY _beng _cNISER LIBRARY |
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| 082 | 0 | 4 |
_a519.21 _bLYO-P |
| 100 | 1 | _aLyons, Russell | |
| 245 | 1 | 0 | _aProbability on trees and networks |
| 260 |
_aNew York, NY : _bCambridge University Press, _c2016. |
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| 300 |
_axv, 699 page : _billustrations (some color) ; _c26 cm. |
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| 490 |
_aCambridge series in statistical and probabilistic mathematics ; _v42 |
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| 504 | _aIncludes bibliographical references (pages (648-686) and index. | ||
| 520 | _aStarting around the late 1950s, several research communities began relating the geometry of graphs to stochastic processes on these graphs. This book, twenty years in the making, ties together research in the field, encompassing work on percolation, isoperimetric inequalities, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete proofs and more than 850 exercises. Many recent developments, in which the authors have played a leading role, are discussed, including percolation on trees and Cayley graphs, uniform spanning forests, the mass-transport technique, and connections on random walks on graphs to embedding in Hilbert space. This state-of-the-art account of probability on networks will be indispensable for graduate students and researchers alike. | ||
| 650 | 0 | _aStochastic processes | |
| 650 | 0 | _aTrees (Graph theory) | |
| 700 | 1 | _aPeres, Yuval | |
| 856 | 4 | 1 |
_3Table of contents _uhttps://assets.cambridge.org/97811071/60156/frontmatter/9781107160156_frontmatter.pdf |
| 856 | 4 | 1 |
_3Reviews _uhttps://www.goodreads.com/book/show/57573330-probability-on-trees-and-networks?ref=nav_sb_ss_1_13#CommunityReviews |
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_cBK _2udc |
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| 999 |
_c36746 _d36746 |
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