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Random Graphs, Phase Transitions, and the Gaussian Free Field - PIMS-CRM Summer School in Probability, Vancouver, Canada, June 5-30, 2017 (Hardcover, 1st ed. 2020) Loot Price: R3,430
Discovery Miles 34 300
You Save: R201 (6%)
Random Graphs, Phase Transitions, and the Gaussian Free Field - PIMS-CRM Summer School in Probability, Vancouver, Canada, June...

Random Graphs, Phase Transitions, and the Gaussian Free Field - PIMS-CRM Summer School in Probability, Vancouver, Canada, June 5-30, 2017 (Hardcover, 1st ed. 2020)

Martin T. Barlow, Gordon Slade

Series: Springer Proceedings in Mathematics & Statistics, 304

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List price R3,631 Loot Price R3,430 Discovery Miles 34 300 | Repayment Terms: R321 pm x 12* You Save R201 (6%)

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The 2017 PIMS-CRM Summer School in Probability was held at the Pacific Institute for the Mathematical Sciences (PIMS) at the University of British Columbia in Vancouver, Canada, during June 5-30, 2017. It had 125 participants from 20 different countries, and featured two main courses, three mini-courses, and twenty-nine lectures. The lecture notes contained in this volume provide introductory accounts of three of the most active and fascinating areas of research in modern probability theory, especially designed for graduate students entering research: Scaling limits of random trees and random graphs (Christina Goldschmidt) Lectures on the Ising and Potts models on the hypercubic lattice (Hugo Duminil-Copin) Extrema of the two-dimensional discrete Gaussian free field (Marek Biskup) Each of these contributions provides a thorough introduction that will be of value to beginners and experts alike.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Proceedings in Mathematics & Statistics, 304
Release date: December 2019
First published: 2020
Editors: Martin T. Barlow • Gordon Slade
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 407
Edition: 1st ed. 2020
ISBN-13: 978-3-03-032010-2
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Combinatorics & graph theory
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
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LSN: 3-03-032010-3
Barcode: 9783030320102

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