Grad Combinatorics Texts: Cameron & Van Lint-Wilson

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For graduate-level introductory combinatorics, texts by Cameron and Van Lint-Wilson are recommended for their solid content. Additionally, Diestel's "Graph Theory" is suggested as a valuable resource. The discussion also highlights the importance of understanding mathematical physics techniques for solving two-dimensional lattice models, specifically mentioning the Yang-Baxter equation and Fermionic methods involving the Pfaffian. A resource for further reading is the book "Exactly Solved Models in Statistical Mechanics" by Baxter, which is available for free download, although it is noted that Baxter does not refer to the Yang-Baxter equation by that name in his work.
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What's a good graduate level introductory combinatorics text. I've been looking at Cameron and Van Lint-Wilson, they seem like sound texts. Do you guys have any recommendations?
 
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Diestel - Graph Theory
 
You also need to study mathematical physics techniques used to solve 2 dimensional lattice models, like the Yang-Baxter equation, Fermionic methods using the Pfaffian, etc. You can dowload the book: "Exactly Solved Models in Statistical Mechanics" by Baxter free of charge from this site:


http://tpsrv.anu.edu.au/Members/baxter/book

Note that Baxter doesn't call his own equation the "Yang-Baxter" equation in his own book.
 
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I've gone through the Standard turbulence textbooks such as Pope's Turbulent Flows and Wilcox' Turbulent modelling for CFD which mostly Covers RANS and the closure models. I want to jump more into DNS but most of the work i've been able to come across is too "practical" and not much explanation of the theory behind it. I wonder if there is a book that takes a theoretical approach to Turbulence starting from the full Navier Stokes Equations and developing from there, instead of jumping from...

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