Random and Integrable Models in Mathematics and Physics
Pierre van Moerbeke

TL;DR
This paper provides an elementary overview of random matrices, covering combinatorial models and key questions in random matrix theory such as GUE, aimed at introducing the field's fundamental concepts.
Contribution
It offers a simplified, lecture-based introduction to random matrices, emphasizing combinatorial models and core problems in the field.
Findings
Introduction to combinatorial models of random matrices
Discussion of random matrix questions like GUE
Foundational overview for beginners
Abstract
This set of Montreal lectures is an elementary and sketchy introduction to the general field of random matrices. The first half is devoted to combinatorial models, whereas the second half deals with random matrix questions(GUE, etc...).
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Taxonomy
TopicsNeural Networks and Applications
