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The theory of large random matrices has proved an invaluable tool for the study of systems with disordered interactions in many quite disparate research areas.
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A. Kuczala, Dynamics and Information Processing in Recurrent Networks (University of California, San Diego, 2019)
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2020
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V. A. Susca, P. Vivo, and R. Kühn, Cavity and replica methods for the spectral density of sparse symmetric random matrices, SciPost Physics Lecture Notes , 033 (2021)
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