Some work on random matrix theory and random graphs.

• wigner.py: shows the convergence of large random matrices eigenvalues distribution to Wigner semi-circle law : also an histogram of spacings between eigenvalues of 2x2 matrices (Wigner surmise)
• wishart.py: shows the convergence of dispersion matrices eigenvalues to the Marcenko-Pastur distribution.
• random-graphs.py : Random graph models (Erdös-Renyi, Watts-Strogatz, Barabasi-Albert, k-regular).
• spike.py: Marcenko-Pastur histograms and bulk/outlier eigenvalues for some dimensions (spike model).
• kesten-mckay.py: Spectrum of $k$-regular graphs, convergence of Kesten-McKay statistics to Wigner, Alon-Boppan bound for $\lambda_2$.