KaTeX v0.13.13 test.
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\[\begin{equation} f(x) = 10 \end{equation}\]\begin{equation} f(x) = 10 \end{equation}
\begin{equation} f(x) = 11 \end{equation}
$\mathcal{H}$.
# Import modules, define parameters.
import numpy as np
from numpy.random import default_rng
p = 5
n = 1000
M = 10000
mean = np.zeros(p)
cov = np.eye(p)
# Compute an (M, p, p) array S of M independent p x p sample covariance matrices.
seed = 42
rng = default_rng(seed)
X = rng.standard_normal(size=(M, n, p))
S = (1 / n) * X.swapaxes(2, 1) @ X
def plot_figure(S):
return np.linalg.eigvals(S)
This is inline code:
def plot_figure(S)