ConceptPythonAdvanced Hamiltonian Monte Carlo: why gradients beat a random walk in 100 dimensions s_rw = 2.38 / math.sqrt(np.trace(Sigma_inv))
ToolPythonIntermediate Parallel runs with concurrent.futures: a parameter sweep on every core return np.trace(a @ a @ a @ a)