def Q(kappa=kappa, alpha=alpha): out = operators.mod_frac_laplacian_precision(Ctilde, G, kappa, alpha, cholmod) return out
def Q(kappa=kappa, alpha=alpha, amp=amp, Ctilde=Ctilde, G=G, backend=backend): "The precision matrix." out = operators.mod_frac_laplacian_precision(Ctilde, G, kappa, alpha, backend)/np.asscalar(amp)**2 return out
def Q(kappa=kappa, alpha=alpha, amp=amp): out = operators.mod_frac_laplacian_precision( Ctilde, G, kappa, alpha, cholmod) / np.asscalar(amp)**2 return out
def Q(kappa=kappa, alpha=alpha, amp=amp): out = operators.mod_frac_laplacian_precision(Ctilde, G, kappa, alpha, cholmod)/np.asscalar(amp)**2 return out