Table 9.

Fitting results in terms of fitted scaling parameters and measures of goodness of fit for the two example cases executed using the reduced HO constitutive law with parameters from literature [39] (no init) as initial guess and with an MFF initialization step (init). Outcomes of the CFF method, optimizing one, two, or three parameters, n_opt = {1, 2, 3}, are listed with number of iterations (it.) of the Nelder–Mead algorithm.

		Case 06-CoA						Case 03-AS
			Fitted Parameters			Goodness of Fit			Fitted Parameters			Goodness of Fit
Mode	n opt	it.	a scale	$[b_{\text{scale}}^{\text{iso}}]$	$[b_{\text{scale}}^{\text{aniso}}]$	r V0,rel	r An,rel	it.	a scale	$[b_{\text{scale}}^{\text{iso}}]$	$[b_{\text{scale}}^{\text{aniso}}]$	r V0,rel	r An,rel
						$[\%V_{\text{ed}}^{\text{dat}}]$	[% Aklotz]					$[\%V_{\text{ed}}^{\text{dat}}]$	[% Aklotz]
init	1	17	0.3475	0.5000	0.5000	0.027	11.13	9	0.2982	0.5000	0.5000	0.024	14.72
	2	46	0.2365	0.6493	0.6493	0.002	8.30	73	0.2588	0.5252	0.5252	0.001	15. 43
	3	94	0.2371	0.6827	0.6274	0.001	8.20	78	0.2571	0.5524	0.5144	0.002	15.59
no init	1	20	0.3477	0.5000	0.5000	0.025	11.15	22	0.2969	0.5000	0.5000	0.016	14.72
	2	41	0.5427	0.3255	0.3255	0.009	28.13	80	0.2587	0.5252	0.5252	0.000	15. 40
	3	130	0.2382	0.7321	0.5948	0.008	8.43	167	0.2588	0.5979	0.4881	0.001	15.03