Table 3.

The elements $E_{1N}^{\widehat{\lambda }}$, $v_{1N}^{\widehat{\lambda }}$, $E_{2N}^{\widehat{\lambda }}$, $v_{2N}^{\widehat{\lambda }}$,$E_{3N}^{\widehat{\lambda }}$, $v_{3N}^{\widehat{\lambda }}$ and $E_{\infty N}^{\widehat{\lambda }}$ of the vector ${\mathit{g}}_N^{\widehat{\lambda }}$ solving optimization task (13) for regularization parameter $\widehat{\lambda }=1.27\times {10}^{-3}$, the mean-square identification indices $Q_N\left({\mathit{g}}_N^{\widehat{\lambda }}\right)$, Equation (8), the integral quadratic indices $Q\left({\mathit{g}}_N^{\widehat{\lambda }}\right)$, Equation (5), and the relative square errors $ERR$ (39) of the measurement-independent parameters ${\mathit{g}}^{\ast \lambda }$, approximation for seven-parameter Maxwell model (26) and $N$ relaxation modulus measurements corrupted by additive independent noises of normal distribution with standard deviation $\sigma =0.001 \left[\mathrm{Pa}\right]$.

$\mathit{N}$	${\mathit{Q}}_{\mathit{N}}\left({\mathit{g}}_{\mathit{N}}^{\widehat{\mathit{\lambda }}}\right) \left[P{a}^2\right]$	$\mathit{Q}\left({\mathit{g}}_{\mathit{N}}^{\widehat{\mathit{\lambda }}}\right) \left[P{a}^2\right]$	$\mathit{E}\mathit{R}\mathit{R} [\mathbf{\%}]$	${\mathit{E}}_{1\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[Pa\right]$	${\mathit{v}}_{1\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[s^{-1}\right]$	${\mathit{E}}_{2\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[Pa\right]$	${\mathit{v}}_{2\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[s^{-1}\right]$	${\mathit{E}}_{3\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[Pa\right]$	${\mathit{v}}_{3\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[s^{-1}\right]$	${\mathit{E}}_{\mathit{\infty }\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[Pa\right]$
50	1.6 × 10−5	1.08569 × 10−3	3.66 × 10−2	0.91380	3.496 × 10−3	0.83143	2.7811 × 10−2	0.82996	2.7811 × 10−2	7.603 × 10−3
100	2.25694 × 10−5	4.38001 × 10−5	7.83 × 10−4	0.96972	3.695 × 10−3	1.0064	2.832 × 10−2	1.05894	5.5844 × 10−2	1.0765 × 10−2
250	1.39206 × 10−5	1.13403 × 10−5	1.53 × 10−5	0.96278	3.675 × 10−3	1.04195	2.7757 × 10−2	1.10192	6.3315 × 10−2	1.0623 × 10−2
500	1.62056 × 10−5	1.96741 × 10−5	2.63 × 10−5	0.95898	3.665 × 10−3	1.03016	2.7044 × 10−2	1.09224	6.3563 × 10−2	1.045 × 10−2
1000	1.23718 × 10−5	9.7523 × 10−6	5.82 × 10−5	0.96012	3.664 × 10−3	1.04663	2.7517 × 10−2	1.10631	6.428 × 10−2	1.0313 × 10−2
2500	1.33721 × 10−5	1.09919 × 10−5	2.17 × 10−5	0.96250	3.67 × 10−3	1.04209	2.7724 × 10−2	1.10388	6.3365 × 10−2	1.0324 × 10−2
5000	1.36971 × 10−5	1.15176 × 10−5	1.82 × 10−5	0.96271	3.673 × 10−3	1.03686	2.7685 × 10−2	1.10569	6.3398 × 10−2	1.0428 × 10−2
7500	1.35309 × 10−5	1.12970 × 10−5	1.95 × 10−5	0.96231	3.67 × 10−3	1.03806	2.7636 × 10−2	1.10573	6.3676 × 10−2	1.0362 × 10−2
10,000	1.35952 × 10−5	1.14719 × 10−5	1.29 × 10−5	0.96236	3.67 × 10−3	1.04048	2.7686 × 10−2	1.10274	6.3591 × 10−2	1.033 × 10−2
20,000	1.58069 × 10−5	1.60772 × 10−5	1.19 × 10−5	0.963075	3.672 × 10−3	1.03044	2.7711 × 10−2	1.09572	6.2326 × 10−2	1.0375 × 10−2
50,000	1.53858 × 10−5	1.50425 × 10−5	2.82 × 10−6	0.96263	3.671 × 10−3	1.03389	2.7724 × 10−2	1.09609	6.2494 × 10−2	1.0336 × 10−2
100,000	1.45691 × 10−5	1.33615 × 10−5	2.62 × 10−7	0.96311	3.674 × 10−3	1.03655	2.7767 × 10−2	1.09878	6.2832 × 10−2	1.0407 × 10−2