Table 2.

The elements $E_{1N}^{\widehat{\lambda }}$, $v_{1N}^{\widehat{\lambda }}$, $E_{2N}^{\widehat{\lambda }}$, $v_{2N}^{\widehat{\lambda }}$ and $E_{\infty N}^{\widehat{\lambda }}$ of the vector ${\mathit{g}}_N^{\widehat{\lambda }}$ solving optimization task (13) for regularization parameter $\widehat{\lambda }=2.51\times {10}^{-3}$, 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 five-parameter Maxwell model (26) and $N$ relaxation modulus measurements corrupted by additive independent noises of normal distribution with standard deviation $\sigma =0.001 \left[\mathrm{Pa}\right]$.

$\mathit{N}$	${\mathit{Q}}_{\mathit{N}}\left({\mathit{g}}_{\mathit{N}}^{\widehat{\mathit{\lambda }}}\right) \left[P{a}^2\right]$	$\mathit{Q}\left({\mathit{g}}_{\mathit{N}}^{\widehat{\mathit{\lambda }}}\right) \left[P{a}^2\right]$	$\mathit{E}\mathit{R}\mathit{R} [\mathbf{\%}]$	${\mathit{E}}_{1\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[Pa\right]$	${\mathit{v}}_{1\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[s^{-1}\right]$	${\mathit{E}}_{2\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[Pa\right]$	${\mathit{v}}_{2\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[s^{-1}\right]$	${\mathit{E}}_{\mathit{\infty }\mathit{N}}^{\widehat{\mathit{\lambda }}} \left[Pa\right]$
50	5.0 × 10−6	6.8155 × 10−4	2.07	0.94119	3.57829 × 10−3	1.73538	3.09241 × 10−2	8.412 × 10−3
100	3.6965 × 10−5	5.4636 × 10−5	1.75 × 10−2	1.01745	3.85167 × 10−3	2.02555	4.15854 × 10−2	1.2639 × 10−2
250	4.5229 × 10−5	5.5365 × 10−5	1.06 × 10−2	1.01928	3.85649 × 10−3	2.07666	4.22544 × 10−2	1.2885 × 10−2
500	5.1215 × 10−5	5.0257 × 10−5	3.05 × 10−3	1.02616	3.89451 × 10−3	2.06699	4.28871 × 10−2	1.2885 × 10−2
1000	5.1036 × 10−5	5.0021 × 10−5	5.5 × 10−3	1.02949	3.88211 × 10−3	2.07118	4.33627 × 10−2	1.2897 × 10−2
2500	5.0049 × 10−5	4.9049 × 10−5	1.02 × 10−3	1.02709	3.87612 × 10−3	2.06167	4.30789 × 10−2	1.27968 × 10−2
5000	5.1942 × 10−5	4.8581 × 10−5	1.89 × 10−4	1.02982	3.88972 × 10−3	2.05571	4.31916 × 10−2	1.31245 × 10−2
7500	5.1596 × 10−5	4.8712 × 10−5	1.89 × 10−4	1.03037	3.89006 × 10−3	2.05869	4.32779 × 10−2	1.30726 × 10−2
10,000	5.1276 × 10−5	4.8781 × 10−5	5.62 × 10−4	1.02979	3.88757 × 10−3	2.05899	4.32133 × 10−2	1.29740 × 10−2
20,000	4.8846 × 10−5	4.8995 × 10−5	1.20 × 10−4	1.02589	3.87391 × 10−3	2.05207	4.29263 × 10−2	1.28128 × 10−2
50,000	4.9066 × 10−5	4.8934 × 10−5	7.72 × 10−5	1.02631	3.87501 × 10−3	2.05244	4.29290 × 10−2	1.27937 × 10−2
100,000	4.9971 × 10−5	4.8738 × 10−5	6.42 × 10−6	1.02757	3.88095 × 10−3	2.05430	4.29902 × 10−2	1.29231 × 10−2