Table 2.

Results of calculations in case of Hooke–Jeeves algorithm: $\overline{\lambda }$ —reconstructed value of thermal conductivity coefficient; $\overline{\alpha }$—reconstructed value of x-direction derivative order; $\delta$—the relative error of reconstruction; J—the value of objective function; $f_e$—number of evaluation objective function; $SP$—starting point.

Mesh Size	Noise	SP	$\overline{\mathit{\lambda }}$	${\mathit{\delta }}_{\overline{\mathit{\lambda }}}[\%]$	$\overline{\mathit{\alpha }}$	${\mathit{\delta }}_{\overline{\mathit{\alpha }}}[\%]$	J	${\mathit{f}}_{\mathit{e}}$
100 × 100 × 200	0%	(100, 0.2)	240.15	6.57 × 10−2	0.7993	8.33 × 10−2	0.0182	272
		(300, 0.1)						246
		(450, 0.5)						240
		(500, 0.9)						299
	2%	(100, 0.2)	240.38	1.59 × 10−1	0.7971	3.61 × 10−1	724.57	254
		(300, 0.1)						217
		(450, 0.5)						235
		(500, 0.9)						270
	5%	(100, 0.2)	241.44	6.03 × 10−1	0.7757	3.03	4993.85	230
		(300, 0.1)						203
		(450, 0.5)						257
		(500, 0.9)						255
	10%	(100, 0.2)	236.86	1.31	0.7781	2.73	19,424.36	217
		(300, 0.1)						199
		(450, 0.5)						239
		(500, 0.9)						245
160 × 160 × 250	0%	(100, 0.2)	240.06	2.51 × 10−2	0.7997	3.21 × 10−2	0.0036	265
		(300, 0.1)						225
		(450, 0.5)						221
		(500, 0.9)						292
	2%	(100, 0.2)	239.95	1.98 × 10−2	0.8018	2.31 × 10−1	1014.21	257
		(300, 0.1)						231
		(450, 0.5)						233
		(500, 0.9)						284
	5%	(100, 0.2)	240.85	3.55 × 10−1	0.7935	8.11 × 10−1	5393.44	241
		(300, 0.1)						213
		(450, 0.5)						243
		(500, 0.9)						266
	10%	(100, 0.2)	241.44	6.02 × 10−1	0.7817	2.28	23,673.38	255
		(300, 0.1)						227
		(450, 0.5)						273
		(500, 0.9)						280