Table 2 Comparing of numerical solutions/REFs using QLM-FSVLFs technique for \(\gamma =2,\sigma =1\), \(\lambda ,m=1\), \(K=8\), and various \(r\in [0,1]\).

From: Computational analysis of a class of singular nonlinear fractional multi-order heat conduction model of the human head

r

QLM-FSVLFs

ANN6

\(h^{(6)}_{8,1}(r)\)

\({\mathbb {R}}_{8,1}^{(6)}(r)\)

GA

Error

AST

Error

GA-AST

Error

0.0

1.160819819659

\(0.0000_{-0}\)

1.16093104

\(1.4441_{-4}\)

1.16081999

\(7.3822_{-8}\)

1.16081956

\(2.5447_{-7}\)

0.1

1.160297689045

\(5.3263_{-9}\)

1.16040234

\(6.4940_{-4}\)

1.16029785

\(7.6417_{-7}\)

1.16029763

\(2.3650_{-6}\)

0.2

1.158730315169

\(1.4361_{-9}\)

1.15880759

\(4.4537_{-4}\)

1.15873046

\(8.3864_{-7}\)

1.15873036

\(2.5593_{-6}\)

0.3

1.156114745862

\(1.7157_{-10}\)

1.15616949

\(2.2727_{-4}\)

1.15611490

\(7.4055_{-7}\)

1.15611477

\(2.6446_{-7}\)

0.4

1.152446041165

\(5.7457_{-11}\)

1.15249490

\(7.0943_{-4}\)

1.15244622

\(1.0099_{-6}\)

1.15244604

\(1.5218_{-6}\)

0.5

1.147717243642

\(7.6349_{-11}\)

1.14777601

\(6.8283_{-4}\)

1.14771742

\(1.3692_{-6}\)

1.14771726

\(4.0837_{-7}\)

0.6

1.141919336231

\(2.1342_{-11}\)

1.14199556

\(1.7497_{-4}\)

1.14191949

\(4.4069_{-7}\)

1.14191936

\(9.1817_{-7}\)

0.7

1.135041187165

\(1.9892_{-11}\)

1.13513234

\(5.3114_{-4}\)

1.13504133

\(2.0408_{-6}\)

1.13504121

\(4.1913_{-7}\)

0.8

1.127069481243

\(2.6313_{-11}\)

1.12716571

\(9.8891_{-4}\)

1.12706964

\(5.5233_{-7}\)

1.12706950

\(6.4930_{-7}\)

0.9

1.117988636564

\(2.0657_{-11}\)

1.11807882

\(6.5764_{-4}\)

1.11798881

\(2.9974_{-6}\)

1.11798866

\(1.1377_{-7}\)

1.0

1.107780705617

\(1.6943_{-11}\)

1.10786089

\(8.4893_{-6}\)

1.10778087

\(2.5239_{-9}\)

1.10778073

\(4.4627_{-10}\)