Theory and Modern Applications
From: Gradient-descent iterative algorithm for solving a class of linear matrix equations with applications to heat and Poisson equations
Method
Error
CT
TauOpt
0.0891
0.0568
GI
27.9847
0.0341
RGI ω = 0.2
32.9285
0.0300
RGI ω = 0.4
16.5017
0.0288
RGI ω = 0.7
17.6606
0.0261
MGI
35.1852
0.0415
JGI
23.1308
0.0292
AJGI
36.3178
0.0423
direct
71.2048