Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 4 Relative errors and CTs for Ex. 5.4

From: Approximated least-squares solutions of a generalized Sylvester-transpose matrix equation via gradient-descent iterative algorithm

Method	Iterations	Relative error	CT
TauOpt	100	0.1457	0.0681
GI	100	183.4122	0.0731
RGI	100	33.0116	0.0661
MGI	100	115.7206	0.0640
AGBI	100	57.8981	0.0839
JGI	100	515.9767	0.0385
AJGI	100	469.0704	0.0547
direct	–	0	5.4606e+03

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