Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 5 Relative errors and CTs for Ex. 5.5

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

Method	Iterations	Relative error	CT
TauOpt	50	2.4121e−06	0.0056
GI	50	8.9274	0.0056
RGI	50	6.8604	0.0063
MGI	50	2.5820	0.0061
AGBI	50	10.0789	0.0072
JGI	50	8.3219	0.0056
AJGI	50	0.5565	0.0058
LSIA 1	50	5.1063	0.0080
LSIA 2	50	5.1708	0.0041
direct	–	0	0.4636

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