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Theory and Modern Applications

Table 2 Error and CT for Example 5.2

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