A Modified Spectral PRP Conjugate Gradient Projection Method for Solving Large-Scale Monotone Equations and Its Application in Compressed Sensing

Table 4

Average numerical efficiency and robustness of algorithms.

Method	(A-CT, Std-CT)	(A-Ni, Std-Ni)	(A-Nf, Std-CT)
MPPRP-M	(1.1657, 2.5775)	(330.7, 763.88)	(1513.5, 3652.3)
MPPRP-W	(2.5725, 2.9258)	(689.4, 1199.35)	(9205.9, 24233.7)
MSDFPB	(5.4010, 5.6632)	(1244.56, 2638.61)	( 23143.6, 66309.9)
PRP	(5.3178, 5.5599)	(1247.73, 2641.15)	(23583.0, 67602.4)
MPRP	(5.3717, 5.6475)	(1243.36, 2654.63)	(23574.3, 67649.2)
TPRP	(5.5309, 5.7401)	( 1249.63, 2636.94)	(23633.4, 67579.6)
DFPB1	(5.8718, 6.0331)	(1275.9, 2636.85)	(23751.2, 67568.5)
DFPB2	(5.3586, 5.6541)	(1223.93, 2642.11)	(23543.4, 67612.0)
MHS	(6.2549, 6.7712)	(1248.8, 2637.78)	(23719.2, 67539.8)