A New Algorithm for Solving Large-Scale Generalized Eigenvalue Problem Based on Projection Methods

Table 4

The minimum relative residual of Algorithms 1–4 in Example 4.

N.A, N.B	m = 16, N = 32		M = 18, N = 32 m = 16		M = 32, m = 4, l = 4		M = 4, L = 4, N = 32
					Threshold =
	SS	NE	CIRR	NE	BSS	NE	BSSRR	NE
n = 200	0.7389	16	0.0035	16	0.0315	16	2.4592E − 015	16
n = 400	0.7350	16	0.0057	16	0.0337	16	4.2091E − 15	16
n = 600	0.7370	16	0.0049	16	0.0349	16	5.2251E − 15	16
n = 800	0.7389	16	0.0068	16	0.0323	16	6.0494E − 15	16
n = 1000	0.7240	16	0.0069	16	0.0329	16	6.4196E − 15	16
n = 1500	0.7393	16	0.0065	16	0.0384	16	7.9371E − 15	16