A Simple Sufficient Descent Method for Unconstrained Optimization

Table 2

Test results for CG_DESCENT.

Problem	Dim	Iter	Nf	Ng	Time	Fv	Norm-2
ARGLINA	200	1	3	2	0.01	0.20000𝐸+03	0.21133𝐸−06
ARWHEAD	5000	9	19	12	0.02	0.00000𝐸+00	0.83931𝐸−06
BROWNAL	200	4	15	13	0.01	0.14731𝐸−08	0.11790𝐸−05
BROYDN7D	5000	1444	2885	1453	5.13	0.19785𝐸+04	0.68854𝐸−05
BRYBND	5000	31	64	34	0.10	0.14292𝐸−10	0.65055𝐸−05
DIXMAANA	3000	8	17	9	0.01	0.10000𝐸+01	0.15586𝐸−05
DIXMAANB	3000	9	19	10	0.00	0.10000𝐸+01	0.35546𝐸−06
DIXMAANC	3000	10	21	11	0.01	0.10000𝐸+01	0.70236𝐸−06
DIXMAAND	3000	11	23	12	0.01	0.10000𝐸+01	0.32593𝐸−05
DQDRTIC	5000	7	15	8	0.02	0.41826𝐸−14	0.18957𝐸−06
DQRTIC	5000	32	65	33	0.02	0.28560𝐸−04	0.30250𝐸−05
EDENSCH	2000	29	56	33	0.02	0.12003𝐸+05	0.74432𝐸−05
ENGVAL1	5000	23	45	32	0.05	0.55487𝐸+04	0.53164𝐸−05
FLETCBV2	5000	0	1	1	0.01	−0.50027𝐸+00	0.79960𝐸−07
MANCINO	100	11	23	12	0.30	0.20215𝐸−17	0.97074𝐸−06
QUARTC	5000	32	65	33	0.02	0.28560𝐸−04	0.30250𝐸−05
SCHMVETT	5000	35	63	46	0.19	−0.14994𝐸+05	0.90275𝐸−05
SENSORS	100	23	55	40	0.19	−0.21085𝐸+04	0.29929𝐸−05
SPMSRTLS	4999	186	379	195	0.51	0.19502𝐸−08	0.82452𝐸−05
TOINTGSS	5000	3	7	4	0.01	0.10002𝐸+02	0.60471𝐸−05
VARDIM	200	28	57	29	0.00	0.27052𝐸−22	0.20805𝐸−08
VAREIGVL	50	52	142	90	0.00	0.40508𝐸−10	0.71079𝐸−05
EG2	1000	3	7	4	0.00	−0.99895𝐸+03	0.81318𝐸−05
MOREBV	5000	32	65	34	0.04	0.10103𝐸−08	0.89736𝐸−05
TOINTGOR	50	107	206	121	0.00	0.13739𝐸+04	0.88894𝐸−05
TOINTQOR	50	28	55	31	0.00	0.11755𝐸+04	0.49970𝐸−05