Research Article

Sufficient Descent Polak-Ribière-Polyak Conjugate Gradient Algorithm for Large-Scale Box-Constrained Optimization

Table 3

Performance of L-BFGS-B.

Problem Dim Nf Ng Time Fv Pgnorm1

SINEALI 1000 44 44 0.03
BDEXP 1000 18 18 0.01
EXPLIN 120 40 40 0.00
EXPLIN2 120 43 43 0.00
EXPQUAD 120 8 8 0.00
MCCORMCK 5000 10150 10150 40.29
PROBPENL 500 4 4 0.00

QRTQUAD 120 13349 13349 0.63
S368 100 21 21 0.07

HADAMALS 1024 20 20 0.04

SCOND1LS 5002 25 25 0.15
CHEBYQAD 50 21 21 0.15
HS110 200 21 21 0.02
LINVERSE 1999 195 195 0.32
NONSCOMP 5000 42 42 0.09
QR3DLS 610 11054 11054 10.24

DECONVB 61 291 291 0.02

QUDLIN 5000 314 314 0.16
BIGGSB1 5000 4452 4452 8.36
BQPGABIM 50 41 41 0.00
BQPGASIM 50 41 41 0.00
BQPGAUSS 2003 9873 9873 11.62
CHENHARK 5000 10323 10323 21.54
CVXBQP1 10000 6798 6798 30.27
HARKERP2 100 11329 11329 1.26
JNLBRNG1 10000 333 333 2.99
JNLBRNG2 10000 998 998 9.02
JNLBRNGA 10000 440 440 3.60
JNLBRNGB 10000 6375 6375 52.41
NCVXBQP1 10000 21 21 0.03
NCVXBQP2 10000 21 21 0.03
NCVXBQP3 10000 21 21 0.02
NOBNDTOR 5476 658 658 2.86
OBSTCLAE 10000 2780 2780 23.21
OBSTCLAL 10000 2274 2274 19.01
OBSTCLBL 10000 4281 4281 35.78
OBSTCLBM 10000 3998 3998 33.56
OBSTCLBU 10000 1551 1551 13.03
PENTDI 1000 14 14 0.01

TORSION1 10000 811 811 6.80
TORSION2 10000 1644 1644 13.76
TORSION3 10000 712 712 5.98
TORSION4 10000 2079 2079 17.47
TORSION5 10000 744 744 6.20
TORSION6 10000 730 730 6.07
TORSIONA 10000 831 831 7.65
TORSIONB 10000 1049 1049 9.61
TORSIONC 10000 1165 1165 10.65
TORSIOND 10000 980 980 9.01
TORSIONE 10000 704 704 6.48
TORSIONF 10000 646 646 5.91

ODNAMUR 11130 10692 10692 57.16

GRIDGENA 6218 1145 1145 6.92

NOBNDTOR 5746