*** new lower bound: 1.679189 8 12.669593
*** new lower bound: 3.515934 9 12.669593
*** new lower bound: 4.285731 10 11.916238
*** new lower bound: 4.395605 11 *** 12 *** 13 *** 14 *** 15 *** 16 *** 17 *** 18 *** 19 *** 20 *** 21 *** 22 23 *** 24 *** 25 *** 11.916238
new lower bound: 9.631247
new lower bound: 9.178411
new lower bound: 8.769358
new lower bound: 8.502939
new lower bound: 8.326950
new lower bound: 8.238591
new lower bound: 8.176522
new lower bound: 8.161872
new lower bound: 8.161872
new lower bound: 8.147783
new lower bound: 8.114291 8.106330
new lower bound: 8.104751
new lower bound: 8.104153
new lower bound: 5.063925 5.242941 5.879022 6.390317 6.790746 7.100688 7.338510 7.520225 7.658027 7.790606 8.066778 8.074037 8.080386 8.085205
26 8.103217
*** new lower bound: 8.089119 27 8.102513
*** new lower bound: 8.091864 28 8.101985
*** new lower bound: 8.093950 29 8.101589
*** new lower bound: 8.095533 30 8.101291
*** new lower bound: 8.096731 31 8.101177
*** new lower bound: 8.097637 32 8.100996
*** new lower bound: 8.098334 33 8.100859
*** new lower bound: 8.098850 34 8.100806
*** new lower bound: 8.099240 35 8.100721
*** new lower bound: 8.099951
Result: feasible solution of required accuracy best objective value: 8.100721 guaranteed relative accuracy: 9.50e-05 f-radius saturation: 0.000% of R = 1.00e+09 copt =
8.1007 xopt =
0.1639 0.0030
1.3573 0.3663 1.0277 18.7011 0.0038 -0.0173 0.0812 0.0001 -0.0007 0.0061 6.1002 -0.0135 0.7368 3.2584 -0.1709 0.0646 -0.5553 -2.7823 0.0001 -0.0000 PP =
0.1639 0.0030 QQ =
0.3663 1.0277 RR =
0.0030 1.3573 1.0277 18.7011 0.0038 -0.0173 -0.0173 0.0812 SS =
0.0001 -0.0007 -0.0007 0.0061 MM =
6.1002 -0.0135 -0.0135 0.7368 NN =
3.2584 -0.1709 -0.1709 0.0646 KK =
-0.5553 -2.7823 FF =
1.0e-04 *
0.6596 -0.0837
锥补线性化问题和应用线性矩阵不等式解决控制问题
