gs_lmilab.m

　gs.m において，SDP ソルバを LMILAB に変更する．

実行結果 

>> gs_lmilab

 Solver for linear objective minimization under LMI constraints 

 Iterations   :    Best objective value so far 
 
     1
     2
     3

　　＜　省　　略　＞

    67
    68
    69
    70                 221.029032
    71                 214.512696
    72                 211.107781
    73                 205.876085
    74                 205.876085
    75                 200.891323
    76                 200.891323
    77                 197.117198
***                 new lower bound:   184.871453
    78                 195.480751
***                 new lower bound:   191.819254
    79                 195.480751
    80                 194.316702
***                 new lower bound:   193.383067
    81                 194.316702
    82                 193.967542
***                 new lower bound:   193.783273

 Result:  feasible solution of required accuracy
          best objective value:   193.967542
          guaranteed relative accuracy: 9.50e-004
          f-radius saturation:  0.000% of R = 1.00e+009 
 
sol = 
    yalmiptime: 1.1460
    solvertime: 8.9140
          info: 'No problems detected (LMILAB)'
       problem: 0
        dimacs: [NaN NaN 0 0 NaN NaN]
gamma_opt =
  193.9675
X_0_opt =
    0.9754   -0.0764   -3.4416    1.2225
   -0.0764    4.9036    0.2337  -30.7554
   -3.4416    0.2337   27.7541  -12.2134
    1.2225  -30.7554  -12.2134  198.0080
X_1_opt =
   -0.1512    0.1671    1.4506   -1.7173
    0.1671   -1.8036   -0.3814   11.2772
    1.4506   -0.3814  -20.8101   15.4929
   -1.7173   11.2772   15.4929  -78.3864
F_0_opt =
   -1.3300    0.2697    6.4509   -3.1575
F_1_opt =
    0.5813   -0.1506   -8.3393    6.1938
pres =
  7.4949e-003
  6.1358e-004
  8.4241e-006
  1.2732e-004
  1.3736e-005
  3.2114e-005
  3.9920e-005
  8.0009e-005
  2.0899e-005
  5.6262e-006
  2.3393e-003
  3.6674e-008
前のページ (kawata_ebihara.zip) に戻る