 Demonstration Program Results
   test01           
 the eigenvalues to be allocated are:
  0.9544  +  i*  0.8513
  0.9544  -  i*  0.8513
  0.2893  +  i*  0.5374
  0.2893  -  i*  0.5374
  0.5144  +  i*  0.1034
  0.5144  -  i*  0.1034
  0.4140
  0.5767
  0.8766
  0.4400
  0.7298

 tolerance used =   0.98703268E-15
 eigenvalue stored at EIGS(N) on entry 
        now stored at EIGS( 3)
 the eigenvalues of the closed loop are:
  0.9544  +  i*  0.8513
  0.9544  -  i*  0.8513
  0.2893  +  i*  0.5374
  0.2893  -  i*  0.5374
  0.7298
  0.8766
  0.5144  +  i*  0.1034
  0.5144  -  i*  0.1034
  0.5767
  0.4140
  0.4400

 computed gain matrix F:
    1.2366   -0.0621   -1.1794    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
    0.6030   -0.1087    1.2359    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
   -0.1042   -0.8806   -0.3792    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
   -0.1902    0.6348   -0.5265    0.1831   -0.4240    0.1296   -0.3876    0.2118    0.1149    0.0152    0.0374
    0.5347   -0.3346    0.1998   -0.0448    1.3815   -0.1915    1.2044   -0.1380   -0.4250    0.0377   -0.0325
    0.1073   -0.3782    0.1560    0.0393    0.3933   -0.8726    0.6780   -0.6574   -0.6013   -0.0181   -0.1687
    0.1528   -0.0455   -0.4707    0.0090    0.5769    0.3959   -0.2292    0.1545    0.2531   -0.2305   -0.6368
 Demonstration Program Results
   test02           
 the eigenvalues to be allocated are:
  0.1312  +  i*  0.8856
  0.1312  -  i*  0.8856
  0.0922  +  i*  0.1622
  0.0922  -  i*  0.1622
  0.0711  +  i*  0.3653
  0.0711  -  i*  0.3653
  0.2531
  0.1351
  0.7831
  0.4553
  0.3495

 tolerance used =   0.10610132E-14
 eigenvalue stored at EIGS(N) on entry 
        now stored at EIGS( 5)
 the eigenvalues of the closed loop are:
  0.1312  +  i*  0.8857
  0.1312  -  i*  0.8857
  0.7832
  0.0711  +  i*  0.3653
  0.0711  -  i*  0.3653
  0.4553
  0.0922  +  i*  0.1622
  0.0922  -  i*  0.1622
  0.3495
  0.2531
  0.1351

 computed gain matrix F:
    0.1001    1.2141   -0.0966    0.0711    5.0344    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
   -0.4456    0.3309   -0.9465   -0.4678    0.0858   -1.3265    0.5564   -0.6209   -0.0797   -0.2924    0.2009
   -1.1914   -1.3564    2.8527    1.5547    1.6460    2.1313   -1.7744    1.2853   -0.1253    0.7265   -0.4825
    0.6008   -0.3938   -0.2453   -1.5008   -0.2922   -0.2535    0.2332   -0.0025    0.0174    0.0085   -0.2005
 Demonstration Program Results
   test03           
 the eigenvalues to be allocated are:
  0.7298  +  i*  0.8693
  0.7298  -  i*  0.8693
  0.7156  +  i*  0.8007
  0.7156  -  i*  0.8007
  0.7065  +  i*  0.7417
  0.7065  -  i*  0.7417
  0.0191
  0.8860
  0.5250
  0.4633
  0.0652
  0.7134
  0.4889

 tolerance used =   0.11399781E-14
 the eigenvalues of the closed loop are:
  0.7298  +  i*  0.8693
  0.7298  -  i*  0.8693
  0.7156  +  i*  0.8007
  0.7156  -  i*  0.8007
  0.7065  +  i*  0.7417
  0.7065  -  i*  0.7417
  0.0191
  0.8860
  0.0652
  0.7134
  0.4633
  0.4889
  0.5250

 computed gain matrix F:
    3.8000    2.6996    1.8115  -12.1405   -1.2960  -12.3325   35.2843  -12.7917  -12.3098    6.7445  -46.2238    0.0000    0.0000
   -0.1299    2.2954    1.3242   -2.0195   -1.3181   -7.1153   12.0253   -6.3949   -5.2201    0.1470  -22.7628    0.0000    0.0000
    0.1054    0.7980   -0.7706    0.1107    0.1728    0.7289   -0.1496    0.0750    0.0050    0.5155   -0.1578    0.0200   -0.1811
 Demonstration Program Results
   test04           
 the eigenvalues to be allocated are:
  0.1236  +  i*  0.9733
  0.1236  -  i*  0.9733
  0.0296
  0.0804
  0.4942
  0.7694
  0.9340
  0.2502
  0.3597
  0.7691
  0.5000
  0.7493
  0.6719
  0.6817
  0.7568
  0.0364
  0.2306
  0.2217
  0.5626

 tolerance used =   0.19538777E-14
 eigenvalue stored at EIGS(N) on entry 
        now stored at EIGS( 3)
 the eigenvalues of the closed loop are:
  0.1236  +  i*  0.9733
  0.1236  -  i*  0.9733
  0.9340
  0.0296
  0.0804
  0.3597
  0.4942
  0.5000
  0.6817
  0.7694
  0.6719
  0.7691
  0.5626
  0.7493
  0.2502
  0.0364
  0.7568
  0.2217
  0.2306

 computed gain matrix F:
    0.6844   -0.7049   -0.8840    0.0815    0.4088    0.2177   -0.9352    0.6891    0.3737   -0.0426    0.1916    0.1751   -0.5344    0.3431   -0.3536   -0.0610    0.1607    0.0000    0.0000
    0.5377   -1.2897   -0.3693   -0.0620   -1.1130    0.6192   -0.8361   -1.4656    1.1668   -1.0074   -0.5434    0.1141   -0.8746    0.4087   -1.5800   -0.3427   -0.2769    0.0000    0.0000
   -0.3414   -0.1132   -1.1144   -1.0554   -1.0811    0.8136    0.9407   -0.4220    1.7581    0.6850    0.9596    0.4047    0.0269   -1.2368   -1.1616    0.8826   -0.0732    0.0000    0.0000
   -0.2265   -0.0043   -0.2213   -1.1224    0.3588   -0.2094    0.4005    0.2942    0.3240    0.0002   -0.2662   -0.2661    0.6789    0.0902    0.2643    0.0241   -0.1756    0.0000    0.0000
    0.2899   -0.0107    0.0301    0.1390    0.4738   -0.7477    0.6664    0.2663    0.5584    0.8707   -0.7539   -0.1938    0.2546    0.1765    0.4003    0.2046   -0.0310    0.0000    0.0000
    0.1126   -0.0106    0.1036    0.4032    0.6697   -0.8356    0.0606    0.0181   -0.2327    0.3014   -0.2265    0.1679   -0.1145    0.0397    0.0835    0.0852   -0.1335   -0.0229    0.1828
 Demonstration Program Results
   test05           
 the eigenvalues to be allocated are:
  0.4679  +  i*  0.2872
  0.4679  -  i*  0.2872
  0.1783
  0.1537
  0.5716
  0.8024
  0.0331
  0.5344

 tolerance used =   0.69008470E-15
 the eigenvalues of the closed loop are:
  0.0331
  0.4679  +  i*  0.2872
  0.4679  -  i*  0.2872
  0.1537
  0.1783
  0.5344
  0.5717
  0.8024

 computed gain matrix F:
   -0.3808   -0.3672   -0.9907   -2.1210    3.0556   -1.1266   -0.2946   -1.3675
    0.0657    1.5508   -0.9710   -0.4255    8.9037   -3.4898    0.0508    0.2359
    0.3084    0.3142    0.3307    1.2718    0.4935   -1.1860    0.2385    1.1073
   -0.8329   -0.1707   -0.6103    0.2794   -0.0432    0.0798   -0.4747   -0.6511
 Demonstration Program Results
   test06           
 the eigenvalues to be allocated are:
  0.6216  +  i*  0.8031
  0.6216  -  i*  0.8031
  0.2478
  0.4764
  0.3893
  0.2032
  0.0284
  0.9017
  0.4265

 tolerance used =   0.88104024E-15
 eigenvalue stored at EIGS(N) on entry 
        now stored at EIGS( 7)
 the eigenvalues of the closed loop are:
  0.6216  +  i*  0.8031
  0.6216  -  i*  0.8031
  0.4764
  0.2478
  0.4265
  0.3893
  0.2033
  0.9017
  0.0284

 computed gain matrix F:
   -2.5724    0.6769   -1.2574    0.3528   -0.4997   -0.9656    1.1845    0.0000    0.0000
   -0.2849   -0.5452   -1.2494    0.1274   -0.5668   -0.6412   -0.3376    0.0000    0.0000
    1.9985    0.1808    1.2753    0.5530   -0.1198   -0.8179    1.8712    0.0000    0.0000
   -0.6681   -1.0619   -0.6613    0.0059   -0.1181    0.3824   -0.7930    0.0000    0.0000
   -1.3325   -1.0313   -1.1417   -0.1453   -0.6545   -0.2722    0.0440    0.0000    0.0000
    1.9865    0.9305   -0.2219    0.2053   -0.6571   -1.4549    1.0235    0.0000    0.0000
    0.2828   -0.3858    0.4358    0.0333   -0.4449    0.3022   -0.1848    0.0000    0.0000
    0.0465   -0.0552    0.7267    0.2009   -0.3151    0.0733    0.5488   -0.0808   -0.6580
 Demonstration Program Results
   test07           
 the eigenvalues to be allocated are:
  0.4679  +  i*  0.2872
  0.4679  -  i*  0.2872
  0.1783  +  i*  0.1537
  0.1783  -  i*  0.1537
  0.5716
  0.8024
  0.0331
  0.5344

 tolerance used =   0.70267792E-15
 the eigenvalues of the closed loop are:
  0.4679  +  i*  0.2872
  0.4679  -  i*  0.2872
  0.0331
  0.1783  +  i*  0.1537
  0.1783  -  i*  0.1537
  0.8024
  0.5717
  0.5344

 computed gain matrix F:
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
    0.8879    0.1303    0.1784   -0.5409    0.0000    0.0000    0.0000    0.0000
    0.6435    1.7507   -2.2184    0.2100    1.3477   -6.4379   -2.4985  -23.3845
    0.0380   -0.0819    2.0681   -0.0602   -2.0816    7.7146    2.8935   26.6307
 Demonstration Program Results
   test08           
 the eigenvalues to be allocated are:
  0.5045  +  i*  0.5163
  0.5045  -  i*  0.5163
  0.3190
  0.9866
  0.4940
  0.2661
  0.0907

 tolerance used =   0.49349413E-15
 the eigenvalues of the closed loop are:
  1.0778  +  i*  0.4238
  1.0778  -  i*  0.4238
  0.3392  +  i*  0.6500
  0.3392  -  i*  0.6500
  0.0184  +  i*  0.1768
  0.0184  -  i*  0.1768
  0.2949

 computed gain matrix F:
    0.2489   -2.3904    3.2020    0.0990   -0.9292    1.9323   -0.0094
 Demonstration Program Results
   test09           
 the eigenvalues to be allocated are:
  0.3888  +  i*  0.9522
  0.3888  -  i*  0.9522
  0.9476  +  i*  0.3899
  0.9476  -  i*  0.3899
  0.2692  +  i*  0.6922
  0.2692  -  i*  0.6922
  0.2840
  0.7769

 tolerance used =   0.78095530E-15
 the eigenvalues of the closed loop are:
  0.3888  +  i*  0.9522
  0.3888  -  i*  0.9522
  0.2692  +  i*  0.6922
  0.2692  -  i*  0.6922
  0.9475  +  i*  0.3898
  0.9475  -  i*  0.3898
  0.2840
  0.7769

 computed gain matrix F:
    0.3892    0.0044    0.5935   -1.0112   -0.9976   -0.1775    0.3247   -1.2121
   -1.4578    0.0233    0.2380    0.5325    0.8624   -0.5668   -0.1984   -0.2923
   -0.6029   -0.7545   -2.1290    0.0062    1.1338   -0.0397   -0.7087    2.4381
    0.1572   -0.1593   -0.5716    1.6415    0.6629   -0.1088   -0.1790    1.1188
    0.3124   -0.2093    1.4273   -0.8024   -0.4689    0.7710    0.0748   -1.4526
    0.2782    0.2652    1.8953   -0.1284   -2.0392    0.1586   -0.0217   -1.6027
   -0.8854    0.6067   -0.7371    0.3861    0.3295   -0.4005    0.7691    0.8716
   -0.7646   -0.2133   -1.9246    0.0416    0.0268    0.0591   -0.3556    2.0463
 Demonstration Program Results
   test10           
 the eigenvalues to be allocated are:
  0.8287  +  i*  0.0945
  0.8287  -  i*  0.0945
  0.0817  +  i*  0.7640
  0.0817  -  i*  0.7640
  0.6296  +  i*  0.2138
  0.6296  -  i*  0.2138
  0.2136
  0.0811

 tolerance used =   0.74874551E-15
 the eigenvalues of the closed loop are:
  0.0817  +  i*  0.7640
  0.0817  -  i*  0.7640
  0.8287  +  i*  0.0945
  0.8287  -  i*  0.0945
  0.6296  +  i*  0.2139
  0.6296  -  i*  0.2139
  0.0811
  0.2135

 computed gain matrix F:
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
   -0.0992    0.7753    1.2865    1.2901    0.0150   -0.5475    0.0000    0.0000
    0.1659   -0.4842    0.6537   -0.0132   -0.1184   -0.0933    0.0000    0.0000
    0.3834   -0.3197    0.2206    0.2743    0.1338    0.1617    0.0000    0.0000
    0.2288   -0.0223   -0.0122   -0.4309    0.6747    0.5071    0.0000    0.0000
    0.1007   -0.2591    0.0032   -0.7122   -0.4544    0.2169    0.0000    0.0000
    0.2359    0.2166   -0.0051   -0.2988    0.1992   -0.7912    0.0000    0.0000
   -0.3387   -0.2734   -0.0615    0.3452   -0.1993   -0.2667    0.3435   -0.3311
 Demonstration Program Results
   test11           
 the eigenvalues to be allocated are:
  0.9017  +  i*  0.4265
  0.9017  -  i*  0.4265
  0.1420  +  i*  0.9475
  0.1420  -  i*  0.9475
  0.4103  +  i*  0.1312
  0.4103  -  i*  0.1312
  0.8856
  0.0922

 WARNING: on exit iwarn = 1
 tolerance used =   0.79822926E-15
 the eigenvalues of the closed loop are:
  0.1420  +  i*  0.9475
  0.1420  -  i*  0.9475
  0.9017  +  i*  0.4265
  0.9017  -  i*  0.4265
  0.8856
  0.0922
  0.4103  +  i*  0.1312
  0.4103  -  i*  0.1312

 computed gain matrix F:
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
    0.2648   -0.9294    0.1674    0.2470   -0.9065   -0.4097   -0.1178    0.1701
    0.7043    0.2260   -0.1191   -0.1199   -0.2421    0.2311   -0.1223    0.0333
   -0.5400    0.5475    0.6162   -0.1538    0.6763   -0.6769   -0.2359    0.2566
    0.3207    0.0781   -0.7164    0.1622    0.4649   -0.7413    0.2581   -0.0665
   -0.0691    0.2863   -0.5469   -0.8528    0.9486    1.2726    0.3715   -0.6028
   -0.1964    0.4532   -0.0715   -0.3426    0.2323   -0.0024    0.7386    0.3585
    0.8049    0.5425   -0.1440   -0.1333   -0.2610    0.1466    0.6978    0.1215
   -1.0747    0.0777    0.0194   -0.5196    0.8482   -0.3907   -0.4436   -1.2912
 Demonstration Program Results
   test12           
 the eigenvalues to be allocated are:
  0.9017  +  i*  0.4265
  0.9017  -  i*  0.4265
  0.1420
  0.9475
  0.4103
  0.1312
  0.8856
  0.0922

 WARNING: on exit iwarn = 1
 tolerance used =   0.89167673E-15
 the eigenvalues of the closed loop are:
 -0.4144
 -0.1224
  0.6900  +  i*  0.4507
  0.6900  -  i*  0.4507
  0.4541  +  i*  0.1761
  0.4541  -  i*  0.1761
  0.9511
  0.9226

 computed gain matrix F:
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000
   -0.1907   -0.0291   -0.3587   -1.1003   -0.0488    0.0669    0.0000    0.0000
    0.2771    0.9826   -0.1019    0.9071    0.0186   -0.0255    0.0000    0.0000
    0.0658   -0.2490    1.1668    0.5463    0.0131   -0.0180    0.0000    0.0000
   -0.2755   -0.0542    0.3469    0.7759    0.0014   -0.0019    0.0000    0.0000
   -0.0422   -0.1030   -0.5155   -0.2064    0.5313    0.2955    0.9273   -0.3155
   -0.3340   -0.1477   -0.2955    0.2015    0.1809   -0.7718    0.0493    0.1539
 Demonstration Program Results
   test13           
 the eigenvalues to be allocated are:
  0.1234  +  i*  0.4321
  0.1234  -  i*  0.4321
  0.6789  +  i*  0.9876
  0.6789  -  i*  0.9876
  0.2468  +  i*  0.8642
  0.2468  -  i*  0.8642
 WARNING: on exit iwarn = 1

 WARNING: on exit iwarn = 2
 ERROR: on EXIT ierr  =  2
 tolerance used =   0.37747583E-14
 of  6 eigenvalues, the number allocated =  4
 the following eigenvalues were NOT allocated
  0.2468  +  i*  0.8642
  0.2468  -  i*  0.8642
 the eigenvalues of the closed loop are:
  1.0000
  0.1234  +  i*  0.4321
  0.1234  -  i*  0.4321
  0.6789  +  i*  0.9876
  0.6789  -  i*  0.9876
  8.0000

 computed gain matrix F:
    1.3871   -0.1798   -1.3884   -1.5106   -1.7360    0.0000
   -0.0764    0.3491    0.5212    1.1550    1.2771    0.0000
   -2.1276    0.2688    2.1960    1.8309    2.2450    0.0000
 Demonstration Program Results
   test14           
 the eigenvalues to be allocated are:
  0.4644  +  i*  0.9410
  0.4644  -  i*  0.9410
  0.0501
  0.7615
  0.7702
  0.8278
  0.1254
 WARNING: on exit iwarn = 1

 WARNING: on exit iwarn = 2
 ERROR: on EXIT ierr  =  2
 tolerance used =   0.53935489E-15
 of  7 eigenvalues, the number allocated =  6
 the following eigenvalues were NOT allocated
  0.1254
 the eigenvalues of the closed loop are:
  0.4644  +  i*  0.9410
  0.4644  -  i*  0.9410
  0.0501
  0.8278
  0.7702
  0.7615
 -0.1122

 computed gain matrix F:
   -1.0843    0.0882    0.2301    0.2246    0.0000    0.0000    0.2557
   -0.2033    1.2802    0.0694   -0.3091   -0.5666    0.0000   -0.7177
   -2.0619   -0.1116    2.5711   -1.8260    2.1958   -9.5969   -0.1839
 Demonstration Program Results
   test15           
 the eigenvalues to be allocated are:
  0.7219  +  i*  0.4966
  0.7219  -  i*  0.4966
  0.0537
  0.4416
  0.5192
  0.7719
  0.0654
  0.4428
 WARNING: on exit iwarn = 1

 WARNING: on exit iwarn = 2
 ERROR: on EXIT ierr  =  2
 tolerance used =   0.64061423E-15
 of  8 eigenvalues, the number allocated =  7
 the following eigenvalues were NOT allocated
  0.4428
 the eigenvalues of the closed loop are:
  0.7219  +  i*  0.4966
  0.7219  -  i*  0.4966
  0.0654
  0.0537
  0.7719
  0.5192
  0.4416
 -0.3029

 computed gain matrix F:
    0.3227   -0.5004   -0.4283   -0.4781    0.0902   -0.3277   -0.1166    0.0000
   -0.0068    1.5612   -2.2274   -4.2036    0.0341   -9.1466   -4.7626    0.0000
    0.0732   -0.3890    0.1507   -1.1243   -0.2800    2.2841   -0.3359    0.0000
   -0.3282   -0.0839    0.3472    0.1730   -0.0922    0.2528    0.0081    0.0000
 Demonstration Program Results
   test16           
 the eigenvalues to be allocated are:
  0.7219  +  i*  0.4966
  0.7219  -  i*  0.4966
  0.0537  +  i*  0.4416
  0.0537  -  i*  0.4416
  0.5192  +  i*  0.7719
  0.5192  -  i*  0.7719
  0.0654  +  i*  0.4428
  0.0654  -  i*  0.4428
 WARNING: on exit iwarn = 1

 WARNING: on exit iwarn = 2
 ERROR: on EXIT ierr  =  2
 tolerance used =   0.64061423E-15
 of  8 eigenvalues, the number allocated =  6
 the following eigenvalues were NOT allocated
  0.0654  +  i*  0.4428
  0.0654  -  i*  0.4428
 the eigenvalues of the closed loop are:
  1.5847
  0.5192  +  i*  0.7719
  0.5192  -  i*  0.7719
  0.0537  +  i*  0.4416
  0.0537  -  i*  0.4416
  0.7219  +  i*  0.4966
  0.7219  -  i*  0.4966
 -0.3029

 computed gain matrix F:
   -0.2632   -0.4941   -0.3114   -0.5365    0.0647   -0.5069    0.0518    0.0000
    0.2203    1.1585   -2.2792   -4.0142   -3.1412   -8.6576   -3.4432    0.0000
   -0.3401   -0.4836   -0.9029   -0.5833   -0.3461    3.9367   -1.7233    0.0000
    0.1311   -0.0904    0.2283    0.2323   -0.0662    0.4350   -0.1631    0.0000
 Demonstration Program Results
   test17           
 the eigenvalues to be allocated are:
  0.1312  +  i*  0.8856
  0.1312  -  i*  0.8856
  0.0922
  0.1622
  0.0711
  0.3653
  0.2531
  0.1351
  0.7831
  0.4553
  0.3495
 WARNING: on exit iwarn = 1

 WARNING: on exit iwarn = 2
 ERROR: on EXIT ierr  =  2
 tolerance used =   0.10610132E-14
 of 11 eigenvalues, the number allocated =  8
 the following eigenvalues were NOT allocated
  0.7831
  0.4553
  0.3495
 the eigenvalues of the closed loop are:
  0.1312  +  i*  0.8856
  0.1312  -  i*  0.8856
  0.3653
  0.0711
  0.0922
  0.1351
  0.1622
  0.2531
  0.4872
  0.0551  +  i*  0.3677
  0.0551  -  i*  0.3677

 computed gain matrix F:
    0.2857    0.9355   -2.4787   -1.0795    0.2068   -1.9580    1.4284   -0.8409    0.1869    0.0000    0.0000
   -0.3546    0.5065    0.2770    0.3595    0.0899   -0.1065    0.0110   -0.0425    0.3711    0.0000    0.0000
   -0.7520    0.5500    1.7342    1.5942    0.7685    0.5034   -0.0882   -0.2786   -0.3631    0.0000    0.0000
    0.8251   -0.4281   -0.0957   -1.5130   -0.1432   -0.0325   -0.0890    0.0828    0.2589    0.0000    0.0000
 Demonstration Program Results
   test18           
 the eigenvalues to be allocated are:
 -0.0219  +  i*  1.9999
 -0.0219  -  i*  1.9999
 -0.0865  +  i*  1.9981
 -0.0865  -  i*  1.9981
 -0.1910  +  i*  1.9909
 -0.1910  -  i*  1.9909
 -0.3309  +  i*  1.9724
 -0.3309  -  i*  1.9724
 -0.5000  +  i*  1.9365
 -0.5000  -  i*  1.9365
 -0.6910  +  i*  1.8768
 -0.6910  -  i*  1.8768
 -0.8955  +  i*  1.7883
 -0.8955  -  i*  1.7883
 -1.1045  +  i*  1.6673
 -1.1045  -  i*  1.6673
 -1.3090  +  i*  1.5121
 -1.3090  -  i*  1.5121
 -1.5000  +  i*  1.3229
 -1.5000  -  i*  1.3229
 -1.6691  +  i*  1.1018
 -1.6691  -  i*  1.1018
 -1.8090  +  i*  0.8529
 -1.8090  -  i*  0.8529
 -1.9135  +  i*  0.5817
 -1.9135  -  i*  0.5817
 -1.9781  +  i*  0.2948
 -1.9781  -  i*  0.2948
 -2.0000
  2.0000

 tolerance used =   0.51625371E-13
 the eigenvalues of the closed loop are:
 -0.0222  +  i*  2.0009
 -0.0222  -  i*  2.0009
 -0.0877  +  i*  2.0021
 -0.0877  -  i*  2.0021
 -0.1935  +  i*  1.9994
 -0.1935  -  i*  1.9994
 -0.3343  +  i*  1.9869
 -0.3343  -  i*  1.9869
 -0.5034  +  i*  1.9572
 -0.5034  -  i*  1.9572
 -0.6931  +  i*  1.9030
 -0.6931  -  i*  1.9030
 -0.8955  +  i*  1.8176
 -0.8955  -  i*  1.8176
 -1.1026  +  i*  1.6972
 -1.1026  -  i*  1.6972
 -1.3060  +  i*  1.5403
 -1.3060  -  i*  1.5403
 -1.4969  +  i*  1.3479
 -1.4969  -  i*  1.3479
 -1.6666  +  i*  1.1227
 -1.6666  -  i*  1.1227
 -1.8074  +  i*  0.8691
 -1.8074  -  i*  0.8691
 -1.9127  +  i*  0.5927
 -1.9127  -  i*  0.5927
 -1.9779  +  i*  0.3004
 -1.9779  -  i*  0.3004
 -2.0000
  2.0000

 computed gain matrix F:
    0.0000    0.7693    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000    0.0000   -0.0001   -0.0001   -0.0001    0.0000
    0.0002    0.0004    0.0007    0.0001    0.0015    0.0053    0.0192    0.0647    0.2241    0.0000
 Demonstration Program Results
   test19           
 the eigenvalues to be allocated are:
 -0.0123  +  i*  2.0000
 -0.0123  -  i*  2.0000
 -0.0489  +  i*  1.9994
 -0.0489  -  i*  1.9994
 -0.1090  +  i*  1.9970
 -0.1090  -  i*  1.9970
 -0.1910  +  i*  1.9909
 -0.1910  -  i*  1.9909
 -0.2929  +  i*  1.9784
 -0.2929  -  i*  1.9784
 -0.4122  +  i*  1.9571
 -0.4122  -  i*  1.9571
 -0.5460  +  i*  1.9240
 -0.5460  -  i*  1.9240
 -0.6910  +  i*  1.8768
 -0.6910  -  i*  1.8768
 -0.8436  +  i*  1.8134
 -0.8436  -  i*  1.8134
 -1.0000  +  i*  1.7321
 -1.0000  -  i*  1.7321
 -1.1564  +  i*  1.6318
 -1.1564  -  i*  1.6318
 -1.3090  +  i*  1.5121
 -1.3090  -  i*  1.5121
 -1.4540  +  i*  1.3733
 -1.4540  -  i*  1.3733
 -1.5878  +  i*  1.2161
 -1.5878  -  i*  1.2161
 -1.7071  +  i*  1.0420
 -1.7071  -  i*  1.0420
 -1.8090  +  i*  0.8529
 -1.8090  -  i*  0.8529
 -1.8910  +  i*  0.6512
 -1.8910  -  i*  0.6512
 -1.9511  +  i*  0.4397
 -1.9511  -  i*  0.4397
 -1.9877  +  i*  0.2216
 -1.9877  -  i*  0.2216
 -2.0000
  2.0000

 ERROR: on EXIT ierr  =  1
 tolerance used =   0.91038288E-13
 of 40 eigenvalues, the number allocated = 36
 the following eigenvalues were NOT allocated
 -1.9877  +  i*  0.2216
 -1.9877  -  i*  0.2216
 -2.0000
  2.0000
 the eigenvalues of the closed loop are:
 -0.8893  +  i*  3.1425
 -0.8893  -  i*  3.1425
 -0.0136  +  i*  2.0003
 -0.0136  -  i*  2.0003
 -0.0539  +  i*  2.0006
 -0.0539  -  i*  2.0006
 -0.1202  +  i*  1.9993
 -0.1202  -  i*  1.9993
 -0.2108  +  i*  1.9939
 -0.2108  -  i*  1.9939
 -0.3237  +  i*  1.9812
 -0.3237  -  i*  1.9812
 -0.4561  +  i*  1.9575
 -0.4561  -  i*  1.9575
 -0.6043  +  i*  1.9191
 -0.6043  -  i*  1.9191
 -0.7639  +  i*  1.8627
 -0.7639  -  i*  1.8627
 -0.9299  +  i*  1.7860
 -0.9299  -  i*  1.7860
 -1.0971  +  i*  1.6875
 -1.0971  -  i*  1.6875
 -1.2607  +  i*  1.5671
 -1.2607  -  i*  1.5671
 -1.4161  +  i*  1.4255
 -1.4161  -  i*  1.4255
 -1.5594  +  i*  1.2638
 -1.5594  -  i*  1.2638
 -1.6871  +  i*  1.0838
 -1.6871  -  i*  1.0838
 -1.7961  +  i*  0.8876
 -1.7961  -  i*  0.8876
 -1.8837  +  i*  0.6780
 -1.8837  -  i*  0.6780
 -1.9478  +  i*  0.4580
 -1.9478  -  i*  0.4580
 -1.9869  +  i*  0.2307
 -1.9869  -  i*  0.2307
 -2.0002
  2.0000

 computed gain matrix F:
    0.0012    7.9990    0.0034   -0.0036    0.0084   -0.0102    0.0096   -0.0221    0.0333   -0.0370    0.0768   -0.0252    0.1214   -0.2405    0.1026   -0.3231    0.4644   -0.2767    1.1941   -0.7582
    0.8250   -2.9476    0.8129   -1.7353    7.5120   -0.2505    5.1128  -11.8175   -1.2124   -3.5922   15.9099   -2.9972    9.8457   14.5012   46.5532   61.2849  -71.2015  -87.4967    2.5050   -0.0014
 Demonstration Program Results
   test20           
 the eigenvalues to be allocated are:
  0.1537  +  i*  0.5717
  0.1537  -  i*  0.5717
  0.8024  +  i*  0.0331
  0.8024  -  i*  0.0331
  0.5344
  0.4985
  0.9554
  0.7483
  0.5546

 tolerance used =   0.64827308E-15
 eigenvalue stored at EIGS(N) on entry 
        now stored at EIGS( 3)
 the eigenvalues of the closed loop are:
  0.9078  +  i*  0.9313
  0.9078  -  i*  0.9313
  1.2475
  1.0025  +  i*  0.4846
  1.0025  -  i*  0.4846
 -0.1590  +  i*  0.3689
 -0.1590  -  i*  0.3689
  0.0003
  0.4531

 computed gain matrix F:
    0.2722   -0.6976    2.4776   -0.0065   -0.4737   -0.4340    1.7725    1.5284   -2.1786
   -0.7150    2.2122   -3.0250    2.7809    0.5588    1.4519   -2.7013   -3.3842    4.0629
   -0.4645   -0.0969    0.2295   -0.8921    1.1447   -0.1418    0.2523    1.6180   -0.2118
