DATA:

 =======
 Lower bound    for diameter       1.0000000000000D-01
 Upper bound    for diameter       2.5000000000000
 Starting value for diameter       0.20000000000000
 Initial step   in  diameter       1.0000000000000D-01
 Step acceleration factor          2.0000000000000
 Convergence method code           1
 diameter tolerance                1.0000000000000D-03
 Point   1  x, f :    1.0000000000000D-0  28117.666259517
 Point   2  x, f :    0.20000000000000    1045.7067265257
 Point   3  x, f :    0.30000000000000    153.28041244697
 Point   3  x, f :    0.50000000000000    14.854342644059
 Point   3  x, f :    0.90000000000000    3.0247419485726
 Point   3  x, f :    1.7000000000000     3.8402103291189
 RESULT:
 =======
 Lower bound for bounded search      0.50000000000000
 Upper bound for bounded search      1.7000000000000
 Cost at lower bound                 14.854342644059
 Cost at upper bound                 3.8402103291189

 iteration     1
 x:    0.50000000000000    1.1000000000000    1.7000000000000    1.3569661197376
 f:     14.854342644059    2.9179470133947    3.8402103291189    3.2312239265539

 iteration     2
 x:    0.50000000000000    1.1000000000000    1.3569661197376    1.2037411304139
 f:     14.854342644059    2.9179470133947    3.2312239265539    3.0147051759186
 
 iteration     3
 x:    0.50000000000000    1.1000000000000    1.2037411304139    1.1361126229489
 f:     14.854342644059    2.9179470133947    3.0147051759186    2.9449461480284

 iteration     4
 x:    0.50000000000000    1.1000000000000    1.1361126229489    1.1065363548164
 f:     14.854342644059    2.9179470133947    2.9449461480284    2.9221968991758

 iteration     5
 x:    0.50000000000000    1.1000000000000    1.1065363548164    1.0936702034234
 f:     14.854342644059    2.9179470133947    2.9221968991758    2.9141235899669

 iteration     6
 x:    0.50000000000000    1.0936702034234    1.1000000000000    1.0880879671367
 f:     14.854342644059    2.9141235899669    2.9179470133947    2.9109994623564

 iteration     7
 x:    0.50000000000000    1.0880879671367    1.0936702034234    1.0829184792415
 f:     14.854342644059    2.9109994623564    2.9141235899669    2.9083208282343

 iteration     8
 x:    0.50000000000000    1.0829184792415    1.0880879671367    1.0782518810355
 f:     14.854342644059    2.9083208282343    2.9109994623564    2.9060856618442

 iteration     9
 x:    0.50000000000000    1.0782518810355    1.0829184792415    1.0739820852205
 f:     14.854342644059    2.9060856618442    2.9083208282343    2.9041971129299

 iteration     10
 x:    0.50000000000000    1.0739820852205    1.0782518810355    1.0701024266569
 f:     14.854342644059    2.9041971129299    2.9060856618442    2.9026143729579

 iteration     11
 x:    0.50000000000000    1.0701024266569    1.0739820852205    1.0665640736118
 f:     14.854342644059    2.9026143729579    2.9041971129299    2.9012842367965

 iteration     12
 x:    0.50000000000000    1.0665640736118    1.0701024266569    1.0633430542931
 f:     14.854342644059    2.9012842367965    2.9026143729579    2.9001695577063

 iteration     13
 x:    0.50000000000000    1.0633430542931    1.0665640736118    1.0604078356621
 f:     14.854342644059    2.9001695577063    2.9012842367965    2.8992352478539

 iteration     14
 x:    0.50000000000000    1.0604078356621    1.0633430542931    1.0577343818406
 f:     14.854342644059    2.8992352478539    2.9001695577063    2.8984531357739

 iteration     15
 x:    0.50000000000000    1.0577343818406    1.0604078356621    1.0552986088843
 f:     14.854342644059    2.8984531357739    2.8992352478539    2.8977987056880

 iteration     16
 x:    0.50000000000000    1.0552986088843    1.0577343818406    1.0530796564958
 f:     14.854342644059    2.8977987056880    2.8984531357739    2.8972515491884

 iteration     17
 x:    0.50000000000000    1.0530796564958    1.0552986088843    1.0510580331415
 f:     14.854342644059    2.8972515491884    2.8977987056880    2.8967943210463

 iteration     18
 x:    0.50000000000000    1.0510580331415    1.0530796564958    1.0492162347185
 f:     14.854342644059    2.8967943210463    2.8972515491884    2.8964124673085

 iteration     19
 x:    0.50000000000000    1.0492162347185    1.0510580331415    1.0475382090689
 f:     14.854342644059    2.8964124673085    2.8967943210463    2.8960937177822

 iteration     20
 x:    0.50000000000000    1.0475382090689    1.0492162347185    1.0460093936754
 f:     14.854342644059    2.8960937177822    2.8964124673085    2.8958277712853

 iteration     21
 x:    0.50000000000000    1.0460093936754    1.0475382090689    1.0446165004303
 f:     14.854342644059    2.8958277712853    2.8960937177822    2.8956059746269

 iteration     22
 x:    0.50000000000000    1.0446165004303    1.0460093936754    1.0433474393590
 f:     14.854342644059    2.8956059746269    2.8958277712853    2.8954210719606

 iteration     23
 x:    0.50000000000000    1.0433474393590    1.0446165004303    1.0421911925960
 f:     14.854342644059    2.8954210719606    2.8956059746269    2.8952669817933

 iteration     24
 x:    0.50000000000000    1.0421911925960    1.0433474393590    1.0411377269813
 f:     14.854342644059    2.8952669817933    2.8954210719606    2.8951386121710

 iteration     25
 x:    0.50000000000000    1.0411377269813    1.0421911925960    1.0401779017023
 f:     14.854342644059    2.8951386121710    2.8952669817933    2.8950317023075
 
RESULT:
 =======
 Optimum diameter                    1.0401779017023
 Cost at  optimum                    2.8950317023075