Results for min displ and min vol

NBI

Report on number of floating point operations (INCLUDES FLOPS FOR SHADOWMIN)
 Number of flops in initial calculations: 652730

         beta        #flops(in K)     
   1.0e+03 *

         0    0.0010         0
    0.0001    0.0009    0.4998
    0.0001    0.0009    0.3599
    0.0002    0.0008    0.3041
    0.0002    0.0008    0.2478
    0.0003    0.0008    0.2492
    0.0003    0.0007    0.1663
    0.0004    0.0006    1.8169
    0.0004    0.0006    0.9769
    0.0005    0.0005    0.7514
    0.0006    0.0004    0.6115
    0.0006    0.0004    0.5012
    0.0006    0.0003    0.0780
    0.0007    0.0003    0.3629
    0.0008    0.0003    1.9095
    0.0009    0.0001    0.1627
    0.0009    0.0001    0.0783
    0.0010    0.0000    0.0783
    0.0010         0         0


net_flops =

     9807345

(EXCLUDING SHADOWMIN FLOPS)

Report on number of floating point operations
 Number of flops in initial calculations: 74

         beta        #flops(in K)     
   1.0e+03 *

         0    0.0010         0
    0.0001    0.0009    0.4439
    0.0001    0.0009    0.3599
    0.0002    0.0008    0.3040
    0.0002    0.0008    0.2478
    0.0003    0.0008    0.2492
    0.0003    0.0007    0.1663
    0.0004    0.0006    1.8169
    0.0004    0.0006    0.9768
    0.0005    0.0005    0.7514
    0.0006    0.0004    0.6115
    0.0006    0.0004    0.5021
    0.0006    0.0003    0.0779
    0.0007    0.0003    0.3629
    0.0008    0.0003    1.9093
    0.0009    0.0001    0.1627
    0.0009    0.0001    0.0783
    0.0010    0.0000    0.0786
    0.0010         0         0


net_flops =

     9099624

Pareto_Fmat =

    1.3592    1.4282
    1.2492    1.4635
    1.1407    1.5032
    1.0341    1.5482
    0.9298    1.5995
    0.8281    1.6585
    0.7298    1.7269
    0.5462    1.9009
    0.4630    2.0120
    0.3869    2.1435
    0.3191    2.2984
    0.2603    2.4790
    0.2170    2.7034
    0.1967    2.9933
    0.1792    3.2907
    0.1496    3.9015
    0.1410    4.2243
    0.1367    4.5594
    0.1347    4.9011

Pareto_xmat =

  Columns 1 through 7 

    0.8000    1.0911    0.8000   30.0000    1.1071    0.5880    0.2537
    0.8120    1.1623    0.8000   30.0000    1.1071    0.5880    0.2509
    0.8377    1.2289    0.8000   30.0000    1.1071    0.5880    0.2364
    0.8664    1.3048    0.8000   30.0000    1.1071    0.5880    0.2218
    0.8989    1.3915    0.8000   30.0000    1.1071    0.5880    0.2070
    0.9361    1.4916    0.8000   30.0000    1.1071    0.5880    0.1921
    0.9788    1.6079    0.8000   30.0000    1.1071    0.5880    0.1771
    1.0863    1.9053    0.8000   30.0000    1.1071    0.5880    0.1470
    1.1543    2.0961    0.8000   30.0000    1.1071    0.5880    0.1323
    1.2341    2.3224    0.8000   30.0000    1.1071    0.5880    0.1181
    1.3273    2.5900    0.8000   30.0000    1.1071    0.5880    0.1046
    1.4355    2.9026    0.8000   30.0000    1.1071    0.5880    0.0921
    1.8299    3.0000    0.8000   30.0000    1.1071    0.5880   -0.0042
    2.1668    3.0000    0.9770   30.0000    1.1071    0.5880   -0.0332
    2.4550    3.0000    1.1942   30.0000    1.1071    0.5880   -0.0384
    3.0000    3.0000    1.6693   30.0000    1.1071    0.5880   -0.0356
    3.0000    3.0000    2.0990   30.0000    1.1071    0.5880    0.0042
    3.0000    3.0000    2.5452   30.0000    1.1071    0.5880    0.0341
    3.0000    3.0000    3.0000   30.0000    1.1071    0.5880    0.0570

  Column 8 

    1.1379
    1.0891
    1.0416
    0.9924
    0.9418
    0.8895
    0.8357
    0.7243
    0.6674
    0.6107
    0.5551
    0.5018
    0.4658
    0.4423
    0.4215
    0.3851
    0.3754
    0.3681
    0.3626


Corresponding weights in convex combinations problem
           beta                 w  
         0    1.0000         0    1.0000
    0.0500    0.9500    0.2550    0.7450
    0.1000    0.9000    0.2816    0.7184
    0.1500    0.8500    0.3123    0.6877
    0.2000    0.8000    0.3474    0.6526
    0.2500    0.7500    0.3877    0.6123
    0.3000    0.7000    0.4335    0.5665
    0.4000    0.6000    0.5414    0.4586
    0.4500    0.5500    0.6020    0.3980
    0.5000    0.5000    0.6643    0.3357
    0.5500    0.4500    0.7254    0.2746
    0.6000    0.4000    0.7819    0.2181
    0.6500    0.3500    0.9093    0.0907
    0.7000    0.3000    0.9406    0.0594
    0.7500    0.2500    0.9476    0.0524
    0.8500    0.1500    0.9634    0.0366
    0.9000    0.1000    0.9822    0.0178
    0.9500    0.0500    0.9915    0.0085
    1.0000         0    1.0000         0


Solving using NBI multipliers as wts,
net_flops =

     8710018

Using LC

Report on number of floating point operations
                  w            #flops(in K)     failure
   1.0e+03 *

         0    0.0010         0         0
    0.0001    0.0009    0.4456         0
    0.0001    0.0009    0.0200         0
    0.0002    0.0008    0.0384         0
    0.0002    0.0008    0.0200         0
    0.0003    0.0008    0.1339         0
    0.0003    0.0007    0.1499         0
    0.0004    0.0006    0.1501         0
    0.0004    0.0006    0.1502         0
    0.0004    0.0006    0.1502         0
    0.0005    0.0005    0.1721         0
    0.0006    0.0004    0.1716         0
    0.0006    0.0004    0.1715         0
    0.0006    0.0003    0.1724         0
    0.0007    0.0003    0.1944         0
    0.0008    0.0003    0.1951         0
    0.0008    0.0002    0.1797         0
    0.0009    0.0001    0.1151         0
    0.0009    0.0001    0.1391         0
    0.0010    0.0000    2.7504    0.0020
    0.0010         0         0         0


net_flops =

     5519948


Fmatrix =

    1.3592    1.4282
    1.3593    1.4282
    1.3593    1.4282
    1.3593    1.4282
    1.3593    1.4282
    1.2713    1.4560
    1.0748    1.5302
    0.9228    1.6032
    0.8001    1.6767
    0.6978    1.7522
    0.6103    1.8313
    0.5338    1.9159
    0.4656    2.0082
    0.4037    2.1113
    0.3466    2.2300
    0.2931    2.3715
    0.2443    2.5394
    0.2302    2.6060
    0.2188    2.6863
    0.1690    3.4557
    0.1347    4.9011

  17 distinct points

