% Starting Algorithm: 
%	className: org.openda.algorithms.Dud
%	dir.: /home/verlaanm/tudelft/svn_costa/trunk/openda/tests/l21triad/./algorithm
%	config.: dud.xml
% configstring = dud.xml
% opening :/home/verlaanm/tudelft/svn_costa/trunk/openda/tests/l21triad/./algorithm/dud.xml
% Dud initialized
% Application initializing finished
% Initializing application
% Dud preparation
% Retrieving initial parameters from model
% Starting optimizer
% costFunction@class=org.openda.algorithms.SimulationKwadraticCostFunction
% costFunction@weakParameterConstraint=false
% costFunction@factor=0.5
% ========================================================================
% no1
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{1}	=[0.05,2.5];
predicted{1}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3366,1.6621,0.02581,2.0081,1.2385,1.5915,0.02517,2.0081,1.1647,1.5353,0.02315,2.0081,1.0781,1.4673,0.02161,2.0081,1.0196,1.3941,0.02115,2.0081,0.9919,1.3446];
observed{1}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{1}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.024599999999999955,0.005900000000000016,0.00119,-0.008100000000000218,-0.25149999999999995,-0.0044999999999999485,0.0018299999999999983,-0.008100000000000218,-0.22570000000000012,-0.02430000000000021,0.001850000000000001,-0.008100000000000218,-0.09310000000000007,-0.03930000000000011,0.0023899999999999998,-0.008100000000000218,0.019399999999999862,0.027900000000000036,0.002850000000000002,-0.008100000000000218,0.0250999999999999,0.04339999999999988];
obs_stdev{1}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{1}	=8.640480586480448;
costTotal{1}	=8.640480586480448;
% SimulationKwadraticCostFunction: evaluation 1 : cost = 8.640480586480448
% ========================================================================
% no2
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{2}	=[0.05500000007450581,2.5];
predicted{2}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3364,1.6619,0.02584,2.0081,1.2283,1.5843,0.02523,2.0081,1.1457,1.5239,0.02323,2.0081,1.0604,1.454,0.02173,2.0081,1.0023,1.3794,0.02128,2.0081,0.9756,1.3298];
observed{2}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{2}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.024399999999999977,0.006099999999999994,0.0011600000000000013,-0.008100000000000218,-0.24129999999999996,0.0026999999999999247,0.0017700000000000007,-0.008100000000000218,-0.2067,-0.012900000000000134,0.0017700000000000007,-0.008100000000000218,-0.07540000000000002,-0.026000000000000023,0.002270000000000001,-0.008100000000000218,0.036699999999999955,0.04259999999999997,0.00272,-0.008100000000000218,0.04139999999999988,0.05819999999999981];
obs_stdev{2}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{2}	=7.739612005289244;
costTotal{2}	=7.739612005289244;
% SimulationKwadraticCostFunction: evaluation 2 : cost = 7.739612005289244
% ========================================================================
% no3
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{3}	=[0.05,2.7500000037252903];
predicted{3}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3365,1.6621,0.02588,2.0081,1.2123,1.5821,0.02534,2.0081,1.1048,1.5117,0.02339,2.0081,1.0134,1.4366,0.02192,2.0081,0.9562,1.3599,0.02146,2.0081,0.9316,1.3109];
observed{3}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{3}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.024499999999999966,0.005900000000000016,0.0011199999999999995,-0.008100000000000218,-0.22529999999999994,0.004899999999999904,0.0016599999999999983,-0.008100000000000218,-0.16580000000000006,-7.00000000000145E-4,0.0016100000000000003,-0.008100000000000218,-0.028400000000000092,-0.008600000000000163,0.002080000000000002,-0.008100000000000218,0.08279999999999987,0.06209999999999982,0.0025400000000000006,-0.008100000000000218,0.08539999999999992,0.07709999999999995];
obs_stdev{3}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{3}	=6.635494326667225;
costTotal{3}	=6.635494326667225;
% SimulationKwadraticCostFunction: evaluation 3 : cost = 6.635494326667225
% outerLoop@maxIterations=20
% outerLoop@absTolerance=0.0010
% outerLoop@relTolerance=0.0010
% lineSearch@maxIterations=5
% lineSearch@maxRelStepSize=10.0
% lineSearch/backtracking@startIterationNegativeLook=3
% lineSearch/backtracking@shorteningFactor=0.5
% Application initialized
% Application starting next step
% ======================================================
% DUD outer iteration no.1
% ======================================================
% -----------------------------------------------------
costs{1}	=[6.635494326667225,7.739612005289244,8.640480586480448];
% -----------------------------------------------------
% Start search until improvement,
% % Reducing stepsize! Relative step was:[13.958764687277416,-10.24305538737666]
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.10000000074505809]
%	TreeVector TRIAD.cutfr [2.0845203859880943] , delta_p= TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.05000000074505809]
%	TreeVector TRIAD.cutfr [-0.665479617737196]
% ========================================================================
% no4
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{4}	=[0.10000000074505809,2.0845203859880943];
predicted{4}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3356,1.6609,0.02586,2.0081,1.2258,1.5607,0.02518,2.0081,1.1719,1.5152,0.02306,2.0081,1.1132,1.4649,0.02153,2.0081,1.0597,1.3971,0.02111,2.0081,1.0308,1.348];
observed{4}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{4}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023599999999999843,0.007099999999999884,0.0011399999999999987,-0.008100000000000218,-0.2388,0.02629999999999999,0.0018199999999999987,-0.008100000000000218,-0.2329,-0.004200000000000204,0.0019400000000000008,-0.008100000000000218,-0.12819999999999998,-0.036900000000000155,0.00247,-0.008100000000000218,-0.020700000000000163,0.024899999999999922,0.00289,-0.008100000000000218,-0.013800000000000034,0.039999999999999813];
obs_stdev{4}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{4}	=8.943971861473912;
costTotal{4}	=8.943971861473912;
% SimulationKwadraticCostFunction: evaluation 4 : cost = 8.943971861473912
%      cost =8.943971861473912
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.10000000074505809]
%	TreeVector TRIAD.cutfr [2.0845203859880943]
% ========================================================================
% no5
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{5}	=[0.07500000037252905,2.4172601948566923];
predicted{5}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3354,1.6612,0.02591,2.0081,1.2054,1.5628,0.0253,2.0081,1.1257,1.5009,0.02339,2.0081,1.0299,1.4245,0.02197,2.0081,0.9736,1.3476,0.02156,2.0081,0.9488,1.2981];
observed{5}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{5}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023399999999999865,0.006799999999999917,0.0010900000000000007,-0.008100000000000218,-0.21840000000000004,0.0242,0.0017000000000000001,-0.008100000000000218,-0.18669999999999998,0.010099999999999998,0.0016100000000000003,-0.008100000000000218,-0.04490000000000005,0.0034999999999998366,0.0020300000000000006,-0.008100000000000218,0.0653999999999999,0.07440000000000002,0.002440000000000001,-0.008100000000000218,0.06819999999999993,0.08989999999999987];
obs_stdev{5}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{5}	=6.762441731279632;
costTotal{5}	=6.762441731279632;
% SimulationKwadraticCostFunction: evaluation 5 : cost = 6.762441731279632
%      cost =6.762441731279632
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.07500000037252905]
%	TreeVector TRIAD.cutfr [2.4172601948566923]
% ========================================================================
% no6
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{6}	=[0.06250000018626453,2.5836300992909913];
predicted{6}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.336,1.6616,0.02589,2.0081,1.209,1.5724,0.02535,2.0081,1.1067,1.502,0.02343,2.0081,1.0142,1.425,0.02199,2.0081,0.9577,1.3474,0.02157,2.0081,0.9335,1.2982];
observed{6}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{6}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.02400000000000002,0.006399999999999961,0.0011099999999999999,-0.008100000000000218,-0.2220000000000001,0.014599999999999946,0.0016499999999999987,-0.008100000000000218,-0.16770000000000007,0.008999999999999897,0.001570000000000002,-0.008100000000000218,-0.029200000000000004,0.0029999999999998916,0.0020100000000000014,-0.008100000000000218,0.08129999999999993,0.0746,0.0024300000000000016,-0.008100000000000218,0.08349999999999991,0.08979999999999988];
obs_stdev{6}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{6}	=6.585435914632653;
costTotal{6}	=6.585435914632653;
% SimulationKwadraticCostFunction: evaluation 6 : cost = 6.585435914632653
%      cost =6.585435914632653
% Error estimate for this outer iteration
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
parameterErrorEstimateStd{1}	=[0.06255868882776996,0.9779653295180603];
parameterErrorCorrelations{1}	=[1.0,-0.9823803203866072;-0.9823803203866059,1.0000000000000002];
% Application starting next step
% ======================================================
% DUD outer iteration no.2
% ======================================================
% -----------------------------------------------------
costs{2}	=[6.585435914632653,6.635494326667225,7.739612005289244];
% -----------------------------------------------------
% Start search until improvement,
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06417419640483082]
%	TreeVector TRIAD.cutfr [2.6862425398505025] , delta_p= TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.0016741962185662942]
%	TreeVector TRIAD.cutfr [0.10261244055951112]
% ========================================================================
% no7
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{7}	=[0.06417419640483082,2.6862425398505025];
predicted{7}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1849,1.5624,0.02546,2.0081,1.0686,1.4856,0.02359,2.0081,0.9755,1.4057,0.02219,2.0081,0.9203,1.3264,0.02176,2.0081,0.8978,1.2777];
observed{7}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{7}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19790000000000008,0.024599999999999955,0.0015399999999999997,-0.008100000000000218,-0.12960000000000005,0.025399999999999867,0.0014100000000000015,-0.008100000000000218,0.009499999999999953,0.022299999999999986,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.09559999999999991,0.002239999999999999,-0.008100000000000218,0.11919999999999986,0.11029999999999984];
obs_stdev{7}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{7}	=6.092809936373415;
costTotal{7}	=6.092809936373415;
% SimulationKwadraticCostFunction: evaluation 7 : cost = 6.092809936373415
%      cost =6.092809936373415
% Error estimate for this outer iteration
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
parameterErrorEstimateStd{2}	=[0.06755133069798835,0.9607340267990632];
parameterErrorCorrelations{2}	=[1.0,-0.9802175881461609;-0.9802175881461606,0.9999999999999998];
% Application starting next step
% ======================================================
% DUD outer iteration no.3
% ======================================================
% -----------------------------------------------------
costs{3}	=[6.092809936373415,6.585435914632653,6.635494326667225];
% -----------------------------------------------------
% Start search until improvement,
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.058685167888225837]
%	TreeVector TRIAD.cutfr [2.784552723720697] , delta_p= TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [-0.005489028516604985]
%	TreeVector TRIAD.cutfr [0.09831018387019412]
% ========================================================================
% no8
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{8}	=[0.058685167888225837,2.784552723720697];
predicted{8}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.336,1.6617,0.02594,2.0081,1.1886,1.5677,0.02545,2.0081,1.0714,1.4912,0.02357,2.0081,0.9769,1.4114,0.02214,2.0081,0.9215,1.3326,0.0217,2.0081,0.8988,1.2839];
observed{8}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{8}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.02400000000000002,0.006299999999999972,0.0010599999999999984,-0.008100000000000218,-0.2016000000000001,0.019299999999999873,0.0015499999999999993,-0.008100000000000218,-0.13239999999999996,0.019799999999999818,0.0014300000000000007,-0.008100000000000218,0.008099999999999996,0.016599999999999948,0.0018600000000000005,-0.008100000000000218,0.11749999999999994,0.08939999999999992,0.0023,-0.008100000000000218,0.11819999999999986,0.10409999999999986];
obs_stdev{8}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{8}	=6.153998100147772;
costTotal{8}	=6.153998100147772;
% SimulationKwadraticCostFunction: evaluation 8 : cost = 6.153998100147772
%      cost =6.153998100147772
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.058685167888225837]
%	TreeVector TRIAD.cutfr [2.784552723720697]
% ========================================================================
% no9
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{9}	=[0.06142968214652833,2.7353976317855997];
predicted{9}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3359,1.6616,0.02594,2.0081,1.1874,1.5652,0.02545,2.0081,1.0699,1.4883,0.02358,2.0081,0.9758,1.4084,0.02217,2.0081,0.9206,1.3293,0.02173,2.0081,0.898,1.2806];
observed{9}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{9}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023900000000000032,0.006399999999999961,0.0010599999999999984,-0.008100000000000218,-0.20040000000000002,0.02180000000000004,0.0015499999999999993,-0.008100000000000218,-0.13090000000000013,0.022699999999999942,0.0014200000000000011,-0.008100000000000218,0.009199999999999986,0.01959999999999984,0.0018300000000000018,-0.008100000000000218,0.11839999999999995,0.0927,0.002270000000000001,-0.008100000000000218,0.11899999999999988,0.10739999999999994];
obs_stdev{9}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{9}	=6.143297999298804;
costTotal{9}	=6.143297999298804;
% SimulationKwadraticCostFunction: evaluation 9 : cost = 6.143297999298804
%      cost =6.143297999298804
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06142968214652833]
%	TreeVector TRIAD.cutfr [2.7353976317855997]
% ========================================================================
% no10
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{10}	=[0.06280193927567958,2.710820085818051];
predicted{10}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3358,1.6616,0.02595,2.0081,1.1867,1.564,0.02546,2.0081,1.0698,1.4871,0.02358,2.0081,0.977,1.4076,0.02217,2.0081,0.9217,1.3285,0.02174,2.0081,0.8991,1.2798];
observed{10}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{10}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023800000000000043,0.006399999999999961,0.0010499999999999989,-0.008100000000000218,-0.1997000000000001,0.02299999999999991,0.0015399999999999997,-0.008100000000000218,-0.13080000000000014,0.02389999999999981,0.0014200000000000011,-0.008100000000000218,0.008000000000000007,0.020399999999999974,0.0018300000000000018,-0.008100000000000218,0.11729999999999996,0.09349999999999992,0.0022600000000000016,-0.008100000000000218,0.1178999999999999,0.10819999999999985];
obs_stdev{10}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{10}	=6.105368276921297;
costTotal{10}	=6.105368276921297;
% SimulationKwadraticCostFunction: evaluation 10 : cost = 6.105368276921297
%      cost =6.105368276921297
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06280193927567958]
%	TreeVector TRIAD.cutfr [2.710820085818051]
% ========================================================================
% no11
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{11}	=[0.06348806784025521,2.6985313128342767];
predicted{11}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3358,1.6616,0.02595,2.0081,1.1866,1.5634,0.02546,2.0081,1.0685,1.4861,0.02359,2.0081,0.9759,1.4065,0.02218,2.0081,0.9208,1.3274,0.02175,2.0081,0.8982,1.2787];
observed{11}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{11}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023800000000000043,0.006399999999999961,0.0010499999999999989,-0.008100000000000218,-0.1996000000000001,0.023600000000000065,0.0015399999999999997,-0.008100000000000218,-0.12950000000000006,0.024899999999999922,0.0014100000000000015,-0.008100000000000218,0.009099999999999997,0.021499999999999853,0.0018200000000000022,-0.008100000000000218,0.11819999999999997,0.09460000000000002,0.002250000000000002,-0.008100000000000218,0.1187999999999999,0.10929999999999995];
obs_stdev{11}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{11}	=6.109946383591312;
costTotal{11}	=6.109946383591312;
% SimulationKwadraticCostFunction: evaluation 11 : cost = 6.109946383591312
%      cost =6.109946383591312
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06348806784025521]
%	TreeVector TRIAD.cutfr [2.6985313128342767]
% ========================================================================
% no12
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{12}	=[0.06383113212254302,2.69238692634239];
predicted{12}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3358,1.6615,0.02595,2.0081,1.1855,1.5629,0.02546,2.0081,1.0682,1.4857,0.02359,2.0081,0.975,1.4058,0.02219,2.0081,0.9198,1.3265,0.02176,2.0081,0.8973,1.2778];
observed{12}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{12}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023800000000000043,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.1985,0.02410000000000001,0.0015399999999999997,-0.008100000000000218,-0.1292000000000001,0.025299999999999878,0.0014100000000000015,-0.008100000000000218,0.010000000000000009,0.022199999999999998,0.0018099999999999991,-0.008100000000000218,0.11919999999999997,0.09549999999999992,0.002239999999999999,-0.008100000000000218,0.11969999999999992,0.11019999999999985];
obs_stdev{12}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{12}	=6.109322891740378;
costTotal{12}	=6.109322891740378;
% SimulationKwadraticCostFunction: evaluation 12 : cost = 6.109322891740378
%      cost =6.109322891740378
% Cost is worse! Reducing stepsize.
% Start looking in negative direction
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06383113212254302]
%	TreeVector TRIAD.cutfr [2.69238692634239]
% ========================================================================
% no13
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{13}	=[0.06434572854597473,2.683170346604559];
predicted{13}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02594,2.0081,1.1872,1.563,0.02546,2.0081,1.0699,1.486,0.02359,2.0081,0.9768,1.4063,0.02218,2.0081,0.9216,1.3271,0.02175,2.0081,0.899,1.2784];
observed{13}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{13}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.20020000000000004,0.02400000000000002,0.0015399999999999997,-0.008100000000000218,-0.13090000000000013,0.02499999999999991,0.0014100000000000015,-0.008100000000000218,0.008199999999999985,0.02169999999999983,0.0018200000000000022,-0.008100000000000218,0.11739999999999995,0.09489999999999998,0.002250000000000002,-0.008100000000000218,0.11799999999999988,0.10959999999999992];
obs_stdev{13}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{13}	=6.1293830449165245;
costTotal{13}	=6.1293830449165245;
% SimulationKwadraticCostFunction: evaluation 13 : cost = 6.1293830449165245
%      cost =6.1293830449165245
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06434572854597473]
%	TreeVector TRIAD.cutfr [2.683170346604559]
% ========================================================================
% no14
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{14}	=[0.06408843033425887,2.687778636473474];
predicted{14}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.185,1.5625,0.02546,2.0081,1.0688,1.4857,0.02359,2.0081,0.9756,1.4059,0.02219,2.0081,0.9205,1.3266,0.02176,2.0081,0.898,1.2779];
observed{14}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{14}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19800000000000006,0.024499999999999966,0.0015399999999999997,-0.008100000000000218,-0.12980000000000003,0.025299999999999878,0.0014100000000000015,-0.008100000000000218,0.009399999999999964,0.02210000000000001,0.0018099999999999991,-0.008100000000000218,0.11849999999999994,0.09539999999999993,0.002239999999999999,-0.008100000000000218,0.11899999999999988,0.11009999999999986];
obs_stdev{14}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{14}	=6.090671366268873;
costTotal{14}	=6.090671366268873;
% SimulationKwadraticCostFunction: evaluation 14 : cost = 6.090671366268873
%      cost =6.090671366268873
% Error estimate for this outer iteration
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
parameterErrorEstimateStd{3}	=[0.06761353892975705,0.9451493955801695];
parameterErrorCorrelations{3}	=[1.0,-0.9877699528749084;-0.9877699528749084,1.0000000000000002];
% Application starting next step
% ======================================================
% DUD outer iteration no.4
% ======================================================
% -----------------------------------------------------
costs{4}	=[6.090671366268873,6.092809936373415,6.585435914632653];
% -----------------------------------------------------
% Start search until improvement,
% % Reducing stepsize! Relative step was:[-899.2049282822887,-4.666333638717372]
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06331319961528885]
%	TreeVector TRIAD.cutfr [2.7085442864097864] , delta_p= TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [-7.752307189700274E-4]
%	TreeVector TRIAD.cutfr [0.02076564993631223]
% ========================================================================
% no15
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{15}	=[0.06331319961528885,2.7085442864097864];
predicted{15}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3358,1.6616,0.02595,2.0081,1.1857,1.5633,0.02546,2.0081,1.0686,1.4863,0.02359,2.0081,0.9758,1.4066,0.02218,2.0081,0.9207,1.3275,0.02175,2.0081,0.8981,1.2788];
observed{15}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{15}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023800000000000043,0.006399999999999961,0.0010499999999999989,-0.008100000000000218,-0.1987,0.023700000000000054,0.0015399999999999997,-0.008100000000000218,-0.12960000000000005,0.024699999999999944,0.0014100000000000015,-0.008100000000000218,0.009199999999999986,0.021399999999999864,0.0018200000000000022,-0.008100000000000218,0.11829999999999996,0.09450000000000003,0.002250000000000002,-0.008100000000000218,0.1188999999999999,0.10919999999999996];
obs_stdev{15}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{15}	=6.094092513571495;
costTotal{15}	=6.094092513571495;
% SimulationKwadraticCostFunction: evaluation 15 : cost = 6.094092513571495
%      cost =6.094092513571495
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06331319961528885]
%	TreeVector TRIAD.cutfr [2.7085442864097864]
% ========================================================================
% no16
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{16}	=[0.06447604569374389,2.6773958115053182];
predicted{16}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.187,1.5629,0.02546,2.0081,1.0698,1.4858,0.02359,2.0081,0.9765,1.4061,0.02218,2.0081,0.9214,1.3269,0.02176,2.0081,0.8988,1.2782];
observed{16}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{16}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.20000000000000007,0.02410000000000001,0.0015399999999999997,-0.008100000000000218,-0.13080000000000014,0.02519999999999989,0.0014100000000000015,-0.008100000000000218,0.008499999999999952,0.02190000000000003,0.0018200000000000022,-0.008100000000000218,0.11759999999999993,0.09509999999999996,0.002239999999999999,-0.008100000000000218,0.11819999999999986,0.1097999999999999];
obs_stdev{16}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{16}	=6.125772542417581;
costTotal{16}	=6.125772542417581;
% SimulationKwadraticCostFunction: evaluation 16 : cost = 6.125772542417581
%      cost =6.125772542417581
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06447604569374389]
%	TreeVector TRIAD.cutfr [2.6773958115053182]
% ========================================================================
% no17
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{17}	=[0.06389462265451637,2.692970048957552];
predicted{17}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3358,1.6615,0.02595,2.0081,1.1854,1.5628,0.02546,2.0081,1.068,1.4856,0.0236,2.0081,0.9748,1.4056,0.02219,2.0081,0.9197,1.3263,0.02176,2.0081,0.8972,1.2777];
observed{17}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{17}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023800000000000043,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19840000000000002,0.0242,0.0015399999999999997,-0.008100000000000218,-0.12900000000000011,0.025399999999999867,0.001400000000000002,-0.008100000000000218,0.010199999999999987,0.022399999999999975,0.0018099999999999991,-0.008100000000000218,0.11929999999999996,0.0956999999999999,0.002239999999999999,-0.008100000000000218,0.1197999999999999,0.11029999999999984];
obs_stdev{17}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{17}	=6.106523525263253;
costTotal{17}	=6.106523525263253;
% SimulationKwadraticCostFunction: evaluation 17 : cost = 6.106523525263253
%      cost =6.106523525263253
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06389462265451637]
%	TreeVector TRIAD.cutfr [2.692970048957552]
% ========================================================================
% no18
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{18}	=[0.06418533417413012,2.685182930231435];
predicted{18}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1848,1.5624,0.02546,2.0081,1.0684,1.4855,0.02359,2.0081,0.9754,1.4056,0.02219,2.0081,0.9203,1.3263,0.02176,2.0081,0.8977,1.2776];
observed{18}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{18}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.1978000000000001,0.024599999999999955,0.0015399999999999997,-0.008100000000000218,-0.12940000000000007,0.025499999999999856,0.0014100000000000015,-0.008100000000000218,0.009599999999999942,0.022399999999999975,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.0956999999999999,0.002239999999999999,-0.008100000000000218,0.11929999999999985,0.11039999999999983];
obs_stdev{18}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{18}	=6.090359821329305;
costTotal{18}	=6.090359821329305;
% SimulationKwadraticCostFunction: evaluation 18 : cost = 6.090359821329305
%      cost =6.090359821329305
% Error estimate for this outer iteration
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
parameterErrorEstimateStd{4}	=[0.04418716480723814,1.1717890832529128];
parameterErrorCorrelations{4}	=[1.0,-0.9891883575323678;-0.9891883575323599,1.0];
% Application starting next step
% ======================================================
% DUD outer iteration no.5
% ======================================================
% -----------------------------------------------------
costs{5}	=[6.090359821329305,6.090671366268873,6.092809936373415];
% -----------------------------------------------------
% Start search until improvement,
% % Reducing stepsize! Relative step was:[883.9059397939234,-2254.9778778474765]
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06391686831968751]
%	TreeVector TRIAD.cutfr [2.6847614800443336] , delta_p= TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [-2.6846585444260593E-4]
%	TreeVector TRIAD.cutfr [-4.2145018710168167E-4]
% ========================================================================
% no19
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{19}	=[0.06391686831968751,2.6847614800443336];
predicted{19}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3358,1.6615,0.02594,2.0081,1.188,1.5636,0.02545,2.0081,1.0708,1.4867,0.02358,2.0081,0.9777,1.4071,0.02218,2.0081,0.9225,1.328,0.02175,2.0081,0.8999,1.2793];
observed{19}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{19}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023800000000000043,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.20099999999999996,0.023399999999999865,0.0015499999999999993,-0.008100000000000218,-0.13180000000000003,0.02429999999999999,0.0014200000000000011,-0.008100000000000218,0.007299999999999973,0.02089999999999992,0.0018200000000000022,-0.008100000000000218,0.11649999999999994,0.09399999999999986,0.002250000000000002,-0.008100000000000218,0.11709999999999987,0.1086999999999998];
obs_stdev{19}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{19}	=6.131628504264265;
costTotal{19}	=6.131628504264265;
% SimulationKwadraticCostFunction: evaluation 19 : cost = 6.131628504264265
%      cost =6.131628504264265
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06391686831968751]
%	TreeVector TRIAD.cutfr [2.6847614800443336]
% ========================================================================
% no20
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{20}	=[0.06431956710135142,2.685393655324986];
predicted{20}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1846,1.5622,0.02546,2.0081,1.0683,1.4853,0.02359,2.0081,0.9751,1.4054,0.02219,2.0081,0.92,1.3261,0.02176,2.0081,0.8975,1.2774];
observed{20}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{20}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.1976000000000001,0.024799999999999933,0.0015399999999999997,-0.008100000000000218,-0.12930000000000008,0.025699999999999834,0.0014100000000000015,-0.008100000000000218,0.00990000000000002,0.022599999999999953,0.0018099999999999991,-0.008100000000000218,0.11899999999999988,0.09589999999999987,0.002239999999999999,-0.008100000000000218,0.11949999999999994,0.11059999999999981];
obs_stdev{20}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{20}	=6.093482865780052;
costTotal{20}	=6.093482865780052;
% SimulationKwadraticCostFunction: evaluation 20 : cost = 6.093482865780052
%      cost =6.093482865780052
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06431956710135142]
%	TreeVector TRIAD.cutfr [2.685393655324986]
% ========================================================================
% no21
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{21}	=[0.06411821771051947,2.68507756768466];
predicted{21}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02594,2.0081,1.1876,1.5633,0.02546,2.0081,1.0704,1.4864,0.02358,2.0081,0.9773,1.4067,0.02218,2.0081,0.9221,1.3276,0.02175,2.0081,0.8995,1.2789];
observed{21}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{21}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.2006,0.023700000000000054,0.0015399999999999997,-0.008100000000000218,-0.13140000000000007,0.024599999999999955,0.0014200000000000011,-0.008100000000000218,0.00770000000000004,0.021299999999999875,0.0018200000000000022,-0.008100000000000218,0.11689999999999989,0.09440000000000004,0.002250000000000002,-0.008100000000000218,0.11749999999999994,0.10909999999999997];
obs_stdev{21}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{21}	=6.129466013002742;
costTotal{21}	=6.129466013002742;
% SimulationKwadraticCostFunction: evaluation 21 : cost = 6.129466013002742
%      cost =6.129466013002742
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06411821771051947]
%	TreeVector TRIAD.cutfr [2.68507756768466]
% ========================================================================
% no22
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{22}	=[0.06421889240593545,2.685235611504823];
predicted{22}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1848,1.5624,0.02546,2.0081,1.0683,1.4854,0.0236,2.0081,0.9748,1.4053,0.02219,2.0081,0.9196,1.326,0.02176,2.0081,0.8971,1.2773];
observed{22}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{22}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.1978000000000001,0.024599999999999955,0.0015399999999999997,-0.008100000000000218,-0.12930000000000008,0.025599999999999845,0.001400000000000002,-0.008100000000000218,0.010199999999999987,0.022699999999999942,0.0018099999999999991,-0.008100000000000218,0.11939999999999995,0.09599999999999986,0.002239999999999999,-0.008100000000000218,0.1198999999999999,0.1106999999999998];
obs_stdev{22}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{22}	=6.105501942360631;
costTotal{22}	=6.105501942360631;
% SimulationKwadraticCostFunction: evaluation 22 : cost = 6.105501942360631
%      cost =6.105501942360631
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06421889240593545]
%	TreeVector TRIAD.cutfr [2.685235611504823]
% ========================================================================
% no23
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{23}	=[0.06416855505822747,2.685156589594741];
predicted{23}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1849,1.5624,0.02546,2.0081,1.0684,1.4855,0.02359,2.0081,0.9755,1.4057,0.02219,2.0081,0.9203,1.3264,0.02176,2.0081,0.8978,1.2777];
observed{23}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{23}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19790000000000008,0.024599999999999955,0.0015399999999999997,-0.008100000000000218,-0.12940000000000007,0.025499999999999856,0.0014100000000000015,-0.008100000000000218,0.009499999999999953,0.022299999999999986,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.09559999999999991,0.002239999999999999,-0.008100000000000218,0.11919999999999986,0.11029999999999984];
obs_stdev{23}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{23}	=6.089983969551764;
costTotal{23}	=6.089983969551764;
% SimulationKwadraticCostFunction: evaluation 23 : cost = 6.089983969551764
%      cost =6.089983969551764
% Error estimate for this outer iteration
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
parameterErrorEstimateStd{5}	=[0.029675754200440246,0.3535024829390451];
parameterErrorCorrelations{5}	=[0.9999999999999999,-0.35009570005534923;-0.3500957000553489,0.9999999999999999];
% Application starting next step
% ======================================================
% DUD outer iteration no.6
% ======================================================
% -----------------------------------------------------
costs{6}	=[6.089983969551764,6.090359821329305,6.090671366268873];
% -----------------------------------------------------
% Start search until improvement,
% % Reducing stepsize! Relative step was:[-159.21729696719623,-49.63011901335368]
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.0642505231692187]
%	TreeVector TRIAD.cutfr [2.6767199193218745] , delta_p= TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [8.196811099123137E-5]
%	TreeVector TRIAD.cutfr [-0.008436670272866676]
% ========================================================================
% no24
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{24}	=[0.0642505231692187,2.6767199193218745];
predicted{24}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02594,2.0081,1.1874,1.5631,0.02546,2.0081,1.0703,1.4862,0.02358,2.0081,0.9774,1.4067,0.02218,2.0081,0.9222,1.3275,0.02175,2.0081,0.8996,1.2788];
observed{24}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{24}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.20040000000000002,0.023900000000000032,0.0015399999999999997,-0.008100000000000218,-0.13130000000000008,0.024799999999999933,0.0014200000000000011,-0.008100000000000218,0.00759999999999994,0.021299999999999875,0.0018200000000000022,-0.008100000000000218,0.1167999999999999,0.09450000000000003,0.002250000000000002,-0.008100000000000218,0.11739999999999995,0.10919999999999996];
obs_stdev{24}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{24}	=6.123002166773067;
costTotal{24}	=6.123002166773067;
% SimulationKwadraticCostFunction: evaluation 24 : cost = 6.123002166773067
%      cost =6.123002166773067
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.0642505231692187]
%	TreeVector TRIAD.cutfr [2.6767199193218745]
% ========================================================================
% no25
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{25}	=[0.06412757100273185,2.6893749247311747];
predicted{25}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.185,1.5625,0.02546,2.0081,1.0687,1.4856,0.02359,2.0081,0.9755,1.4057,0.02219,2.0081,0.9203,1.3265,0.02176,2.0081,0.8978,1.2778];
observed{25}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{25}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19800000000000006,0.024499999999999966,0.0015399999999999997,-0.008100000000000218,-0.12970000000000004,0.025399999999999867,0.0014100000000000015,-0.008100000000000218,0.009499999999999953,0.022299999999999986,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.09549999999999992,0.002239999999999999,-0.008100000000000218,0.11919999999999986,0.11019999999999985];
obs_stdev{25}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{25}	=6.095170067819196;
costTotal{25}	=6.095170067819196;
% SimulationKwadraticCostFunction: evaluation 25 : cost = 6.095170067819196
%      cost =6.095170067819196
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06412757100273185]
%	TreeVector TRIAD.cutfr [2.6893749247311747]
% ========================================================================
% no26
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{26}	=[0.06418904708597527,2.6830474220265246];
predicted{26}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02594,2.0081,1.1875,1.5632,0.02546,2.0081,1.0702,1.4862,0.02359,2.0081,0.9771,1.4066,0.02218,2.0081,0.9219,1.3275,0.02175,2.0081,0.8993,1.2788];
observed{26}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{26}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.2005,0.023800000000000043,0.0015399999999999997,-0.008100000000000218,-0.1312000000000001,0.024799999999999933,0.0014100000000000015,-0.008100000000000218,0.007900000000000018,0.021399999999999864,0.0018200000000000022,-0.008100000000000218,0.11709999999999987,0.09450000000000003,0.002250000000000002,-0.008100000000000218,0.11769999999999992,0.10919999999999996];
obs_stdev{26}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{26}	=6.12821653012713;
costTotal{26}	=6.12821653012713;
% SimulationKwadraticCostFunction: evaluation 26 : cost = 6.12821653012713
%      cost =6.12821653012713
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06418904708597527]
%	TreeVector TRIAD.cutfr [2.6830474220265246]
% ========================================================================
% no27
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{27}	=[0.06415830904435356,2.6862111733788496];
predicted{27}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1849,1.5625,0.02546,2.0081,1.0687,1.4856,0.02359,2.0081,0.9755,1.4057,0.02219,2.0081,0.9203,1.3265,0.02176,2.0081,0.8978,1.2778];
observed{27}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{27}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19790000000000008,0.024499999999999966,0.0015399999999999997,-0.008100000000000218,-0.12970000000000004,0.025399999999999867,0.0014100000000000015,-0.008100000000000218,0.009499999999999953,0.022299999999999986,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.09549999999999992,0.002239999999999999,-0.008100000000000218,0.11919999999999986,0.11019999999999985];
obs_stdev{27}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{27}	=6.09313807959025;
costTotal{27}	=6.09313807959025;
% SimulationKwadraticCostFunction: evaluation 27 : cost = 6.09313807959025
%      cost =6.09313807959025
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06415830904435356]
%	TreeVector TRIAD.cutfr [2.6862111733788496]
% ========================================================================
% no28
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{28}	=[0.06417367806516441,2.684629297702687];
predicted{28}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02594,2.0081,1.1875,1.5632,0.02546,2.0081,1.0703,1.4863,0.02359,2.0081,0.9772,1.4066,0.02218,2.0081,0.9219,1.3275,0.02175,2.0081,0.8994,1.2788];
observed{28}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{28}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.2005,0.023800000000000043,0.0015399999999999997,-0.008100000000000218,-0.13130000000000008,0.024699999999999944,0.0014100000000000015,-0.008100000000000218,0.007800000000000029,0.021399999999999864,0.0018200000000000022,-0.008100000000000218,0.11709999999999987,0.09450000000000003,0.002250000000000002,-0.008100000000000218,0.11759999999999993,0.10919999999999996];
obs_stdev{28}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{28}	=6.12837828653808;
costTotal{28}	=6.12837828653808;
% SimulationKwadraticCostFunction: evaluation 28 : cost = 6.12837828653808
%      cost =6.12837828653808
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06417367806516441]
%	TreeVector TRIAD.cutfr [2.684629297702687]
% ========================================================================
% no29
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{29}	=[0.064165993554759,2.6854202355407684];
predicted{29}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1849,1.5624,0.02546,2.0081,1.0684,1.4855,0.0236,2.0081,0.9749,1.4054,0.02219,2.0081,0.9197,1.3261,0.02176,2.0081,0.8972,1.2774];
observed{29}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{29}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19790000000000008,0.024599999999999955,0.0015399999999999997,-0.008100000000000218,-0.12940000000000007,0.025499999999999856,0.001400000000000002,-0.008100000000000218,0.010099999999999998,0.022599999999999953,0.0018099999999999991,-0.008100000000000218,0.11929999999999996,0.09589999999999987,0.002239999999999999,-0.008100000000000218,0.1197999999999999,0.11059999999999981];
obs_stdev{29}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{29}	=6.105359119558411;
costTotal{29}	=6.105359119558411;
% SimulationKwadraticCostFunction: evaluation 29 : cost = 6.105359119558411
%      cost =6.105359119558411
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.064165993554759]
%	TreeVector TRIAD.cutfr [2.6854202355407684]
% ========================================================================
% no30
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{30}	=[0.0641698358099617,2.6850247666217277];
predicted{30}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02594,2.0081,1.1875,1.5632,0.02546,2.0081,1.0703,1.4863,0.02359,2.0081,0.9772,1.4066,0.02218,2.0081,0.922,1.3275,0.02175,2.0081,0.8994,1.2788];
observed{30}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{30}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.2005,0.023800000000000043,0.0015399999999999997,-0.008100000000000218,-0.13130000000000008,0.024699999999999944,0.0014100000000000015,-0.008100000000000218,0.007800000000000029,0.021399999999999864,0.0018200000000000022,-0.008100000000000218,0.11699999999999988,0.09450000000000003,0.002250000000000002,-0.008100000000000218,0.11759999999999993,0.10919999999999996];
obs_stdev{30}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{30}	=6.127294009377085;
costTotal{30}	=6.127294009377085;
% SimulationKwadraticCostFunction: evaluation 30 : cost = 6.127294009377085
%      cost =6.127294009377085
% Error estimate for this outer iteration
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
parameterErrorEstimateStd{6}	=[0.013381368209067568,0.531388160578952];
parameterErrorCorrelations{6}	=[0.9999999999999998,-0.7939913305667012;-0.7939913305667012,1.0000000000000002];
% Application starting next step
% ======================================================
% DUD outer iteration no.7
% ======================================================
% -----------------------------------------------------
costs{7}	=[6.089983969551764,6.090359821329305,6.127294009377085];
% -----------------------------------------------------
% Start search until improvement,
% % Reducing stepsize! Relative step was:[-840.3228442800101,-45.6041828186453]
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.0640000688373371]
%	TreeVector TRIAD.cutfr [2.6849647233388656] , delta_p= TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [-1.6848622089036457E-4]
%	TreeVector TRIAD.cutfr [-1.91866255875737E-4]
% ========================================================================
% no31
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{31}	=[0.0640000688373371,2.6849647233388656];
predicted{31}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3358,1.6615,0.02594,2.0081,1.1878,1.5635,0.02546,2.0081,1.0707,1.4865,0.02358,2.0081,0.9775,1.4069,0.02218,2.0081,0.9223,1.3278,0.02175,2.0081,0.8997,1.2791];
observed{31}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{31}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023800000000000043,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.20079999999999998,0.023500000000000076,0.0015399999999999997,-0.008100000000000218,-0.13170000000000004,0.024499999999999966,0.0014200000000000011,-0.008100000000000218,0.007499999999999951,0.021099999999999897,0.0018200000000000022,-0.008100000000000218,0.11669999999999991,0.09419999999999984,0.002250000000000002,-0.008100000000000218,0.11729999999999985,0.1089];
obs_stdev{31}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{31}	=6.131042457599085;
costTotal{31}	=6.131042457599085;
% SimulationKwadraticCostFunction: evaluation 31 : cost = 6.131042457599085
%      cost =6.131042457599085
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.0640000688373371]
%	TreeVector TRIAD.cutfr [2.6849647233388656]
% ========================================================================
% no32
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{32}	=[0.06425279816867265,2.685252522722679];
predicted{32}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1847,1.5623,0.02546,2.0081,1.0682,1.4853,0.0236,2.0081,0.9747,1.4053,0.02219,2.0081,0.9196,1.326,0.02177,2.0081,0.8971,1.2773];
observed{32}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{32}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.1977000000000001,0.024699999999999944,0.0015399999999999997,-0.008100000000000218,-0.1292000000000001,0.025699999999999834,0.001400000000000002,-0.008100000000000218,0.010299999999999976,0.022699999999999942,0.0018099999999999991,-0.008100000000000218,0.11939999999999995,0.09599999999999986,0.0022299999999999993,-0.008100000000000218,0.1198999999999999,0.1106999999999998];
obs_stdev{32}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{32}	=6.098441780630878;
costTotal{32}	=6.098441780630878;
% SimulationKwadraticCostFunction: evaluation 32 : cost = 6.098441780630878
%      cost =6.098441780630878
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06425279816867265]
%	TreeVector TRIAD.cutfr [2.685252522722679]
% ========================================================================
% no33
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{33}	=[0.06412643350300487,2.6851086230307724];
predicted{33}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02594,2.0081,1.1876,1.5633,0.02546,2.0081,1.0704,1.4863,0.02358,2.0081,0.9773,1.4067,0.02218,2.0081,0.922,1.3276,0.02175,2.0081,0.8995,1.2789];
observed{33}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{33}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.2006,0.023700000000000054,0.0015399999999999997,-0.008100000000000218,-0.13140000000000007,0.024699999999999944,0.0014200000000000011,-0.008100000000000218,0.00770000000000004,0.021299999999999875,0.0018200000000000022,-0.008100000000000218,0.11699999999999988,0.09440000000000004,0.002250000000000002,-0.008100000000000218,0.11749999999999994,0.10909999999999997];
obs_stdev{33}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{33}	=6.130657330068226;
costTotal{33}	=6.130657330068226;
% SimulationKwadraticCostFunction: evaluation 33 : cost = 6.130657330068226
%      cost =6.130657330068226
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06412643350300487]
%	TreeVector TRIAD.cutfr [2.6851086230307724]
% ========================================================================
% no34
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{34}	=[0.06418961583583876,2.6851805728767255];
predicted{34}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1848,1.5624,0.02546,2.0081,1.0683,1.4855,0.02359,2.0081,0.9754,1.4056,0.02219,2.0081,0.9202,1.3263,0.02176,2.0081,0.8977,1.2776];
observed{34}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{34}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.1978000000000001,0.024599999999999955,0.0015399999999999997,-0.008100000000000218,-0.12930000000000008,0.025499999999999856,0.0014100000000000015,-0.008100000000000218,0.009599999999999942,0.022399999999999975,0.0018099999999999991,-0.008100000000000218,0.1187999999999999,0.0956999999999999,0.002239999999999999,-0.008100000000000218,0.11929999999999985,0.11039999999999983];
obs_stdev{34}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{34}	=6.089992828914213;
costTotal{34}	=6.089992828914213;
% SimulationKwadraticCostFunction: evaluation 34 : cost = 6.089992828914213
%      cost =6.089992828914213
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06418961583583876]
%	TreeVector TRIAD.cutfr [2.6851805728767255]
% ========================================================================
% no35
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{35}	=[0.06415802466942182,2.685144597953749];
predicted{35}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1849,1.5625,0.02546,2.0081,1.0684,1.4855,0.02359,2.0081,0.9755,1.4057,0.02219,2.0081,0.9203,1.3264,0.02176,2.0081,0.8978,1.2777];
observed{35}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{35}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19790000000000008,0.024499999999999966,0.0015399999999999997,-0.008100000000000218,-0.12940000000000007,0.025499999999999856,0.0014100000000000015,-0.008100000000000218,0.009499999999999953,0.022299999999999986,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.09559999999999991,0.002239999999999999,-0.008100000000000218,0.11919999999999986,0.11029999999999984];
obs_stdev{35}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{35}	=6.089886493567314;
costTotal{35}	=6.089886493567314;
% SimulationKwadraticCostFunction: evaluation 35 : cost = 6.089886493567314
%      cost =6.089886493567314
% Error estimate for this outer iteration
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
parameterErrorEstimateStd{7}	=[0.012104086980552238,0.015931136158378836];
parameterErrorCorrelations{7}	=[1.0000000000000002,0.9837720765340524;0.9837720765340539,1.0];
% Application starting next step
% ======================================================
% DUD outer iteration no.8
% ======================================================
% -----------------------------------------------------
costs{8}	=[6.089886493567314,6.089983969551764,6.090359821329305];
% -----------------------------------------------------
% Start search until improvement,
% % Reducing stepsize! Relative step was:[-162.49474594178483,-82.50525405824195]
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06391405921350327]
%	TreeVector TRIAD.cutfr [2.684830052831938] , delta_p= TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [-2.4396545591855338E-4]
%	TreeVector TRIAD.cutfr [-3.1454512181068654E-4]
% ========================================================================
% no36
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{36}	=[0.06391405921350327,2.684830052831938];
predicted{36}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3358,1.6615,0.02594,2.0081,1.188,1.5636,0.02545,2.0081,1.0709,1.4867,0.02358,2.0081,0.9777,1.4071,0.02218,2.0081,0.9225,1.328,0.02175,2.0081,0.8999,1.2793];
observed{36}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{36}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023800000000000043,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.20099999999999996,0.023399999999999865,0.0015499999999999993,-0.008100000000000218,-0.13190000000000002,0.02429999999999999,0.0014200000000000011,-0.008100000000000218,0.007299999999999973,0.02089999999999992,0.0018200000000000022,-0.008100000000000218,0.11649999999999994,0.09399999999999986,0.002250000000000002,-0.008100000000000218,0.11709999999999987,0.1086999999999998];
obs_stdev{36}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{36}	=6.1331238752044;
costTotal{36}	=6.1331238752044;
% SimulationKwadraticCostFunction: evaluation 36 : cost = 6.1331238752044
%      cost =6.1331238752044
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06391405921350327]
%	TreeVector TRIAD.cutfr [2.684830052831938]
% ========================================================================
% no37
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{37}	=[0.0642800073973811,2.685301870514654];
predicted{37}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1847,1.5623,0.02546,2.0081,1.0681,1.4853,0.0236,2.0081,0.9746,1.4052,0.02219,2.0081,0.9195,1.3259,0.02177,2.0081,0.897,1.2772];
observed{37}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{37}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.1977000000000001,0.024699999999999944,0.0015399999999999997,-0.008100000000000218,-0.1291000000000001,0.025699999999999834,0.001400000000000002,-0.008100000000000218,0.010399999999999965,0.02279999999999993,0.0018099999999999991,-0.008100000000000218,0.11949999999999994,0.09609999999999985,0.0022299999999999993,-0.008100000000000218,0.11999999999999988,0.11080000000000001];
obs_stdev{37}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{37}	=6.100511383781367;
costTotal{37}	=6.100511383781367;
% SimulationKwadraticCostFunction: evaluation 37 : cost = 6.100511383781367
%      cost =6.100511383781367
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.0642800073973811]
%	TreeVector TRIAD.cutfr [2.685301870514654]
% ========================================================================
% no38
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{38}	=[0.06409703330544218,2.6850659616732964];
predicted{38}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02594,2.0081,1.1876,1.5633,0.02546,2.0081,1.0704,1.4864,0.02358,2.0081,0.9773,1.4068,0.02218,2.0081,0.9221,1.3276,0.02175,2.0081,0.8995,1.2789];
observed{38}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{38}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.2006,0.023700000000000054,0.0015399999999999997,-0.008100000000000218,-0.13140000000000007,0.024599999999999955,0.0014200000000000011,-0.008100000000000218,0.00770000000000004,0.021199999999999886,0.0018200000000000022,-0.008100000000000218,0.11689999999999989,0.09440000000000004,0.002250000000000002,-0.008100000000000218,0.11749999999999994,0.10909999999999997];
obs_stdev{38}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{38}	=6.12936180465584;
costTotal{38}	=6.12936180465584;
% SimulationKwadraticCostFunction: evaluation 38 : cost = 6.12936180465584
%      cost =6.12936180465584
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06409703330544218]
%	TreeVector TRIAD.cutfr [2.6850659616732964]
% ========================================================================
% no39
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{39}	=[0.06418852035141163,2.685183916093975];
predicted{39}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1848,1.5624,0.02546,2.0081,1.0684,1.4855,0.02359,2.0081,0.9754,1.4056,0.02219,2.0081,0.9202,1.3263,0.02176,2.0081,0.8977,1.2776];
observed{39}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{39}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.1978000000000001,0.024599999999999955,0.0015399999999999997,-0.008100000000000218,-0.12940000000000007,0.025499999999999856,0.0014100000000000015,-0.008100000000000218,0.009599999999999942,0.022399999999999975,0.0018099999999999991,-0.008100000000000218,0.1187999999999999,0.0956999999999999,0.002239999999999999,-0.008100000000000218,0.11929999999999985,0.11039999999999983];
obs_stdev{39}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{39}	=6.091459846214981;
costTotal{39}	=6.091459846214981;
% SimulationKwadraticCostFunction: evaluation 39 : cost = 6.091459846214981
%      cost =6.091459846214981
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06418852035141163]
%	TreeVector TRIAD.cutfr [2.685183916093975]
% ========================================================================
% no40
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{40}	=[0.06414277682842691,2.685124938883636];
predicted{40}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1849,1.5625,0.02546,2.0081,1.0685,1.4855,0.02359,2.0081,0.9755,1.4057,0.02219,2.0081,0.9203,1.3264,0.02176,2.0081,0.8978,1.2777];
observed{40}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{40}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19790000000000008,0.024499999999999966,0.0015399999999999997,-0.008100000000000218,-0.12950000000000006,0.025499999999999856,0.0014100000000000015,-0.008100000000000218,0.009499999999999953,0.022299999999999986,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.09559999999999991,0.002239999999999999,-0.008100000000000218,0.11919999999999986,0.11029999999999984];
obs_stdev{40}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{40}	=6.091354645013656;
costTotal{40}	=6.091354645013656;
% SimulationKwadraticCostFunction: evaluation 40 : cost = 6.091354645013656
%      cost =6.091354645013656
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06414277682842691]
%	TreeVector TRIAD.cutfr [2.685124938883636]
% ========================================================================
% no41
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{41}	=[0.06416564858991927,2.6851544274888055];
predicted{41}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1849,1.5624,0.02546,2.0081,1.0684,1.4855,0.02359,2.0081,0.9755,1.4057,0.02219,2.0081,0.9203,1.3264,0.02176,2.0081,0.8978,1.2777];
observed{41}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{41}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19790000000000008,0.024599999999999955,0.0015399999999999997,-0.008100000000000218,-0.12940000000000007,0.025499999999999856,0.0014100000000000015,-0.008100000000000218,0.009499999999999953,0.022299999999999986,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.09559999999999991,0.002239999999999999,-0.008100000000000218,0.11919999999999986,0.11029999999999984];
obs_stdev{41}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{41}	=6.089983969551764;
costTotal{41}	=6.089983969551764;
% SimulationKwadraticCostFunction: evaluation 41 : cost = 6.089983969551764
%      cost =6.089983969551764
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06416564858991927]
%	TreeVector TRIAD.cutfr [2.6851544274888055]
% ========================================================================
% no42
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{42}	=[0.06415421270917308,2.6851396831862204];
predicted{42}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1849,1.5625,0.02546,2.0081,1.0684,1.4855,0.02359,2.0081,0.9755,1.4057,0.02219,2.0081,0.9203,1.3264,0.02176,2.0081,0.8978,1.2777];
observed{42}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{42}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19790000000000008,0.024499999999999966,0.0015399999999999997,-0.008100000000000218,-0.12940000000000007,0.025499999999999856,0.0014100000000000015,-0.008100000000000218,0.009499999999999953,0.022299999999999986,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.09559999999999991,0.002239999999999999,-0.008100000000000218,0.11919999999999986,0.11029999999999984];
obs_stdev{42}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{42}	=6.089886493567314;
costTotal{42}	=6.089886493567314;
% SimulationKwadraticCostFunction: evaluation 42 : cost = 6.089886493567314
%      cost =6.089886493567314
% Error estimate for this outer iteration
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
parameterErrorEstimateStd{8}	=[0.01847859439103427,0.022702379809070874];
parameterErrorCorrelations{8}	=[0.9999999999999998,0.9907895235467626;0.9907895235467626,1.0];
% Application starting next step
% ======================================================
% DUD outer iteration no.9
% ======================================================
% -----------------------------------------------------
costs{9}	=[6.089886493567314,6.089886493567314,6.089983969551764];
% -----------------------------------------------------
% Start search until improvement,
% % Reducing stepsize! Relative step was:[0.0,-245.00000000002666]
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06405272078136533]
%	TreeVector TRIAD.cutfr [2.685024681543827] , delta_p= TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [-1.0530388805649049E-4]
%	TreeVector TRIAD.cutfr [-1.1991640992192742E-4]
% ========================================================================
% no43
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{43}	=[0.06405272078136533,2.685024681543827];
predicted{43}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02594,2.0081,1.1877,1.5634,0.02546,2.0081,1.0705,1.4865,0.02358,2.0081,0.9774,1.4068,0.02218,2.0081,0.9222,1.3277,0.02175,2.0081,0.8996,1.279];
observed{43}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{43}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.2007,0.023600000000000065,0.0015399999999999997,-0.008100000000000218,-0.13150000000000006,0.024499999999999966,0.0014200000000000011,-0.008100000000000218,0.00759999999999994,0.021199999999999886,0.0018200000000000022,-0.008100000000000218,0.1167999999999999,0.09429999999999983,0.002250000000000002,-0.008100000000000218,0.11739999999999995,0.10899999999999999];
obs_stdev{43}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{43}	=6.129381440274001;
costTotal{43}	=6.129381440274001;
% SimulationKwadraticCostFunction: evaluation 43 : cost = 6.129381440274001
%      cost =6.129381440274001
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06405272078136533]
%	TreeVector TRIAD.cutfr [2.685024681543827]
% ========================================================================
% no44
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{44}	=[0.06421067661345006,2.68520455615871];
predicted{44}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1848,1.5624,0.02546,2.0081,1.0683,1.4854,0.0236,2.0081,0.9748,1.4054,0.02219,2.0081,0.9196,1.326,0.02176,2.0081,0.8972,1.2774];
observed{44}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{44}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.1978000000000001,0.024599999999999955,0.0015399999999999997,-0.008100000000000218,-0.12930000000000008,0.025599999999999845,0.001400000000000002,-0.008100000000000218,0.010199999999999987,0.022599999999999953,0.0018099999999999991,-0.008100000000000218,0.11939999999999995,0.09599999999999986,0.002239999999999999,-0.008100000000000218,0.1197999999999999,0.11059999999999981];
obs_stdev{44}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{44}	=6.103657757011482;
costTotal{44}	=6.103657757011482;
% SimulationKwadraticCostFunction: evaluation 44 : cost = 6.103657757011482
%      cost =6.103657757011482
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06421067661345006]
%	TreeVector TRIAD.cutfr [2.68520455615871]
% ========================================================================
% no45
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{45}	=[0.0641316986974077,2.6851146188512685];
predicted{45}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02594,2.0081,1.1876,1.5633,0.02546,2.0081,1.0704,1.4863,0.02358,2.0081,0.9773,1.4067,0.02218,2.0081,0.922,1.3276,0.02175,2.0081,0.8994,1.2789];
observed{45}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{45}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010599999999999984,-0.008100000000000218,-0.2006,0.023700000000000054,0.0015399999999999997,-0.008100000000000218,-0.13140000000000007,0.024699999999999944,0.0014200000000000011,-0.008100000000000218,0.00770000000000004,0.021299999999999875,0.0018200000000000022,-0.008100000000000218,0.11699999999999988,0.09440000000000004,0.002250000000000002,-0.008100000000000218,0.11759999999999993,0.10909999999999997];
obs_stdev{45}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{45}	=6.131793859573005;
costTotal{45}	=6.131793859573005;
% SimulationKwadraticCostFunction: evaluation 45 : cost = 6.131793859573005
%      cost =6.131793859573005
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.0641316986974077]
%	TreeVector TRIAD.cutfr [2.6851146188512685]
% ========================================================================
% no46
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{46}	=[0.06417118765542888,2.685159587504989];
predicted{46}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1849,1.5624,0.02546,2.0081,1.0684,1.4855,0.02359,2.0081,0.9755,1.4057,0.02219,2.0081,0.9203,1.3264,0.02176,2.0081,0.8978,1.2777];
observed{46}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{46}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19790000000000008,0.024599999999999955,0.0015399999999999997,-0.008100000000000218,-0.12940000000000007,0.025499999999999856,0.0014100000000000015,-0.008100000000000218,0.009499999999999953,0.022299999999999986,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.09559999999999991,0.002239999999999999,-0.008100000000000218,0.11919999999999986,0.11029999999999984];
obs_stdev{46}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{46}	=6.089983969551764;
costTotal{46}	=6.089983969551764;
% SimulationKwadraticCostFunction: evaluation 46 : cost = 6.089983969551764
%      cost =6.089983969551764
% Cost is worse! Reducing stepsize.
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06417118765542888]
%	TreeVector TRIAD.cutfr [2.685159587504989]
% ========================================================================
% no47
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{47}	=[0.06415144317641829,2.685137103178129];
predicted{47}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1849,1.5625,0.02546,2.0081,1.0684,1.4855,0.02359,2.0081,0.9755,1.4057,0.02219,2.0081,0.9203,1.3264,0.02176,2.0081,0.8978,1.2777];
observed{47}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{47}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19790000000000008,0.024499999999999966,0.0015399999999999997,-0.008100000000000218,-0.12940000000000007,0.025499999999999856,0.0014100000000000015,-0.008100000000000218,0.009499999999999953,0.022299999999999986,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.09559999999999991,0.002239999999999999,-0.008100000000000218,0.11919999999999986,0.11029999999999984];
obs_stdev{47}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{47}	=6.089886493567314;
costTotal{47}	=6.089886493567314;
% SimulationKwadraticCostFunction: evaluation 47 : cost = 6.089886493567314
%      cost =6.089886493567314
% Error estimate for this outer iteration
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
parameterErrorEstimateStd{9}	=[0.01671172728359102,0.019030734538192016];
parameterErrorCorrelations{9}	=[0.9999999999999998,1.0;0.9999999999999999,1.0];
% Application starting next step
% ======================================================
% DUD outer iteration no.10
% ======================================================
% -----------------------------------------------------
costs{10}	=[6.089886493567314,6.089886493567314,6.089886493567314];
% -----------------------------------------------------
% Start search until improvement,
% Next try p=TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [0.06415802466942182]
%	TreeVector TRIAD.cutfr [2.685144597953749] , delta_p= TreeVector swan-parameters, SubTreeVectors:
%	TreeVector TRIAD.trfac [-0.0]
%	TreeVector TRIAD.cutfr [-0.0]
% ========================================================================
% no48
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
evaluatedParameters{48}	=[0.06415802466942182,2.685144597953749];
predicted{48}	=[0.02321,2.0081,1.2787,1.6019,0.02279,2.0081,1.2716,1.5964,0.02422,2.0081,1.3357,1.6615,0.02595,2.0081,1.1849,1.5625,0.02546,2.0081,1.0684,1.4855,0.02359,2.0081,0.9755,1.4057,0.02219,2.0081,0.9203,1.3264,0.02176,2.0081,0.8978,1.2777];
observed{48}	=[0.023,2.0,1.265,1.603,0.023,2.0,1.265,1.603,0.025,2.0,1.312,1.668,0.027,2.0,0.987,1.587,0.027,2.0,0.939,1.511,0.025,2.0,0.985,1.428,0.024,2.0,1.039,1.422,0.024,2.0,1.017,1.388];
residuals{48}	=[-2.1000000000000185E-4,-0.008100000000000218,-0.013700000000000045,0.0010999999999998789,2.0999999999999838E-4,-0.008100000000000218,-0.006600000000000161,0.006599999999999939,7.800000000000029E-4,-0.008100000000000218,-0.023700000000000054,0.00649999999999995,0.0010499999999999989,-0.008100000000000218,-0.19790000000000008,0.024499999999999966,0.0015399999999999997,-0.008100000000000218,-0.12940000000000007,0.025499999999999856,0.0014100000000000015,-0.008100000000000218,0.009499999999999953,0.022299999999999986,0.0018099999999999991,-0.008100000000000218,0.11869999999999992,0.09559999999999991,0.002239999999999999,-0.008100000000000218,0.11919999999999986,0.11029999999999984];
obs_stdev{48}	=[0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.0023000000342726706,0.20000000298023224,0.12650000188499688,0.16030000238865613,0.002500000037252903,0.20000000298023224,0.13120000195503234,0.1668000024855137,0.002700000040233135,0.20000000298023224,0.0987000014707446,0.15870000236481427,0.002700000040233135,0.20000000298023224,0.09390000139921903,0.15110000225156545,0.002500000037252903,0.20000000298023224,0.09850000146776437,0.14280000212788582,0.002400000035762787,0.20000000298023224,0.10390000154823065,0.14220000211894512,0.002400000035762787,0.20000000298023224,0.10170000151544809,0.13880000206828116];
costObserved{48}	=6.089886493567314;
costTotal{48}	=6.089886493567314;
% SimulationKwadraticCostFunction: evaluation 48 : cost = 6.089886493567314
%      cost =6.089886493567314
% Error estimate for this outer iteration
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
parameterErrorEstimateStd{10}	=[0.0,0.0];
parameterErrorCorrelations{10}	=[NaN,NaN;NaN,NaN];
% ===================================================================
% SimulationKwadraticCostfunction:
% number of evaluations
% n = 48
% all cost values
% costs = [8.640480586480448,7.739612005289244,6.635494326667225,8.943971861473912,6.762441731279632,6.585435914632653,6.092809936373415,6.153998100147772,6.143297999298804,6.105368276921297,...,6.091459846214981,6.091354645013656,6.089983969551764,6.089886493567314,6.129381440274001,6.103657757011482,6.131793859573005,6.089983969551764,6.089886493567314,6.089886493567314]
% all parameter values
% parameters=[0.05,0.05500000007450581,0.05,0.10000000074505809,0.07500000037252905,0.06250000018626453,0.06417419640483082,0.058685167888225837,0.06142968214652833,0.06280193927567958,0.06348806784025521,0.06383113212254302,0.06434572854597473,0.06408843033425887,0.06331319961528885,0.06447604569374389,0.06389462265451637,0.06418533417413012,0.06391686831968751,0.06431956710135142,0.06411821771051947,0.06421889240593545,0.06416855505822747,0.0642505231692187,0.06412757100273185,0.06418904708597527,0.06415830904435356,0.06417367806516441,0.064165993554759,0.0641698358099617,0.0640000688373371,0.06425279816867265,0.06412643350300487,0.06418961583583876,0.06415802466942182,0.06391405921350327,0.0642800073973811,0.06409703330544218,0.06418852035141163,0.06414277682842691,0.06416564858991927,0.06415421270917308,0.06405272078136533,0.06421067661345006,0.0641316986974077,0.06417118765542888,0.06415144317641829,0.06415802466942182;2.5,2.5,2.7500000037252903,2.0845203859880943,2.4172601948566923,2.5836300992909913,2.6862425398505025,2.784552723720697,2.7353976317855997,2.710820085818051,2.6985313128342767,2.69238692634239,2.683170346604559,2.687778636473474,2.7085442864097864,2.6773958115053182,2.692970048957552,2.685182930231435,2.6847614800443336,2.685393655324986,2.68507756768466,2.685235611504823,2.685156589594741,2.6767199193218745,2.6893749247311747,2.6830474220265246,2.6862111733788496,2.684629297702687,2.6854202355407684,2.6850247666217277,2.6849647233388656,2.685252522722679,2.6851086230307724,2.6851805728767255,2.685144597953749,2.684830052831938,2.685301870514654,2.6850659616732964,2.685183916093975,2.685124938883636,2.6851544274888055,2.6851396831862204,2.685024681543827,2.68520455615871,2.6851146188512685,2.685159587504989,2.685137103178129,2.685144597953749]
% number of observations
% nobs=32
% best cost
costOpt{1}	=6.089886493567314;
% best parameters
%  swan-parameters: TRIAD.trfac, TRIAD.cutfr
pOpt{1}	=[0.06415802466942182,2.685144597953749];
% ===================================================================
% Application Done
