June 24 2002 10:54:43.768 AM DQED_PRB A set of tests for DQED, which can solve bounded and constrained linear least squares problems and systems of nonlinear equations. Example 0121C Input SIGMA: 1 -0.807000 2 -0.210000E-01 3 -2.37900 4 -3.64000 5 -10.5410 6 -1.96100 7 -51.5510 8 21.0530 Input X: 1 -0.740000E-01 2 -0.733000 3 0.130000E-01 4 -0.340000E-01 5 -3.63200 6 3.63200 7 -0.289000 8 0.289000 Test the partial derivative computation: DPCHEK: Compare user jacobian and function for consistency, using finite differences. Evaluation point X 1 - 4 -7.40000E-02 -7.33000E-01 1.30000E-02 -3.40000E-02 5 - 8 -3.63200E+00 3.63200E+00 -2.89000E-01 2.89000E-01 Numerical derivative 1 - 4 1.00000E+00 0.00000E+00 -3.63200E+00 -2.89000E-01 5 - 8 1.31079E+01 2.09930E+00 -4.70012E+01 -1.14128E+01 (' = Variable number') 1 - 1 1 Analytic partial 1 - 4 1.00000E+00 0.00000E+00 -3.63200E+00 -2.89000E-01 5 - 8 1.31079E+01 2.09930E+00 -4.70012E+01 -1.14128E+01 Numerical derivative 1 - 4 1.00000E+00 0.00000E+00 3.63200E+00 2.89000E-01 5 - 8 1.31079E+01 2.09930E+00 4.70012E+01 1.14128E+01 (' = Variable number') 1 - 1 2 Analytic partial 1 - 4 1.00000E+00 0.00000E+00 3.63200E+00 2.89000E-01 5 - 8 1.31079E+01 2.09930E+00 4.70012E+01 1.14128E+01 Numerical derivative 1 - 4 0.00000E+00 1.00000E+00 2.89000E-01 -3.63200E+00 5 - 8 -2.09930E+00 1.31079E+01 1.14128E+01 -4.70012E+01 (' = Variable number') 1 - 1 3 Analytic partial 1 - 4 0.00000E+00 1.00000E+00 2.89000E-01 -3.63200E+00 5 - 8 -2.09930E+00 1.31079E+01 1.14128E+01 -4.70012E+01 Numerical derivative 1 - 4 0.00000E+00 1.00000E+00 -2.89000E-01 3.63200E+00 5 - 8 -2.09930E+00 1.31079E+01 -1.14128E+01 4.70012E+01 (' = Variable number') 1 - 1 4 Analytic partial 1 - 4 0.00000E+00 1.00000E+00 -2.89000E-01 3.63200E+00 5 - 8 -2.09930E+00 1.31079E+01 -1.14128E+01 4.70012E+01 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -7.40000E-02 1.30000E-02 5 - 8 5.45050E-01 -5.16600E-02 -2.99183E+00 4.51645E-02 (' = Variable number') 1 - 1 5 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -7.40000E-02 1.30000E-02 5 - 8 5.45050E-01 -5.16600E-02 -2.99183E+00 4.51645E-02 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -7.33000E-01 -3.40000E-02 5 - 8 -5.30486E+00 -6.70650E-01 -2.86102E+01 -5.95336E+00 (' = Variable number') 1 - 1 6 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -7.33000E-01 -3.40000E-02 5 - 8 -5.30486E+00 -6.70650E-01 -2.86102E+01 -5.95336E+00 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -1.30000E-02 -7.40000E-02 5 - 8 5.16600E-02 5.45050E-01 -4.51644E-02 -2.99183E+00 (' = Variable number') 1 - 1 7 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -1.30000E-02 -7.40000E-02 5 - 8 5.16600E-02 5.45050E-01 -4.51645E-02 -2.99183E+00 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 3.40000E-02 -7.33000E-01 5 - 8 6.70650E-01 -5.30486E+00 5.95336E+00 -2.86102E+01 (' = Variable number') 1 - 1 8 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 3.40000E-02 -7.33000E-01 5 - 8 6.70650E-01 -5.30486E+00 5.95336E+00 -2.86102E+01 TEST01 Use an analytic jacobian. MODE = 0 Computed minimizing X: -0.692099 -0.114901 0.710964 -0.731964 -0.815740 3.42660 1.18472 -2.33285 Residual after the fit = 0.117140E-05 QED output flag IGO = 7 TEST01 Use an analytic jacobian. MODE = 1 Computed minimizing X: -0.205213E-02 -0.804948 0.109028E-02 -0.220903E-01 2.62744 3.99393 1.39004 -0.455897 Residual after the fit = 8.32802 QED output flag IGO = 8 TEST02 Use an approximate jacobian. MODE = 0 Computed minimizing X: -0.692099 -0.114901 0.710964 -0.731964 -0.815740 3.42660 1.18472 -2.33285 Residual after the fit = 0.754792E-06 QED output flag IGO = 7 TEST02 Use an approximate jacobian. MODE = 1 Computed minimizing X: -0.205253E-02 -0.804947 0.109024E-02 -0.220902E-01 0.117384 4.04992 1.24784 -0.496137 Residual after the fit = 7.39432 QED output flag IGO = 8 Example 0121B Input SIGMA: 1 -0.809000 2 -0.210000E-01 3 -2.04000 4 -0.614000 5 -6.90300 6 -2.93400 7 -26.3280 8 18.6390 Input X: 1 -0.560000E-01 2 -0.753000 3 0.260000E-01 4 -0.470000E-01 5 -2.99100 6 2.99100 7 -0.568000 8 0.568000 Test the partial derivative computation: DPCHEK: Compare user jacobian and function for consistency, using finite differences. Evaluation point X 1 - 4 -5.60000E-02 -7.53000E-01 2.60000E-02 -4.70000E-02 5 - 8 -2.99100E+00 2.99100E+00 -5.68000E-01 5.68000E-01 Numerical derivative 1 - 4 1.00000E+00 0.00000E+00 -2.99100E+00 -5.68000E-01 5 - 8 8.62346E+00 3.39778E+00 -2.38628E+01 -1.50609E+01 (' = Variable number') 1 - 1 1 Analytic partial 1 - 4 1.00000E+00 0.00000E+00 -2.99100E+00 -5.68000E-01 5 - 8 8.62346E+00 3.39778E+00 -2.38628E+01 -1.50609E+01 Numerical derivative 1 - 4 1.00000E+00 0.00000E+00 2.99100E+00 5.68000E-01 5 - 8 8.62346E+00 3.39778E+00 2.38628E+01 1.50609E+01 (' = Variable number') 1 - 1 2 Analytic partial 1 - 4 1.00000E+00 0.00000E+00 2.99100E+00 5.68000E-01 5 - 8 8.62346E+00 3.39778E+00 2.38628E+01 1.50609E+01 Numerical derivative 1 - 4 0.00000E+00 1.00000E+00 5.68000E-01 -2.99100E+00 5 - 8 -3.39778E+00 8.62346E+00 1.50609E+01 -2.38628E+01 (' = Variable number') 1 - 1 3 Analytic partial 1 - 4 0.00000E+00 1.00000E+00 5.68000E-01 -2.99100E+00 5 - 8 -3.39778E+00 8.62346E+00 1.50609E+01 -2.38628E+01 Numerical derivative 1 - 4 0.00000E+00 1.00000E+00 -5.68000E-01 2.99100E+00 5 - 8 -3.39778E+00 8.62346E+00 -1.50609E+01 2.38628E+01 (' = Variable number') 1 - 1 4 Analytic partial 1 - 4 0.00000E+00 1.00000E+00 -5.68000E-01 2.99100E+00 5 - 8 -3.39778E+00 8.62346E+00 -1.50609E+01 2.38628E+01 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -5.60000E-02 2.60000E-02 5 - 8 3.64528E-01 -9.19160E-02 -1.71377E+00 1.01803E-01 (' = Variable number') 1 - 1 5 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -5.60000E-02 2.60000E-02 5 - 8 3.64528E-01 -9.19160E-02 -1.71377E+00 1.01803E-01 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -7.53000E-01 -4.70000E-02 5 - 8 -4.45105E+00 -1.13656E+00 -1.90013E+01 -8.89148E+00 (' = Variable number') 1 - 1 6 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -7.53000E-01 -4.70000E-02 5 - 8 -4.45105E+00 -1.13656E+00 -1.90013E+01 -8.89148E+00 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -2.60000E-02 -5.60000E-02 5 - 8 9.19160E-02 3.64528E-01 -1.01803E-01 -1.71377E+00 (' = Variable number') 1 - 1 7 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -2.60000E-02 -5.60000E-02 5 - 8 9.19160E-02 3.64528E-01 -1.01803E-01 -1.71377E+00 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 4.70000E-02 -7.53000E-01 5 - 8 1.13656E+00 -4.45105E+00 8.89148E+00 -1.90013E+01 (' = Variable number') 1 - 1 8 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 4.70000E-02 -7.53000E-01 5 - 8 1.13656E+00 -4.45105E+00 8.89148E+00 -1.90013E+01 TEST01 Use an analytic jacobian. MODE = 0 Computed minimizing X: 0.903454E-02 -0.818035 -0.445074E-03 -0.205549E-01 2.77343 2.52948 -14.8010 0.522047 Residual after the fit = 0.249114E-08 QED output flag IGO = 2 TEST01 Use an analytic jacobian. MODE = 1 Computed minimizing X: -0.168953 -0.640047 0.249617 -0.270617 -0.804537 2.68682 -5.23723 -0.848855 Residual after the fit = 3.10566 QED output flag IGO = 8 TEST02 Use an approximate jacobian. MODE = 0 Computed minimizing X: 0.903454E-02 -0.818035 -0.445074E-03 -0.205549E-01 2.77343 2.52948 -14.8010 0.522047 Residual after the fit = 0.121503E-12 QED output flag IGO = 2 TEST02 Use an approximate jacobian. MODE = 1 Computed minimizing X: -0.249923 -0.559077 0.157449 -0.178449 -2.23373 3.22729 -2.80271 -0.686177 Residual after the fit = 1.84884 QED output flag IGO = 8 Example 0121A Input SIGMA: 1 -0.816000 2 -0.170000E-01 3 -1.82600 4 -0.754000 5 -4.83900 6 -3.25900 7 -14.0230 8 15.4670 Input X: 1 -0.410000E-01 2 -0.775000 3 0.300000E-01 4 -0.470000E-01 5 -2.56500 6 2.56500 7 -0.754000 8 0.754000 Test the partial derivative computation: DPCHEK: Compare user jacobian and function for consistency, using finite differences. Evaluation point X 1 - 4 -4.10000E-02 -7.75000E-01 3.00000E-02 -4.70000E-02 5 - 8 -2.56500E+00 2.56500E+00 -7.54000E-01 7.54000E-01 Numerical derivative 1 - 4 1.00000E+00 0.00000E+00 -2.56500E+00 -7.54000E-01 5 - 8 6.01071E+00 3.86802E+00 -1.25010E+01 -1.44535E+01 (' = Variable number') 1 - 1 1 Analytic partial 1 - 4 1.00000E+00 0.00000E+00 -2.56500E+00 -7.54000E-01 5 - 8 6.01071E+00 3.86802E+00 -1.25010E+01 -1.44535E+01 Numerical derivative 1 - 4 1.00000E+00 0.00000E+00 2.56500E+00 7.54000E-01 5 - 8 6.01071E+00 3.86802E+00 1.25010E+01 1.44535E+01 (' = Variable number') 1 - 1 2 Analytic partial 1 - 4 1.00000E+00 0.00000E+00 2.56500E+00 7.54000E-01 5 - 8 6.01071E+00 3.86802E+00 1.25010E+01 1.44535E+01 Numerical derivative 1 - 4 0.00000E+00 1.00000E+00 7.54000E-01 -2.56500E+00 5 - 8 -3.86802E+00 6.01071E+00 1.44535E+01 -1.25010E+01 (' = Variable number') 1 - 1 3 Analytic partial 1 - 4 0.00000E+00 1.00000E+00 7.54000E-01 -2.56500E+00 5 - 8 -3.86802E+00 6.01071E+00 1.44535E+01 -1.25010E+01 Numerical derivative 1 - 4 0.00000E+00 1.00000E+00 -7.54000E-01 2.56500E+00 5 - 8 -3.86802E+00 6.01071E+00 -1.44535E+01 1.25010E+01 (' = Variable number') 1 - 1 4 Analytic partial 1 - 4 0.00000E+00 1.00000E+00 -7.54000E-01 2.56500E+00 5 - 8 -3.86802E+00 6.01071E+00 -1.44535E+01 1.25010E+01 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -4.10000E-02 3.00000E-02 5 - 8 2.55570E-01 -9.20720E-02 -1.08744E+00 6.51973E-02 (' = Variable number') 1 - 1 5 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -4.10000E-02 3.00000E-02 5 - 8 2.55570E-01 -9.20720E-02 -1.08744E+00 6.51973E-02 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -7.75000E-01 -4.70000E-02 5 - 8 -3.90487E+00 -1.40981E+00 -1.34295E+01 -9.84066E+00 (' = Variable number') 1 - 1 6 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -7.75000E-01 -4.70000E-02 5 - 8 -3.90487E+00 -1.40981E+00 -1.34295E+01 -9.84066E+00 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -3.00000E-02 -4.10000E-02 5 - 8 9.20720E-02 2.55570E-01 -6.51973E-02 -1.08744E+00 (' = Variable number') 1 - 1 7 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -3.00000E-02 -4.10000E-02 5 - 8 9.20720E-02 2.55570E-01 -6.51973E-02 -1.08744E+00 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 4.70000E-02 -7.75000E-01 5 - 8 1.40981E+00 -3.90487E+00 9.84066E+00 -1.34295E+01 (' = Variable number') 1 - 1 8 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 4.70000E-02 -7.75000E-01 5 - 8 1.40981E+00 -3.90487E+00 9.84066E+00 -1.34295E+01 TEST01 Use an analytic jacobian. MODE = 0 Computed minimizing X: 0.309987E-02 -0.819100 -0.223941E-03 -0.167761E-01 2.68151 2.25022 -20.2417 0.797098 Residual after the fit = 0.162268E-12 QED output flag IGO = 2 TEST01 Use an analytic jacobian. MODE = 1 Computed minimizing X: -0.150826 -0.665174 0.393590E-01 -0.563590E-01 -2.22200 2.67205 -2.83882 -0.827104 Residual after the fit = 4.46141 QED output flag IGO = 8 TEST02 Use an approximate jacobian. MODE = 0 Computed minimizing X: 0.309987E-02 -0.819100 -0.223941E-03 -0.167761E-01 2.68151 2.25022 -20.2417 0.797098 Residual after the fit = 0.129124E-06 QED output flag IGO = 7 TEST02 Use an approximate jacobian. MODE = 1 Computed minimizing X: -0.486099E-01 -0.767390 0.859667E-01 -0.102967 -2.22226 2.42412 -4.89265 -0.385246 Residual after the fit = 8.11642 QED output flag IGO = 8 Example 791226 Input SIGMA: 1 -0.690000 2 -0.440000E-01 3 -1.57000 4 -1.31000 5 -2.65000 6 2.00000 7 -12.6000 8 9.48000 Input X: 1 -0.300000 2 -0.390000 3 0.300000 4 -0.344000 5 -1.20000 6 2.69000 7 1.59000 8 -1.50000 Test the partial derivative computation: DPCHEK: Compare user jacobian and function for consistency, using finite differences. Evaluation point X 1 - 4 -3.00000E-01 -3.90000E-01 3.00000E-01 -3.44000E-01 5 - 8 -1.20000E+00 2.69000E+00 1.59000E+00 -1.50000E+00 Numerical derivative 1 - 4 1.00000E+00 0.00000E+00 -1.20000E+00 1.59000E+00 5 - 8 -1.08810E+00 -3.81600E+00 7.37316E+00 2.84912E+00 (' = Variable number') 1 - 1 1 Analytic partial 1 - 4 1.00000E+00 0.00000E+00 -1.20000E+00 1.59000E+00 5 - 8 -1.08810E+00 -3.81600E+00 7.37316E+00 2.84912E+00 Numerical derivative 1 - 4 1.00000E+00 0.00000E+00 2.69000E+00 -1.50000E+00 5 - 8 4.98610E+00 -8.07000E+00 1.30761E+00 -2.91874E+01 (' = Variable number') 1 - 1 2 Analytic partial 1 - 4 1.00000E+00 0.00000E+00 2.69000E+00 -1.50000E+00 5 - 8 4.98610E+00 -8.07000E+00 1.30761E+00 -2.91874E+01 Numerical derivative 1 - 4 0.00000E+00 1.00000E+00 -1.59000E+00 -1.20000E+00 5 - 8 3.81600E+00 -1.08810E+00 -2.84912E+00 7.37316E+00 (' = Variable number') 1 - 1 3 Analytic partial 1 - 4 0.00000E+00 1.00000E+00 -1.59000E+00 -1.20000E+00 5 - 8 3.81600E+00 -1.08810E+00 -2.84912E+00 7.37316E+00 Numerical derivative 1 - 4 0.00000E+00 1.00000E+00 1.50000E+00 2.69000E+00 5 - 8 8.07000E+00 4.98610E+00 2.91875E+01 1.30761E+00 (' = Variable number') 1 - 1 4 Analytic partial 1 - 4 0.00000E+00 1.00000E+00 1.50000E+00 2.69000E+00 5 - 8 8.07000E+00 4.98610E+00 2.91874E+01 1.30761E+00 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -3.00000E-01 3.00000E-01 5 - 8 -2.34000E-01 -1.67400E+00 4.41369E+00 2.45511E+00 (' = Variable number') 1 - 1 5 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -3.00000E-01 3.00000E-01 5 - 8 -2.34000E-01 -1.67400E+00 4.41369E+00 2.45511E+00 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -3.90000E-01 -3.44000E-01 5 - 8 -3.13020E+00 -6.80720E-01 -1.41620E+01 4.29624E+00 (' = Variable number') 1 - 1 6 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -3.90000E-01 -3.44000E-01 5 - 8 -3.13020E+00 -6.80720E-01 -1.41620E+01 4.29624E+00 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -3.00000E-01 -3.00000E-01 5 - 8 1.67400E+00 -2.34000E-01 -2.45511E+00 4.41369E+00 (' = Variable number') 1 - 1 7 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -3.00000E-01 -3.00000E-01 5 - 8 1.67400E+00 -2.34000E-01 -2.45511E+00 4.41369E+00 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 3.44000E-01 -3.90000E-01 5 - 8 6.80720E-01 -3.13020E+00 -4.29624E+00 -1.41620E+01 (' = Variable number') 1 - 1 8 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 3.44000E-01 -3.90000E-01 5 - 8 6.80720E-01 -3.13020E+00 -4.29624E+00 -1.41620E+01 TEST01 Use an analytic jacobian. MODE = 0 Computed minimizing X: -0.311627 -0.378373 0.328244 -0.372244 -1.28223 2.49430 1.55487 -1.38464 Residual after the fit = 0.339733E-07 QED output flag IGO = 6 TEST01 Use an analytic jacobian. MODE = 1 Computed minimizing X: -0.320053 -0.369947 0.289850 -0.333850 -1.38036 2.64485 1.33695 -1.43901 Residual after the fit = 0.900241 QED output flag IGO = 8 TEST02 Use an approximate jacobian. MODE = 0 Computed minimizing X: -0.311627 -0.378373 0.328244 -0.372244 -1.28223 2.49430 1.55487 -1.38464 Residual after the fit = 0.339778E-07 QED output flag IGO = 6 TEST02 Use an approximate jacobian. MODE = 1 Computed minimizing X: -0.314073 -0.375927 0.289851 -0.333851 -1.37328 2.65216 1.56368 -1.44586 Residual after the fit = 1.48589 QED output flag IGO = 8 Example 791129 Input SIGMA: 1 0.485000 2 -0.190000E-02 3 -0.581000E-01 4 0.150000E-01 5 0.105000 6 0.406000E-01 7 0.167000 8 -0.399000 Input X: 1 0.299000 2 0.186000 3 -0.273000E-01 4 0.254000E-01 5 -0.474000 6 0.474000 7 -0.892000E-01 8 0.892000E-01 Test the partial derivative computation: DPCHEK: Compare user jacobian and function for consistency, using finite differences. Evaluation point X 1 - 4 2.99000E-01 1.86000E-01 -2.73000E-02 2.54000E-02 5 - 8 -4.74000E-01 4.74000E-01 -8.92000E-02 8.92000E-02 Numerical derivative 1 - 4 1.00000E+00 0.00000E+00 -4.74000E-01 -8.92000E-02 5 - 8 2.16719E-01 8.45616E-02 -9.51821E-02 -5.94136E-02 (' = Variable number') 1 - 1 1 Analytic partial 1 - 4 1.00000E+00 0.00000E+00 -4.74000E-01 -8.92000E-02 5 - 8 2.16719E-01 8.45616E-02 -9.51821E-02 -5.94136E-02 Numerical derivative 1 - 4 1.00000E+00 0.00000E+00 4.74000E-01 8.92000E-02 5 - 8 2.16719E-01 8.45616E-02 9.51821E-02 5.94136E-02 (' = Variable number') 1 - 1 2 Analytic partial 1 - 4 1.00000E+00 0.00000E+00 4.74000E-01 8.92000E-02 5 - 8 2.16719E-01 8.45616E-02 9.51821E-02 5.94136E-02 Numerical derivative 1 - 4 0.00000E+00 1.00000E+00 8.92000E-02 -4.74000E-01 5 - 8 -8.45616E-02 2.16719E-01 5.94136E-02 -9.51821E-02 (' = Variable number') 1 - 1 3 Analytic partial 1 - 4 0.00000E+00 1.00000E+00 8.92000E-02 -4.74000E-01 5 - 8 -8.45616E-02 2.16719E-01 5.94136E-02 -9.51821E-02 Numerical derivative 1 - 4 0.00000E+00 1.00000E+00 -8.92000E-02 4.74000E-01 5 - 8 -8.45616E-02 2.16719E-01 -5.94136E-02 9.51821E-02 (' = Variable number') 1 - 1 4 Analytic partial 1 - 4 0.00000E+00 1.00000E+00 -8.92000E-02 4.74000E-01 5 - 8 -8.45616E-02 2.16719E-01 -5.94136E-02 9.51821E-02 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 2.99000E-01 -2.73000E-02 5 - 8 -2.88322E-01 -2.74612E-02 2.01323E-01 5.81024E-02 (' = Variable number') 1 - 1 5 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 2.99000E-01 -2.73000E-02 5 - 8 -2.88322E-01 -2.74612E-02 2.01323E-01 5.81024E-02 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 1.86000E-01 2.54000E-02 5 - 8 1.71797E-01 5.72616E-02 1.14486E-01 6.36994E-02 (' = Variable number') 1 - 1 6 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 1.86000E-01 2.54000E-02 5 - 8 1.71797E-01 5.72616E-02 1.14486E-01 6.36994E-02 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 2.73000E-02 2.99000E-01 5 - 8 2.74612E-02 -2.88322E-01 -5.81024E-02 2.01323E-01 (' = Variable number') 1 - 1 7 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 2.73000E-02 2.99000E-01 5 - 8 2.74612E-02 -2.88322E-01 -5.81024E-02 2.01323E-01 Numerical derivative 1 - 4 0.00000E+00 0.00000E+00 -2.54000E-02 1.86000E-01 5 - 8 -5.72616E-02 1.71797E-01 -6.36994E-02 1.14486E-01 (' = Variable number') 1 - 1 8 Analytic partial 1 - 4 0.00000E+00 0.00000E+00 -2.54000E-02 1.86000E-01 5 - 8 -5.72616E-02 1.71797E-01 -6.36994E-02 1.14486E-01 TEST01 Use an analytic jacobian. MODE = 0 Computed minimizing X: 0.491321 -0.632135E-02 0.981564E-04 -0.199816E-02 -0.100315 0.122657 -0.207179E-01 -4.02352 Residual after the fit = 0.157406E-07 QED output flag IGO = 7 TEST01 Use an analytic jacobian. MODE = 1 Computed minimizing X: 0.305799 0.179201 -0.266793E-01 0.247793E-01 -0.517111 0.452445 -0.973129E-01 0.851436E-01 Residual after the fit = 0.436076 QED output flag IGO = 8 TEST02 Use an approximate jacobian. MODE = 0 Computed minimizing X: 0.491321 -0.632135E-02 0.981564E-04 -0.199816E-02 -0.100315 0.122657 -0.207179E-01 -4.02352 Residual after the fit = 0.501808E-09 QED output flag IGO = 2 TEST02 Use an approximate jacobian. MODE = 1 Computed minimizing X: 0.305799 0.179201 -0.266786E-01 0.247786E-01 -0.653604 0.212513 -0.187600 0.730313E-01 Residual after the fit = 0.428311 QED output flag IGO = 8 DQED_PRB Normal end of execution.