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📄 hs105ori.pro~orig

📁 sqp程序包。用sqp算法实现非线性约束的优化求解
💻 PRO~ORIG
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donlp2, v3, 05/29/98, copyright P. SpellucciTue Sep 19 21:02:10 2000hs105orig     n=         8    nh=         0    ng=        17  epsx= 1.000e-05 sigsm= 1.490e-08startvalue  1.0000000e-01   2.0000000e-01   1.0000000e+02   1.2500000e+02   1.7500000e+02   1.1200000e+01   1.3200000e+01   1.5800000e+01   eps=  2.22e-16  tol= 1.98e-323 del0=  1.00e-03 delm=  1.00e-09 tau0=  1.00e+00  tau=  1.00e-01   sd=  1.00e-01   sw=  3.67e-11  rho=  1.00e-06 rho1=  1.00e-10 scfm=  1.00e+04  c1d=  1.00e-02 epdi=  1.00e-08  nre=         8 anal=         1 termination reason: KT-conditions satisfied, no further correction computed evaluations of f                          104 evaluations of grad f                      41 evaluations of constraints                104 evaluations of grads of constraints         0 final scaling of objective           1.936867e-01 norm of grad(f)                      1.078882e+00 lagrangian violation                 1.016007e-05 feasibility violation                0.000000e+00 dual feasibility violation           0.000000e+00 optimizer runtime sec's              5.400000e-01 optimal value of f =   1.13630730357407e+03 optimal solution  x =  3.52763015604797e-01  4.99000000000000e-01  1.30245613522510e+02  1.63058216649412e+02  2.22766938898589e+02  1.18783145165399e+01  1.95373665814438e+01  1.64148953944354e+01  multipliers are relativ to scf=1  nr.    constraint      normgrad (or 1)   multiplier    1   1.4823698e-01    1.0000000e+00    0.0000000e+00    2   3.5176302e-01    1.0000000e+00    0.0000000e+00    3   4.9800000e-01    1.0000000e+00    0.0000000e+00    4   3.0245614e+01    1.0000000e+00    0.0000000e+00    5   3.3058217e+01    1.0000000e+00    0.0000000e+00    6   5.2766939e+01    1.0000000e+00    0.0000000e+00    7   6.8783145e+00    1.0000000e+00    0.0000000e+00    8   1.4537367e+01    1.0000000e+00    0.0000000e+00    9   1.1414895e+01    1.0000000e+00    0.0000000e+00   10   1.4623698e-01    1.0000000e+00    0.0000000e+00   11   0.0000000e+00    1.0000000e+00    1.0788873e+00   12   4.9754386e+01    1.0000000e+00    0.0000000e+00   13   4.6941783e+01    1.0000000e+00    0.0000000e+00   14   1.7233061e+01    1.0000000e+00    0.0000000e+00   15   1.3121685e+01    1.0000000e+00    0.0000000e+00   16   5.4626334e+00    1.0000000e+00    0.0000000e+00   17   8.5851046e+00    1.0000000e+00    0.0000000e+00 evaluations of restrictions and their gradients (   104,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0) (     0,     0)last estimate of condition of active gradients  1.000e+00last estimate of condition of approx. hessian   4.070e+04iterative steps total              40# of restarts                       0# of full regular updates          40# of updates                       40# of full regularized SQP-steps     0

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