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📄 him13box.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. SpellucciThu Feb 24 16:54:07 2000him13boxproblem     n=        12    nh=         7    ng=        16  epsx= 1.000e-05 sigsm= 1.490e-08startvalue  2.5200000e+00   2.0000000e+00   3.7500000e+01   9.2500000e+00   6.8000000e+00   3.2745827e+04   9.6991969e+04   1.3036843e+05   2.1430114e+04   4.0167717e+03   1.3041991e+04   7.6195782e+03   eps=  2.22e-16  tol= 1.98e-323 del0=  1.00e-01 delm=  1.00e-07 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=        12 anal=         1 termination reason: KT-conditions satisfied, no further correction computed evaluations of f                          631 evaluations of grad f                     166 evaluations of constraints               6261 evaluations of grads of constraints      1162 final scaling of objective           4.793593e-02 norm of grad(f)                      1.058097e+06 lagrangian violation                 1.012918e-09 feasibility violation                1.355147e-10 dual feasibility violation           0.000000e+00 optimizer runtime sec's              5.500000e-01 optimal value of f =  -5.30468013179347e+06 optimal solution  x =  4.53743097465540e+00  2.40000000000000e+00  6.00000000000000e+01  9.30000000000000e+00  7.00000000000000e+00  7.55699560294416e+04  1.98157094302557e+05  2.77200000000000e+05  2.62562431400000e+04  4.20608070800000e+03  1.32093254640000e+04  6.59459013439999e+03  multipliers are relativ to scf=1  nr.    constraint      normgrad (or 1)   multiplier    1  -1.0186341e-10    7.7931103e+04    4.1366527e+00    2  -3.6379788e-12    1.6591636e+04   -1.4004031e+02    3  -9.0949470e-13    2.9861440e+03    4.3349040e+01    4   0.0000000e+00    2.9016703e+03   -3.9173787e+00    5   0.0000000e+00    6.3758716e+03   -6.8061465e+01    6   0.0000000e+00    1.1241714e+04    1.9136653e+01    7  -2.9103830e-11    4.3671650e+04    1.9136653e+01    8   4.5374310e+00    1.0000000e+00    0.0000000e+00    9   1.2000000e+00    1.0000000e+00    0.0000000e+00   10   4.0000000e+01    1.0000000e+00    0.0000000e+00   11   3.0000000e-01    1.0000000e+00    0.0000000e+00   12   5.0000000e-01    1.0000000e+00    0.0000000e+00   13   7.5569956e+04    1.0000000e+00    0.0000000e+00   14   1.9815709e+05    1.0000000e+00    0.0000000e+00   15   2.7720000e+05    1.0000000e+00    0.0000000e+00   16   4.6256903e-01    1.0000000e+00    0.0000000e+00   17   0.0000000e+00    1.0000000e+00    4.1197922e+04   18   0.0000000e+00    1.0000000e+00    1.7114856e+03   19   0.0000000e+00    1.0000000e+00    7.1681226e+05   20   0.0000000e+00    1.0000000e+00    6.1923881e+05   21   2.1843004e+05    1.0000000e+00    0.0000000e+00   22   9.5842906e+04    1.0000000e+00    0.0000000e+00   23   0.0000000e+00    1.0000000e+00    1.9136653e+01 evaluations of restrictions and their gradients (   917,   166) (   891,   166) (   891,   166) (   891,   166) (   891,   166) (   891,   166) (   889,   166) (     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  5.206e+04last estimate of condition of approx. hessian   4.491e+00iterative steps total             165# of restarts                     109# of full regular updates           4# of updates                       49# of full regularized SQP-steps     1

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