maratos0.pro~orig

sqp程序包。用sqp算法实现非线性约束的优化求解

donlp2, v3, 05/29/98, copyright P. Spellucci
Thu Feb 24 16:54:49 2000
maratos0

     n=         2    nh=         1    ng=         0

  epsx= 1.000e-05 sigsm= 1.490e-08

startvalue
  8.0000000e-01   6.0000000e-01 

  eps=  2.22e-16  tol= 1.98e-323 del0=  1.00e-01 delm=  1.00e-07 tau0=  5.00e-01
  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=  0.00e+00
  nre=         4 anal=         1

 termination reason:
 KT-conditions satisfied, no further correction computed
 evaluations of f                          264
 evaluations of grad f                      71
 evaluations of constraints                287
 evaluations of grads of constraints        71
 final scaling of objective           1.000000e+00
 norm of grad(f)                      1.900000e+01
 lagrangian violation                 6.393877e-06
 feasibility violation                4.826028e-12
 dual feasibility violation           0.000000e+00
 optimizer runtime sec's              3.000000e-02


 optimal value of f =  -1.00000000002541e+00

 optimal solution  x =
  9.99999999977152e-01  6.39290503621538e-06

  multipliers are relativ to scf=1
  nr.    constraint      normgrad (or 1)   multiplier
    1  -4.8260285e-12    2.0000000e+00    9.5000001e+00

 evaluations of restrictions and their gradients
 (   287,    71)
last estimate of condition of active gradients  1.000e+00
last estimate of condition of approx. hessian   4.068e+00
iterative steps total              70
# of restarts                      11
# of full regular updates          59
# of updates                       59
# of full regularized SQP-steps     0