xmmxmm 发表于 2018-3-21 10:21 
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S O L V E S U M M A R Y
MODEL StoNED OBJECTIVE SS
TYPE NLP DIRECTION MINIMIZE
SOLVER CONOPT FROM LINE 70
**** SOLVER STATUS 1 Normal Completion
**** MODEL STATUS 2 Locally Optimal
**** OBJECTIVE VALUE 80238479.8127
RESOURCE USAGE, LIMIT 0.016 1000.000
ITERATION COUNT, LIMIT 88 2000000000
EVALUATION ERRORS 0 0
CONOPT 3 24.4.6 r52609 Released Jun 26, 2015 WEI x86 64bit/MS Windows
C O N O P T 3 version 3.16F
Copyright (C) ARKI Consulting and Development A/S
Bagsvaerdvej 246 A
DK-2880 Bagsvaerd, Denmark
The model has 37 variables and 37 constraints
with 343 Jacobian elements, 6 of which are nonlinear.
The Hessian of the Lagrangian has 6 elements on the diagonal,
0 elements below the diagonal, and 6 nonlinear variables.
** Warning ** The variance of the derivatives in the initial
point is large (= 11. ). A better initial
point, a better scaling, or better bounds on the
variables will probably help the optimization.
** Optimal solution. The error in the optimal objective function value
value estimated from the reduced gradient and the estimated
Hessian is less than the minimal tolerance on the objective.
CONOPT time Total 0.024 seconds
of which: Function evaluations 0.000 = 0.0%
1st Derivative evaluations 0.000 = 0.0%
2nd Derivative evaluations 0.000 = 0.0%
Directional 2nd Derivative 0.000 = 0.0%
LOWER LEVEL UPPER MARGINAL
---- EQU QSSE . . . 1.000
QSSE objective=sum of square of errors
---- EQU QREGR regression equation
LOWER LEVEL UPPER MARGINAL
industry1 -1.312E+4 -1.312E+4 -1.312E+4 15993.189
industry2 -5359.000 -5359.000 -5359.000 -6094.357
industry3 -4.639E+4 -4.639E+4 -4.639E+4 -3952.981
industry4 -1.392E+4 -1.392E+4 -1.392E+4 -1379.533
industry5 -2172.000 -2172.000 -2172.000 -2088.413
industry6 -5.268E+4 -5.268E+4 -5.268E+4 -2477.904
---- EQU QCONC concavity constraint
LOWER LEVEL UPPER MARGINAL
industry1.industry2 -INF -4944.384 . .
industry1.industry3 -INF . . .
industry1.industry4 -INF . . .
industry1.industry5 -INF . . .
industry1.industry6 -INF . . .
industry2.industry1 -INF . . -6094.357
industry2.industry3 -INF . . EPS
industry2.industry4 -INF . . EPS
industry2.industry5 -INF . . .
industry2.industry6 -INF . . EPS
industry3.industry1 -INF . . -3952.981
industry3.industry2 -INF . . EPS
industry3.industry4 -INF . . .
industry3.industry5 -INF . . EPS
industry3.industry6 -INF . . .
industry4.industry1 -INF . . -1379.533
industry4.industry2 -INF -2069.005 . .
industry4.industry3 -INF . . EPS
industry4.industry5 -INF . . .
industry4.industry6 -INF . . EPS
industry5.industry1 -INF . . -2088.413
industry5.industry2 -INF -4680.044 . .
industry5.industry3 -INF . . .
industry5.industry4 -INF . . EPS
industry5.industry6 -INF . . EPS
industry6.industry1 -INF . . -2477.904
industry6.industry2 -INF -1.178E+4 . EPS
industry6.industry3 -INF . . .
industry6.industry4 -INF . . EPS
industry6.industry5 -INF . . EPS
---- VAR a intercept
LOWER LEVEL UPPER MARGINAL
industry1 -INF -3807.990 +INF .
industry2 -INF -6.204 +INF EPS
industry3 -INF -3807.990 +INF .
industry4 -INF -3807.990 +INF .
industry5 -INF -3807.990 +INF EPS
industry6 -INF -3807.990 +INF .
---- VAR E error term
LOWER LEVEL UPPER MARGINAL
industry1 -INF -7996.594 +INF .
industry2 -INF 3047.179 +INF .
industry3 -INF 1976.491 +INF .
industry4 -INF 689.767 +INF .
industry5 -INF 1044.206 +INF .
industry6 -INF 1238.952 +INF .
LOWER LEVEL UPPER MARGINAL
---- VAR SS -INF 8.0238E+7 +INF .
SS sum of square of errors
---- VAR bl marginal product of labor
LOWER LEVEL UPPER MARGINAL
industry1 . 0.167 +INF .
industry2 . 0.017 +INF .
industry3 . 0.167 +INF .
industry4 . 0.167 +INF .
industry5 . 0.167 +INF -8.860E-6
industry6 . 0.167 +INF .
---- VAR bk1 marginal product of capital1
LOWER LEVEL UPPER MARGINAL
industry1 . . +INF 6.4934E+9
industry2 . 0.006 +INF .
industry3 . . +INF EPS
industry4 . . +INF .
industry5 . . +INF EPS
industry6 . . +INF .
---- VAR bk2 marginal product of capital2
LOWER LEVEL UPPER MARGINAL
industry1 . 2.1063E-4 +INF .
industry2 . . +INF -3.140E-4
industry3 . 2.1063E-4 +INF .
industry4 . 2.1063E-4 +INF .
industry5 . 2.1063E-4 +INF .
industry6 . 2.1063E-4 +INF .
---- VAR bk3 marginal product of capital3
LOWER LEVEL UPPER MARGINAL
industry1 . . +INF 1.7541E+7
industry2 . . +INF EPS
industry3 . . +INF EPS
industry4 . . +INF EPS
industry5 . . +INF EPS
industry6 . . +INF EPS
**** REPORT SUMMARY : 0 NONOPT
0 INFEASIBLE
0 UNBOUNDED
0 ERRORS
GAMS 24.4.6 r52609 Released Jun 26, 2015 WEX-WEI x86 64bit/MS Windows 03/21/18 10:46:19 Page 6
G e n e r a l A l g e b r a i c M o d e l i n g S y s t e m
E x e c u t i o n
**** Exec Error at line 78: rPower: FUNC DOMAIN: x**y, x < 0
---- 103 VARIABLE E.L error term
industry1 -7996.594
industry2 3047.179
industry3 1976.491
industry4 689.767
industry5 1044.206
industry6 1238.952
---- 103 VARIABLE mresid.L = 2.04636E-12
---- 103 VARIABLE M2.L
industry1 6.394552E+7
industry2 9285298.325
industry3 3906514.889
industry4 475777.950
industry5 1090367.158
industry6 1535001.797
---- 103 VARIABLE M3.L
industry1 -5.1135E+11
industry2 2.82940E+10
industry3 7.721190E+9
industry4 3.281757E+8
industry5 1.138568E+9
industry6 1.901793E+9
---- 103 VARIABLE mM2.L = 1.337308E+7
VARIABLE mM3.L = -7.8660E+10
VARIABLE sigmau.L = 7119.086
VARIABLE sigmav.L = UNDF
VARIABLE sumsigma2.L = UNDF
VARIABLE lamda.L = UNDF
VARIABLE myy.L = 5680.209
---- 103 VARIABLE epsilon.L
industry1 -13676.803
industry2 -2633.030
industry3 -3703.719
industry4 -4990.443
industry5 -4636.003
industry6 -4441.257
---- 103 VARIABLE Eu.L
industry1 UNDF
industry2 UNDF
industry3 UNDF
industry4 UNDF
industry5 UNDF
industry6 UNDF
---- 103 VARIABLE Etheta.L
industry1 UNDF
industry2 UNDF
industry3 UNDF
industry4 UNDF
industry5 UNDF
industry6 UNDF
EXECUTION TIME = 0.000 SECONDS 3 MB 24.4.6 r52609 WEX-WEI
USER: GAMS Development Corporation, Washington, DC G871201/0000CA-ANY
Free Demo, 202-342-0180,
sales@gams.com, www.gams.com DC0000
**** FILE SUMMARY
Input C:\Users\ppoo\Documents\gamsdir\projdir\Untitled_1.gms
Output C:\Users\ppoo\Documents\gamsdir\projdir\Untitled_1.lst
**** USER ERROR(S) ENCOUNTERED
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