数学建模社区-数学中国
标题: 高手帮忙改改lingo程序中的错误 [打印本页]
作者: 包不同111 时间: 2008-5-16 17:08
标题: 高手帮忙改改lingo程序中的错误
MODEL:
SETS:
venders1/v1,v2,v3/:c1,x1;
goods1/g1,g2/:i0,h1,i1,m1,o1;
vg1(venders1,goods1):q1,d1,z1,g1,b1,p1,r1,y1,z2,r2,y2;
ENDSETS
DATA:
c1= 1200,2000,1500;
h1= 1,1.5;
m1= 3800,3000;
q1= 0.04 0.03
0.02 0.04
0.03 0.02;
d1= 0.96 0.93
0.94 0.90
0.95 0.95;
g1= 2 1
1.8 0.8
1.9 0.9;
b1= 3000 3500
2500 4000
2500 3000;
p1= 3 2.2
3.2 2.1
3.1 2.3;
r1=1 1
1 1
1 1;
r2=0.9 0.9
0.9 0.9
0.9 0.9;
o1=500,300;
ENDDATA
1(i,j)*z1(i,j)*r1(i,j)*y1(i,j))+@sum(vg1(i,j)
1(i,j)*z1(i,j)*r2(i,j)*y2(i,j))+@sum(venders1:x1*c1)+@sum(vg1(i,j):g1(i,j)*z1(i,j">min=@sum(vg1(i,j)1(i,j)*z1(i,j)*r1(i,j)*y1(i,j))+@sum(vg1(i,j)1(i,j)*z1(i,j)*r2(i,j)*y2(i,j))+@sum(venders1:x1*c1)+@sum(vg1(i,j):g1(i,j)*z1(i,j));
@for(vg1(i,j):z1(i,j)<=b1(i,j));
@for(venders1(i):x1(i)=@if(@sum(goods1(j):z1(i,j)^2)#gt#0,1,0));
@for(goods1(j):m1(j)+1.28*o1(j)<=@sum(venders1(i):z1(i,j)));
@for(vg1:y1(i,j)=@if(vg1(i,j):z1(i,j)#lt#2000,1,0));
@for(vg1:y2(i,j)=@if(vg1(i,j):z1(i,j)#gt#2000,1,0));
end
作者: madio 时间: 2008-5-17 00:11
MODEL:
SETS:
venders1/v1,v2,v3/:c1,x1;
goods1/g1,g2/:i0,h1,i1,m1,o1;
vg1(venders1,goods1):q1,d1,z1,g1,b1,p1,r1,y1,z2,r2,y2;
ENDSETS
DATA:
c1= 1200,2000,1500;
h1= 1,1.5;
m1= 3800,3000;
q1= 0.04 0.03
0.02 0.04
0.03 0.02;
d1= 0.96 0.93
0.94 0.90
0.95 0.95;
g1= 2 1
1.8 0.8
1.9 0.9;
b1= 3000 3500
2500 4000
2500 3000;
p1= 3 2.2
3.2 2.1
3.1 2.3;
r1=1 1
1 1
1 1;
r2=0.9 0.9
0.9 0.9
0.9 0.9;
o1=500,300;
ENDDATA
1(i,j)*z1(i,j)*r1(i,j)*y1(i,j))+@sum(vg1(i,j)1(i,j)*z1(i,j)*r2(i,j)*y2(i,j))+@sum(venders1:x1*c1)+@sum(vg1(i,j):g1(i,j)*z1(i,j">min=@sum(vg1(i,j)1(i,j)*z1(i,j)*r1(i,j)*y1(i,j))+@sum(vg1(i,j)1(i,j)*z1(i,j)*r2(i,j)*y2(i,j))+@sum(venders1:x1*c1)+@sum(vg1(i,j):g1(i,j)*z1(i,j));
@for(vg1(i,j):z1(i,j)<=b1(i,j));
@for(venders1(i):x1(i)=@if(@sum(goods1(j):z1(i,j)^2)#gt#0,1,0));
@for(goods1(j):m1(j)+1.28*o1(j)<=@sum(venders1(i):z1(i,j)));
@for(vg1:y1(i,j)=@if(z1(i,j)#lt#2000,1,0));
@for(vg1:y2(i,j)=@if(z1(i,j)#gt#2000,1,0));
end
结果如下：
Local optimal solution found.
Objective value: 14393.20
Total solver iterations: 6
Variable Value Reduced Cost
I 0.000000 0.000000
J 0.000000 0.000000
C1( V1) 1200.000 0.000000
C1( V2) 2000.000 0.000000
C1( V3) 1500.000 0.000000
X1( V1) 0.000000 0.000000
X1( V2) 1.000000 0.000000
X1( V3) 1.000000 0.000000
I0( G1) 0.000000 0.000000
I0( G2) 0.000000 0.000000
H1( G1) 1.000000 0.000000
H1( G2) 1.500000 0.000000
I1( G1) 0.000000 0.000000
I1( G2) 0.000000 0.000000
M1( G1) 3800.000 0.000000
M1( G2) 3000.000 0.000000
O1( G1) 500.0000 0.000000
O1( G2) 300.0000 0.000000
Q1( V1, G1) 0.4000000E-01 0.000000
Q1( V1, G2) 0.3000000E-01 0.000000
Q1( V2, G1) 0.2000000E-01 0.000000
Q1( V2, G2) 0.4000000E-01 0.000000
Q1( V3, G1) 0.3000000E-01 0.000000
Q1( V3, G2) 0.2000000E-01 0.000000
D1( V1, G1) 0.9600000 0.000000
D1( V1, G2) 0.9300000 0.000000
D1( V2, G1) 0.9400000 0.000000
D1( V2, G2) 0.9000000 0.000000
D1( V3, G1) 0.9500000 0.000000
D1( V3, G2) 0.9500000 0.000000
Z1( V1, G1) 0.000000 0.1000000
Z1( V1, G2) 0.000000 1.939175
Z1( V2, G1) 2500.000 0.000000
Z1( V2, G2) 3384.000 0.000000
Z1( V3, G1) 1940.000 0.000000
Z1( V3, G2) 0.000000 0.1000000
G1( V1, G1) 2.000000 0.000000
G1( V1, G2) 1.000000 0.000000
G1( V2, G1) 1.800000 0.000000
G1( V2, G2) 0.8000000 0.000000
G1( V3, G1) 1.900000 0.000000
G1( V3, G2) 0.9000000 0.000000
B1( V1, G1) 3000.000 0.000000
B1( V1, G2) 3500.000 0.000000
B1( V2, G1) 2500.000 0.000000
B1( V2, G2) 4000.000 0.000000
B1( V3, G1) 2500.000 0.000000
B1( V3, G2) 3000.000 0.000000
P1( V1, G1) 3.000000 0.000000
P1( V1, G2) 2.200000 0.000000
P1( V2, G1) 3.200000 0.000000
P1( V2, G2) 2.100000 0.000000
P1( V3, G1) 3.100000 0.000000
P1( V3, G2) 2.300000 0.000000
R1( V1, G1) 1.000000 0.000000
R1( V1, G2) 1.000000 0.000000
R1( V2, G1) 1.000000 0.000000
R1( V2, G2) 1.000000 0.000000
R1( V3, G1) 1.000000 0.000000
R1( V3, G2) 1.000000 0.000000
Y1( V1, G1) 0.000000 0.000000
Y1( V1, G2) 0.000000 0.000000
Y1( V2, G1) 0.000000 8000.000
Y1( V2, G2) 0.000000 7106.400
Y1( V3, G1) 0.000000 6014.000
Y1( V3, G2) 0.000000 0.000000
Z2( V1, G1) 0.000000 0.000000
Z2( V1, G2) 0.000000 0.000000
Z2( V2, G1) 0.000000 0.000000
Z2( V2, G2) 0.000000 0.000000
Z2( V3, G1) 0.000000 0.000000
Z2( V3, G2) 0.000000 0.000000
R2( V1, G1) 0.9000000 0.000000
R2( V1, G2) 0.9000000 0.000000
R2( V2, G1) 0.9000000 0.000000
R2( V2, G2) 0.9000000 0.000000
R2( V3, G1) 0.9000000 0.000000
R2( V3, G2) 0.9000000 0.000000
Y2( V1, G1) 0.000000 0.000000
Y2( V1, G2) 0.8783714 0.000000
Y2( V2, G1) 0.000000 7200.000
Y2( V2, G2) 0.000000 6395.760
Y2( V3, G1) 0.000000 5412.600
Y2( V3, G2) 0.000000 0.000000
Row Slack or Surplus Dual Price
1 14393.20 -1.000000
2 3000.000 0.000000
3 3500.000 0.000000
4 0.000000 0.1000000
5 616.0000 0.000000
6 560.0000 0.000000
7 3000.000 0.000000
8 0.000000 -1200.000
9 0.000000 -2000.000
10 0.000000 -1500.000
11 0.000000 1.900000
12 0.000000 0.8000000
作者: husonky 时间: 2008-5-17 09:43
帮我改下吧 急用啊！！！谢谢拉！！！
SETS:
GR/1..9/:;
GA/1..5/:;
LINK(GR,GA):a,b,x,w;
ENDSETS
DATA:
a=64 88 193 193 128
120 120 120 110 120
64 247 190 210 70
85 192 195 128 120
120 120 110 160 70
256 190 210 190 205
110 160 70 256 190
210 190 190 210 200
150 150 180 70 120;
w=1680 1680 2400 2400 1620
1620 1728 1620 1440 1620
1080 3375 2304 2500 1680
1680 2400 2400 1620 1620
1728 1620 1440 1620 1080
3375 2304 2500 2304 2500
1440 1620 1080 3372 2304
2500 2304 2304 2500 2304
2500 2304 2304 1250 2160;
ENDDATA
MIN=@SUM(LINK(GR,GA):w(i,j)*x(i,j));
@FOR(LINK(GR,GA):@BIN(x(i,j)););
@FOR(GR(I):@SUM(GA(J):x(i,j))<=5;);
@FOR(GR(J):@SUM(GA(I):x(i,j))<=9;);
@FOR(LINK(GR,GA):b(i,j)>=a(i,j)*0.8);
@FOR(LINK(GR,GA):b(i,j)<=a(i,j)*0.9);
@SUM(LINK(GR,GA):b(i,j)*x(i,j))>=5600*0.95;
@SUM(LINK(GR,GA):b(i,j)*x(i,j))<=5600;
作者: 包不同111 时间: 2008-5-17 15:06
非常感谢
作者: hubulwm 时间: 2008-5-24 14:37
SETS: GR/1..9/; GA/1..5/; LINK(GR,GA):a,b,x,w; ENDSETS DATA: a=64 88 193 193 128 120 120 120 110 120 64 247 190 210 70 85 192 195 128 120 120 120 110 160 70 256 190 210 190 205 110 160 70 256 190 210 190 190 210 200 150 150 180 70 120; w=1680 1680 2400 2400 1620 1620 1728 1620 1440 1620 1080 3375 2304 2500 1680 1680 2400 2400 1620 1620 1728 1620 1440 1620 1080 3375 2304 2500 2304 2500 1440 1620 1080 3372 2304 2500 2304 2304 2500 2304 2500 2304 2304 1250 2160; ENDDATA MIN=@SUM(LINK:w*x); @FOR(LINK
BIN(x)); @FOR(GR(i)SUM(GA(j):x(i,j))<=5); @FOR(GA(j)SUM(GR(i):x(i,j))<=9); @FOR(LINK:b>=a*0.8); @FOR(LINK:b<=a*0.9); @SUM(LINK:b*x)>=5600*0.95; @SUM(LINK:b*x)<=5600; 结果为： Local optimal solution found. Objective value: 74090.00 Extended solver steps: 64 Total solver iterations: 2308 Variable Value Reduced Cost A( 1, 1) 64.00000 0.000000 A( 1, 2) 88.00000 0.000000 A( 1, 3) 193.0000 0.000000 A( 1, 4) 193.0000 0.000000 A( 1, 5) 128.0000 0.000000 A( 2, 1) 120.0000 0.000000 A( 2, 2) 120.0000 0.000000 A( 2, 3) 120.0000 0.000000 A( 2, 4) 110.0000 0.000000 A( 2, 5) 120.0000 0.000000 A( 3, 1) 64.00000 0.000000 A( 3, 2) 247.0000 0.000000 A( 3, 3) 190.0000 0.000000 A( 3, 4) 210.0000 0.000000 A( 3, 5) 70.00000 0.000000 A( 4, 1) 85.00000 0.000000 A( 4, 2) 192.0000 0.000000 A( 4, 3) 195.0000 0.000000 A( 4, 4) 128.0000 0.000000 A( 4, 5) 120.0000 0.000000 A( 5, 1) 120.0000 0.000000 A( 5, 2) 120.0000 0.000000 A( 5, 3) 110.0000 0.000000 A( 5, 4) 160.0000 0.000000 A( 5, 5) 70.00000 0.000000 A( 6, 1) 256.0000 0.000000 A( 6, 2) 190.0000 0.000000 A( 6, 3) 210.0000 0.000000 A( 6, 4) 190.0000 0.000000 A( 6, 5) 205.0000 0.000000 A( 7, 1) 110.0000 0.000000 A( 7, 2) 160.0000 0.000000 A( 7, 3) 70.00000 0.000000 A( 7, 4) 256.0000 0.000000 A( 7, 5) 190.0000 0.000000 A( 8, 1) 210.0000 0.000000 A( 8, 2) 190.0000 0.000000 A( 8, 3) 190.0000 0.000000 A( 8, 4) 210.0000 0.000000 A( 8, 5) 200.0000 0.000000 A( 9, 1) 150.0000 0.000000 A( 9, 2) 150.0000 0.000000 A( 9, 3) 180.0000 0.000000 A( 9, 4) 70.00000 0.000000 A( 9, 5) 120.0000 0.000000 B( 1, 1) 57.60000 0.000000 B( 1, 2) 79.20000 0.000000 B( 1, 3) 173.7000 0.000000 B( 1, 4) 173.7000 0.000000 B( 1, 5) 115.2000 0.000000 B( 2, 1) 108.0000 0.000000 B( 2, 2) 108.0000 0.000000 B( 2, 3) 108.0000 0.000000 B( 2, 4) 99.00000 0.000000 B( 2, 5) 108.0000 0.000000 B( 3, 1) 57.60000 0.000000 B( 3, 2) 222.3000 0.000000 B( 3, 3) 171.0000 0.000000 B( 3, 4) 189.0000 0.000000 B( 3, 5) 63.00000 0.000000 B( 4, 1) 76.50000 0.000000 B( 4, 2) 172.8000 0.000000 B( 4, 3) 175.5000 0.000000 B( 4, 4) 115.2000 0.000000 B( 4, 5) 108.0000 0.000000 B( 5, 1) 108.0000 0.000000 B( 5, 2) 108.0000 0.000000 B( 5, 3) 99.00000 0.000000 B( 5, 4) 144.0000 0.000000 B( 5, 5) 63.00000 0.000000 B( 6, 1) 230.4000 0.000000 B( 6, 2) 171.0000 0.000000 B( 6, 3) 189.0000 0.000000 B( 6, 4) 171.0000 0.000000 B( 6, 5) 184.5000 0.000000 B( 7, 1) 99.00000 0.000000 B( 7, 2) 144.0000 0.000000 B( 7, 3) 63.00000 0.000000 B( 7, 4) 230.4000 0.000000 B( 7, 5) 171.0000 0.000000 B( 8, 1) 189.0000 0.000000 B( 8, 2) 171.0000 0.000000 B( 8, 3) 171.0000 0.000000 B( 8, 4) 189.0000 0.000000 B( 8, 5) 180.0000 0.000000 B( 9, 1) 120.0000 0.000000 B( 9, 2) 135.0000 0.000000 B( 9, 3) 162.0000 0.000000 B( 9, 4) 63.00000 0.000000 B( 9, 5) 108.0000 0.000000 X( 1, 1) 0.000000 1680.000 X( 1, 2) 0.000000 1680.000 X( 1, 3) 1.000000 2400.000 X( 1, 4) 1.000000 2400.000 X( 1, 5) 1.000000 1620.000 X( 2, 1) 1.000000 1620.000 X( 2, 2) 1.000000 1728.000 X( 2, 3) 1.000000 1620.000 X( 2, 4) 1.000000 1440.000 X( 2, 5) 1.000000 1620.000 X( 3, 1) 0.000000 1080.000 X( 3, 2) 1.000000 3375.000 X( 3, 3) 1.000000 2304.000 X( 3, 4) 1.000000 2500.000 X( 3, 5) 0.000000 1680.000 X( 4, 1) 0.000000 1680.000 X( 4, 2) 1.000000 2400.000 X( 4, 3) 1.000000 2400.000 X( 4, 4) 1.000000 1620.000 X( 4, 5) 1.000000 1620.000 X( 5, 1) 1.000000 1728.000 X( 5, 2) 1.000000 1620.000 X( 5, 3) 1.000000 1440.000 X( 5, 4) 1.000000 1620.000 X( 5, 5) 1.000000 1080.000 X( 6, 1) 1.000000 3375.000 X( 6, 2) 1.000000 2304.000 X( 6, 3) 1.000000 2500.000 X( 6, 4) 1.000000 2304.000 X( 6, 5) 1.000000 2500.000 X( 7, 1) 1.000000 1440.000 X( 7, 2) 1.000000 1620.000 X( 7, 3) 0.000000 1080.000 X( 7, 4) 1.000000 3372.000 X( 7, 5) 1.000000 2304.000 X( 8, 1) 1.000000 2500.000 X( 8, 2) 1.000000 2304.000 X( 8, 3) 1.000000 2304.000 X( 8, 4) 1.000000 2500.000 X( 8, 5) 1.000000 2304.000 X( 9, 1) 0.000000 2500.000 X( 9, 2) 0.000000 2304.000 X( 9, 3) 1.000000 2304.000 X( 9, 4) 0.000000 1250.000 X( 9, 5) 0.000000 2160.000 W( 1, 1) 1680.000 0.000000 W( 1, 2) 1680.000 0.000000 W( 1, 3) 2400.000 0.000000 W( 1, 4) 2400.000 0.000000 W( 1, 5) 1620.000 0.000000 W( 2, 1) 1620.000 0.000000 W( 2, 2) 1728.000 0.000000 W( 2, 3) 1620.000 0.000000 W( 2, 4) 1440.000 0.000000 W( 2, 5) 1620.000 0.000000 W( 3, 1) 1080.000 0.000000 W( 3, 2) 3375.000 0.000000 W( 3, 3) 2304.000 0.000000 W( 3, 4) 2500.000 0.000000 W( 3, 5) 1680.000 0.000000 W( 4, 1) 1680.000 0.000000 W( 4, 2) 2400.000 0.000000 W( 4, 3) 2400.000 0.000000 W( 4, 4) 1620.000 0.000000 W( 4, 5) 1620.000 0.000000 W( 5, 1) 1728.000 0.000000 W( 5, 2) 1620.000 0.000000 W( 5, 3) 1440.000 0.000000 W( 5, 4) 1620.000 0.000000 W( 5, 5) 1080.000 0.000000 W( 6, 1) 3375.000 0.000000 W( 6, 2) 2304.000 0.000000 W( 6, 3) 2500.000 0.000000 W( 6, 4) 2304.000 0.000000 W( 6, 5) 2500.000 0.000000 W( 7, 1) 1440.000 0.000000 W( 7, 2) 1620.000 0.000000 W( 7, 3) 1080.000 0.000000 W( 7, 4) 3372.000 0.000000 W( 7, 5) 2304.000 0.000000 W( 8, 1) 2500.000 0.000000 W( 8, 2) 2304.000 0.000000 W( 8, 3) 2304.000 0.000000 W( 8, 4) 2500.000 0.000000 W( 8, 5) 2304.000 0.000000 W( 9, 1) 2500.000 0.000000 W( 9, 2) 2304.000 0.000000 W( 9, 3) 2304.000 0.000000 W( 9, 4) 1250.000 0.000000 W( 9, 5) 2160.000 0.000000 Row Slack or Surplus Dual Price 1 74090.00 -1.000000 2 2.000000 0.000000 3 0.000000 0.000000 4 2.000000 0.000000 5 1.000000 0.000000 6 0.000000 0.000000 7 0.000000 0.000000 8 1.000000 0.000000 9 0.000000 0.000000 10 4.000000 0.000000 11 4.000000 0.000000 12 2.000000 0.000000 13 1.000000 0.000000 14 1.000000 0.000000 15 2.000000 0.000000 16 6.400000 0.000000 17 8.800000 0.000000 18 19.30000 0.000000 19 19.30000 0.000000 20 12.80000 0.000000 21 12.00000 0.000000 22 12.00000 0.000000 23 12.00000 0.000000 24 11.00000 0.000000 25 12.00000 0.000000 26 6.400000 0.000000 27 24.70000 0.000000 28 19.00000 0.000000 29 21.00000 0.000000 30 7.000000 0.000000 31 8.500000 0.000000 32 19.20000 0.000000 33 19.50000 0.000000 34 12.80000 0.000000 35 12.00000 0.000000 36 12.00000 0.000000 37 12.00000 0.000000 38 11.00000 0.000000 39 16.00000 0.000000 40 7.000000 0.000000 41 25.60000 0.000000 42 19.00000 0.000000 43 21.00000 0.000000 44 19.00000 0.000000 45 20.50000 0.000000 46 11.00000 0.000000 47 16.00000 0.000000 48 7.000000 0.000000 49 25.60000 0.000000 50 19.00000 0.000000 51 21.00000 0.000000 52 19.00000 0.000000 53 19.00000 0.000000 54 21.00000 0.000000 55 20.00000 0.000000 56 0.000000 0.000000 57 15.00000 0.000000 58 18.00000 0.000000 59 7.000000 0.000000 60 12.00000 0.000000 61 0.000000 0.000000 62 0.000000 0.000000 63 0.000000 0.000000 64 0.000000 0.000000 65 0.000000 0.000000 66 0.000000 0.000000 67 0.000000 0.000000 68 0.000000 0.000000 69 0.000000 0.000000 70 0.000000 0.000000 71 0.000000 0.000000 72 0.000000 0.000000 73 0.000000 0.000000 74 0.000000 0.000000 75 0.000000 0.000000 76 0.000000 0.000000 77 0.000000 0.000000 78 0.000000 0.000000 79 0.000000 0.000000 80 0.000000 0.000000 81 0.000000 0.000000 82 0.000000 0.000000 83 0.000000 0.000000 84 0.000000 0.000000 85 0.000000 0.000000 86 0.000000 0.000000 87 0.000000 0.000000 88 0.000000 0.000000 89 0.000000 0.000000 90 0.000000 0.000000 91 0.000000 0.000000 92 0.000000 0.000000 93 0.000000 0.000000 94 0.000000 0.000000 95 0.000000 0.000000 96 0.000000 0.000000 97 0.000000 0.000000 98 0.000000 0.000000 99 0.000000 0.000000 100 0.000000 0.000000 101 15.00000 0.000000 102 0.000000 0.000000 103 0.000000 0.000000 104 0.000000 0.000000 105 0.000000 0.000000 106 1.700000 0.000000 107 278.3000 0.000000
作者: hubulwm 时间: 2008-5-24 14:40
这论坛可真会省空间啊！可怜我们怎么看的清楚！！！！！！！！！！！
3楼的husonky程序修改如下：
SETS:
GR/1..9/;
GA/1..5/;
LINK(GR,GA):a,b,x,w;
ENDSETS
DATA:
a=64 88 193 193 128
120 120 120 110 120
64 247 190 210 70
85 192 195 128 120
120 120 110 160 70
256 190 210 190 205
110 160 70 256 190
210 190 190 210 200
150 150 180 70 120;
w=1680 1680 2400 2400 1620
1620 1728 1620 1440 1620
1080 3375 2304 2500 1680
1680 2400 2400 1620 1620
1728 1620 1440 1620 1080
3375 2304 2500 2304 2500
1440 1620 1080 3372 2304
2500 2304 2304 2500 2304
2500 2304 2304 1250 2160;
ENDDATA
MIN=@SUM(LINK:w*x);
@FOR(LINKBIN(x));
@FOR(GR(i)SUM(GA(j):x(i,j))<=5);
@FOR(GA(j)SUM(GR(i):x(i,j))<=9);
@FOR(LINK:b>=a*0.8);
@FOR(LINK:b<=a*0.9);
@SUM(LINK:b*x)>=5600*0.95;
@SUM(LINK:b*x)<=5600;
结果如下：
Local optimal solution found.
Objective value: 74090.00
Extended solver steps: 64
Total solver iterations: 2308
Variable Value Reduced Cost
A( 1, 1) 64.00000 0.000000
A( 1, 2) 88.00000 0.000000
A( 1, 3) 193.0000 0.000000
A( 1, 4) 193.0000 0.000000
A( 1, 5) 128.0000 0.000000
A( 2, 1) 120.0000 0.000000
A( 2, 2) 120.0000 0.000000
A( 2, 3) 120.0000 0.000000
A( 2, 4) 110.0000 0.000000
A( 2, 5) 120.0000 0.000000
A( 3, 1) 64.00000 0.000000
A( 3, 2) 247.0000 0.000000
A( 3, 3) 190.0000 0.000000
A( 3, 4) 210.0000 0.000000
A( 3, 5) 70.00000 0.000000
A( 4, 1) 85.00000 0.000000
A( 4, 2) 192.0000 0.000000
A( 4, 3) 195.0000 0.000000
A( 4, 4) 128.0000 0.000000
A( 4, 5) 120.0000 0.000000
A( 5, 1) 120.0000 0.000000
A( 5, 2) 120.0000 0.000000
A( 5, 3) 110.0000 0.000000
A( 5, 4) 160.0000 0.000000
A( 5, 5) 70.00000 0.000000
A( 6, 1) 256.0000 0.000000
A( 6, 2) 190.0000 0.000000
A( 6, 3) 210.0000 0.000000
A( 6, 4) 190.0000 0.000000
A( 6, 5) 205.0000 0.000000
A( 7, 1) 110.0000 0.000000
A( 7, 2) 160.0000 0.000000
A( 7, 3) 70.00000 0.000000
A( 7, 4) 256.0000 0.000000
A( 7, 5) 190.0000 0.000000
A( 8, 1) 210.0000 0.000000
A( 8, 2) 190.0000 0.000000
A( 8, 3) 190.0000 0.000000
A( 8, 4) 210.0000 0.000000
A( 8, 5) 200.0000 0.000000
A( 9, 1) 150.0000 0.000000
A( 9, 2) 150.0000 0.000000
A( 9, 3) 180.0000 0.000000
A( 9, 4) 70.00000 0.000000
A( 9, 5) 120.0000 0.000000
B( 1, 1) 57.60000 0.000000
B( 1, 2) 79.20000 0.000000
B( 1, 3) 173.7000 0.000000
B( 1, 4) 173.7000 0.000000
B( 1, 5) 115.2000 0.000000
B( 2, 1) 108.0000 0.000000
B( 2, 2) 108.0000 0.000000
B( 2, 3) 108.0000 0.000000
B( 2, 4) 99.00000 0.000000
B( 2, 5) 108.0000 0.000000
B( 3, 1) 57.60000 0.000000
B( 3, 2) 222.3000 0.000000
B( 3, 3) 171.0000 0.000000
B( 3, 4) 189.0000 0.000000
B( 3, 5) 63.00000 0.000000
B( 4, 1) 76.50000 0.000000
B( 4, 2) 172.8000 0.000000
B( 4, 3) 175.5000 0.000000
B( 4, 4) 115.2000 0.000000
B( 4, 5) 108.0000 0.000000
B( 5, 1) 108.0000 0.000000
B( 5, 2) 108.0000 0.000000
B( 5, 3) 99.00000 0.000000
B( 5, 4) 144.0000 0.000000
B( 5, 5) 63.00000 0.000000
B( 6, 1) 230.4000 0.000000
B( 6, 2) 171.0000 0.000000
B( 6, 3) 189.0000 0.000000
B( 6, 4) 171.0000 0.000000
B( 6, 5) 184.5000 0.000000
B( 7, 1) 99.00000 0.000000
B( 7, 2) 144.0000 0.000000
B( 7, 3) 63.00000 0.000000
B( 7, 4) 230.4000 0.000000
B( 7, 5) 171.0000 0.000000
B( 8, 1) 189.0000 0.000000
B( 8, 2) 171.0000 0.000000
B( 8, 3) 171.0000 0.000000
B( 8, 4) 189.0000 0.000000
B( 8, 5) 180.0000 0.000000
B( 9, 1) 120.0000 0.000000
B( 9, 2) 135.0000 0.000000
B( 9, 3) 162.0000 0.000000
B( 9, 4) 63.00000 0.000000
B( 9, 5) 108.0000 0.000000
X( 1, 1) 0.000000 1680.000
X( 1, 2) 0.000000 1680.000
X( 1, 3) 1.000000 2400.000
X( 1, 4) 1.000000 2400.000
X( 1, 5) 1.000000 1620.000
X( 2, 1) 1.000000 1620.000
X( 2, 2) 1.000000 1728.000
X( 2, 3) 1.000000 1620.000
X( 2, 4) 1.000000 1440.000
X( 2, 5) 1.000000 1620.000
X( 3, 1) 0.000000 1080.000
X( 3, 2) 1.000000 3375.000
X( 3, 3) 1.000000 2304.000
X( 3, 4) 1.000000 2500.000
X( 3, 5) 0.000000 1680.000
X( 4, 1) 0.000000 1680.000
X( 4, 2) 1.000000 2400.000
X( 4, 3) 1.000000 2400.000
X( 4, 4) 1.000000 1620.000
X( 4, 5) 1.000000 1620.000
X( 5, 1) 1.000000 1728.000
X( 5, 2) 1.000000 1620.000
X( 5, 3) 1.000000 1440.000
X( 5, 4) 1.000000 1620.000
X( 5, 5) 1.000000 1080.000
X( 6, 1) 1.000000 3375.000
X( 6, 2) 1.000000 2304.000
X( 6, 3) 1.000000 2500.000
X( 6, 4) 1.000000 2304.000
X( 6, 5) 1.000000 2500.000
X( 7, 1) 1.000000 1440.000
X( 7, 2) 1.000000 1620.000
X( 7, 3) 0.000000 1080.000
X( 7, 4) 1.000000 3372.000
X( 7, 5) 1.000000 2304.000
X( 8, 1) 1.000000 2500.000
X( 8, 2) 1.000000 2304.000
X( 8, 3) 1.000000 2304.000
X( 8, 4) 1.000000 2500.000
X( 8, 5) 1.000000 2304.000
X( 9, 1) 0.000000 2500.000
X( 9, 2) 0.000000 2304.000
X( 9, 3) 1.000000 2304.000
X( 9, 4) 0.000000 1250.000
X( 9, 5) 0.000000 2160.000
W( 1, 1) 1680.000 0.000000
W( 1, 2) 1680.000 0.000000
W( 1, 3) 2400.000 0.000000
W( 1, 4) 2400.000 0.000000
W( 1, 5) 1620.000 0.000000
W( 2, 1) 1620.000 0.000000
W( 2, 2) 1728.000 0.000000
W( 2, 3) 1620.000 0.000000
W( 2, 4) 1440.000 0.000000
W( 2, 5) 1620.000 0.000000
W( 3, 1) 1080.000 0.000000
W( 3, 2) 3375.000 0.000000
W( 3, 3) 2304.000 0.000000
W( 3, 4) 2500.000 0.000000
W( 3, 5) 1680.000 0.000000
W( 4, 1) 1680.000 0.000000
W( 4, 2) 2400.000 0.000000
W( 4, 3) 2400.000 0.000000
W( 4, 4) 1620.000 0.000000
W( 4, 5) 1620.000 0.000000
W( 5, 1) 1728.000 0.000000
W( 5, 2) 1620.000 0.000000
W( 5, 3) 1440.000 0.000000
W( 5, 4) 1620.000 0.000000
W( 5, 5) 1080.000 0.000000
W( 6, 1) 3375.000 0.000000
W( 6, 2) 2304.000 0.000000
W( 6, 3) 2500.000 0.000000
W( 6, 4) 2304.000 0.000000
W( 6, 5) 2500.000 0.000000
W( 7, 1) 1440.000 0.000000
W( 7, 2) 1620.000 0.000000
W( 7, 3) 1080.000 0.000000
W( 7, 4) 3372.000 0.000000
W( 7, 5) 2304.000 0.000000
W( 8, 1) 2500.000 0.000000
W( 8, 2) 2304.000 0.000000
W( 8, 3) 2304.000 0.000000
W( 8, 4) 2500.000 0.000000
W( 8, 5) 2304.000 0.000000
W( 9, 1) 2500.000 0.000000
W( 9, 2) 2304.000 0.000000
W( 9, 3) 2304.000 0.000000
W( 9, 4) 1250.000 0.000000
W( 9, 5) 2160.000 0.000000
Row Slack or Surplus Dual Price
1 74090.00 -1.000000
2 2.000000 0.000000
3 0.000000 0.000000
4 2.000000 0.000000
5 1.000000 0.000000
6 0.000000 0.000000
7 0.000000 0.000000
8 1.000000 0.000000
9 0.000000 0.000000
10 4.000000 0.000000
11 4.000000 0.000000
12 2.000000 0.000000
13 1.000000 0.000000
14 1.000000 0.000000
15 2.000000 0.000000
16 6.400000 0.000000
17 8.800000 0.000000
18 19.30000 0.000000
19 19.30000 0.000000
20 12.80000 0.000000
21 12.00000 0.000000
22 12.00000 0.000000
23 12.00000 0.000000
24 11.00000 0.000000
25 12.00000 0.000000
26 6.400000 0.000000
27 24.70000 0.000000
28 19.00000 0.000000
29 21.00000 0.000000
30 7.000000 0.000000
31 8.500000 0.000000
32 19.20000 0.000000
33 19.50000 0.000000
34 12.80000 0.000000
35 12.00000 0.000000
36 12.00000 0.000000
37 12.00000 0.000000
38 11.00000 0.000000
39 16.00000 0.000000
40 7.000000 0.000000
41 25.60000 0.000000
42 19.00000 0.000000
43 21.00000 0.000000
44 19.00000 0.000000
45 20.50000 0.000000
46 11.00000 0.000000
47 16.00000 0.000000
48 7.000000 0.000000
49 25.60000 0.000000
50 19.00000 0.000000
51 21.00000 0.000000
52 19.00000 0.000000
53 19.00000 0.000000
54 21.00000 0.000000
55 20.00000 0.000000
56 0.000000 0.000000
57 15.00000 0.000000
58 18.00000 0.000000
59 7.000000 0.000000
60 12.00000 0.000000
61 0.000000 0.000000
62 0.000000 0.000000
63 0.000000 0.000000
64 0.000000 0.000000
65 0.000000 0.000000
66 0.000000 0.000000
67 0.000000 0.000000
68 0.000000 0.000000
69 0.000000 0.000000
70 0.000000 0.000000
71 0.000000 0.000000
72 0.000000 0.000000
73 0.000000 0.000000
74 0.000000 0.000000
75 0.000000 0.000000
76 0.000000 0.000000
77 0.000000 0.000000
78 0.000000 0.000000
79 0.000000 0.000000
80 0.000000 0.000000
81 0.000000 0.000000
82 0.000000 0.000000
83 0.000000 0.000000
84 0.000000 0.000000
85 0.000000 0.000000
86 0.000000 0.000000
87 0.000000 0.000000
88 0.000000 0.000000
89 0.000000 0.000000
90 0.000000 0.000000
91 0.000000 0.000000
92 0.000000 0.000000
93 0.000000 0.000000
94 0.000000 0.000000
95 0.000000 0.000000
96 0.000000 0.000000
97 0.000000 0.000000
98 0.000000 0.000000
99 0.000000 0.000000
100 0.000000 0.000000
101 15.00000 0.000000
102 0.000000 0.000000
103 0.000000 0.000000
104 0.000000 0.000000
105 0.000000 0.000000
106 1.700000 0.000000
107 278.3000 0.000000
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