SlideShare une entreprise Scribd logo
1  sur  7
11-7) select the highest quality combination of applications for low power radio station licences. max 45x1+30x2+84x3+73x4+80x5+70x6+61x7+91x8stx1+x2≤1x2+x5≤1x3≤1x4+x7≤1x5+x7+x6≤1x6+x7≤1x7+x4≤1x8≤1endinte x1inte x2inte x3inte x4inte x5inte x6inte x7inte x8LP OPTIMUM FOUND AT STEP     12 OBJECTIVE VALUE =   373.000000 NEW INTEGER SOLUTION OF    373.000000     AT BRANCH      0 PIVOT      12 RE-INSTALLING BEST SOLUTION...        OBJECTIVE FUNCTION VALUE        1)      373.0000  VARIABLE        VALUE          REDUCED COST        X1         1.000000        -45.000000        X2         0.000000        -30.000000        X3         1.000000        -84.000000        X4         1.000000        -73.000000        X5         1.000000        -80.000000        X6         0.000000        -70.000000        X7         0.000000        -61.000000        X8         1.000000        -91.000000       ROW   SLACK OR SURPLUS     DUAL PRICES        2)         0.000000          0.000000        3)         0.000000          0.000000        4)         0.000000          0.000000        5)         0.000000          0.000000        6)         0.000000          0.000000        7)         1.000000          0.000000        8)         0.000000          0.000000        9)         0.000000          0.000000 NO. ITERATIONS=      12 BRANCHES=    0 DETERM.=  1.000E    0 11-9) Installing automatic traffic monitoring devices to providing full coverage min 40x1+65x2+43x3+48x4+72x5+36x6stx1+x2≥1x1+x4≥1x2+x3≥1x2+x5≥1x3+x5≥1x3+x6≥1x4+x5≥1x5+x6≥1endinte x1inte x2inte x3inte x4inte x5inte x6LP OPTIMUM FOUND AT STEP     20 OBJECTIVE VALUE =   152.000000 NEW INTEGER SOLUTION OF    155.000000     AT BRANCH      0 PIVOT      20 RE-INSTALLING BEST SOLUTION...        OBJECTIVE FUNCTION VALUE        1)      155.0000  VARIABLE        VALUE          REDUCED COST        X1         1.000000         40.000000        X2         0.000000         65.000000        X3         1.000000         43.000000        X4         0.000000         48.000000        X5         1.000000         72.000000        X6         0.000000         36.000000       ROW   SLACK OR SURPLUS     DUAL PRICES        2)         0.000000          0.000000        3)         0.000000          0.000000        4)         0.000000          0.000000        5)         0.000000          0.000000        6)         1.000000          0.000000        7)         0.000000          0.000000        8)         0.000000          0.000000        9)         0.000000          0.000000 NO. ITERATIONS=      20 BRANCHES=    0 DETERM.=  1.000E    0 11-9) Installing automatic traffic monitoring devices to providing full coverage(minimizing the number of uncovered road links while using at most 2 stations) min y1+y2+y3+y4+y5+y6+y7+y8stx1+x2+y1>1x1+x4+y2>1x2+x3+y3>1x2+x5+y4>1x3+x5+y5>1x3+x6+y6>1x4+x5+y7>1x5+x6+y8>1x1+x2+x3+x4+x5+x6<2endinte x1inte x2inte x3inte x4inte x5inte x6inte y1inte y2inte y3inte y4inte y5inte y6inte y7inte y8NEW INTEGER SOLUTION OF    2.00000000     AT BRANCH      0 PIVOT      12 RE-INSTALLING BEST SOLUTION...        OBJECTIVE FUNCTION VALUE        1)      2.000000  VARIABLE        VALUE          REDUCED COST        X1         0.000000          0.000000        X2         0.000000          0.000000        X3         1.000000          0.000000        X4         0.000000          0.000000        X5         1.000000          0.000000        X6         0.000000          0.000000        Y1         1.000000          1.000000        Y2         1.000000          1.000000        Y3         0.000000          1.000000        Y4         0.000000          1.000000        Y5         0.000000          1.000000        Y6         0.000000          1.000000        Y7         0.000000          1.000000        Y8         0.000000          1.000000       ROW   SLACK OR SURPLUS     DUAL PRICES        2)         0.000000          0.000000        3)         0.000000          0.000000        4)         0.000000          0.000000        5)         0.000000          0.000000        6)         1.000000          0.000000        7)         0.000000          0.000000        8)         0.000000          0.000000        9)         0.000000          0.000000       10)         0.000000          0.000000 NO. ITERATIONS=      12 BRANCHES=    0 DETERM.=  1.000E    0 11-9) Installing automatic traffic monitoring devices to providing full coverage(maximizing the number of covered road links while using at most 2 stations) max y1+y2+y3+y4+y5+y6+y7+y8stx1+x2+y1>0x1+x4+y2>0x2+x3+y3>0x2+x5+y4>0x3+x5+y5>0x3+x6+y6>0x4+x5+y7>0x5+x6+y8>0y1-x1<0y1-x2<0y2-x1<0y2-x4<0y3-x2<0y3-x3<0y4-x2<0y4-x5<0y5-x3<0y5-x5<0y6-x3<0y6-x6<0y7-x4<0y7-x5<0y8-x5<0y8-x6<0x1+x2+x3+x4+x5+x6<2endinte x1inte x2inte x3inte x4inte x5inte x6inte y1inte y2inte y3inte y4inte y5inte y6inte y7inte y8LP OPTIMUM FOUND AT STEP     34 OBJECTIVE VALUE =   2.66666675 NEW INTEGER SOLUTION OF    1.00000000     AT BRANCH      0 PIVOT      34 RE-INSTALLING BEST SOLUTION...        OBJECTIVE FUNCTION VALUE        1)      1.000000  VARIABLE        VALUE          REDUCED COST        X1         0.000000          0.000000        X2         0.000000          0.000000        X3         1.000000          0.000000        X4         0.000000          0.000000        X5         1.000000          0.000000        X6         0.000000          0.000000        Y1         0.000000         -1.000000        Y2         0.000000         -1.000000        Y3         0.000000         -1.000000        Y4         0.000000         -1.000000        Y5         1.000000         -1.000000        Y6         0.000000         -1.000000        Y7         0.000000         -1.000000        Y8         0.000000         -1.000000       ROW   SLACK OR SURPLUS     DUAL PRICES        2)         0.000000          0.000000        3)         0.000000          0.000000        4)         1.000000          0.000000        5)         1.000000          0.000000        6)         3.000000          0.000000        7)         1.000000          0.000000        8)         1.000000          0.000000        9)         1.000000          0.000000       10)         0.000000          0.000000       11)         0.000000          0.000000       12)         0.000000          0.000000       13)         0.000000          0.000000       14)         0.000000          0.000000       15)         1.000000          0.000000       16)         0.000000          0.000000       17)         1.000000          0.000000       18)         0.000000          0.000000       19)         0.000000          0.000000       20)         1.000000          0.000000       21)         0.000000          0.000000       22)         0.000000          0.000000       23)         1.000000          0.000000       24)         1.000000          0.000000       25)         0.000000          0.000000       26)         0.000000          0.000000 NO. ITERATIONS=      34 BRANCHES=    0 DETERM.=  1.000E    0 11-25) locations for new distribution centers to serve it customers min 66x11+90x12+135x13+75x14+44x21+56x22+75x23+150x24+55x31+144x32+30x33+100x34+200y1+400y2+225y3stx11+x21+x31=1x12+x22+x32=1x13+x23+x33=1x14+x24+x34=111x11-69y1<011x21-69y2<011x31-69y3<018x12-69y1<018x22-69y2<018x32-69y3<015x13-69y1<015x23-69y2<015x33-69y3<025x14-69y1<025x24-69y2<025x34-69y3<0x11>0x12>0x13>0x14>0x21>0x22>0x23>0x24>0x31>0x32>0x33>0x34>0endinte y1inte y2inte y3LP OPTIMUM FOUND AT STEP     69 OBJECTIVE VALUE =   358.086945 NEW INTEGER SOLUTION OF    554.000000     AT BRANCH      0 PIVOT     102 BOUND ON OPTIMUM:  554.0000 ENUMERATION COMPLETE. BRANCHES=     0 PIVOTS=     102 LAST INTEGER SOLUTION IS THE BEST FOUND RE-INSTALLING BEST SOLUTION...        OBJECTIVE FUNCTION VALUE        1)      554.0000  VARIABLE        VALUE          REDUCED COST        Y1         0.000000        -76.000000        Y2         0.000000         -6.333333        Y3         1.000000        225.000000       X11         0.000000         11.000000       X12         0.000000          0.000000       X13         0.000000          0.000000       X14         0.000000          0.000000       X21         0.000000          0.000000       X22         0.000000          0.000000       X23         0.000000         45.000000       X24         0.000000          0.000000       X31         1.000000          0.000000       X32         1.000000          0.000000       X33         1.000000          0.000000       X34         1.000000          0.000000       ROW   SLACK OR SURPLUS     DUAL PRICES        2)         0.000000        -55.000000        3)         0.000000       -144.000000        4)         0.000000        -30.000000        5)         0.000000       -100.000000        6)         0.000000          0.000000        7)         0.000000          1.000000        8)        58.000000          0.000000        9)         0.000000          3.000000       10)         0.000000          4.888889       11)        51.000000          0.000000       12)         0.000000          0.000000       13)         0.000000          0.000000       14)        54.000000          0.000000       15)         0.000000          1.000000       16)         0.000000          0.000000       17)        44.000000          0.000000       18)         0.000000          0.000000       19)         0.000000          0.000000       20)         0.000000       -105.000000       21)         0.000000          0.000000       22)         0.000000          0.000000       23)         0.000000          0.000000       24)         0.000000          0.000000       25)         0.000000        -50.000000       26)         1.000000          0.000000       27)         1.000000          0.000000       28)         1.000000          0.000000       29)         1.000000          0.000000 NO. ITERATIONS=     109 BRANCHES=    0 DETERM.=  1.000E    0 11-27) moving natural gas from fields to storage areas Min 2000x13+2000x21+2000x23+2000x24+2000x34+8y13+6y21+10y23+14y24+2y34stx13-x21=800x21+x23+x24=600x35+x34-x23-x13=0x45-x34-x24=0x35+x45=1400x13-1000y13<0x21-1000y21<0x23-1000y23<0x24-1000y24<0x34-1000y34<0x35<1000x45<1000x13>0x21>0x23>0x24>0x34>0x35>0x45>0endinte y13inte y21inte y23inte y24inte y3454231LP OPTIMUM FOUND AT STEP     59 OBJECTIVE VALUE =   2800014.00 FIX ALL VARS.(    2)  WITH RC >  0.000000E+00 SET      Y23 TO <=     0 AT    1, BND= -0.2800E+07 TWIN=-0.2800E+07     71 NEW INTEGER SOLUTION OF    2800022.00     AT BRANCH      4 PIVOT      71 BOUND ON OPTIMUM:  2800021. DELETE      Y23 AT LEVEL     1 ENUMERATION COMPLETE. BRANCHES=     4 PIVOTS=      71 LAST INTEGER SOLUTION IS THE BEST FOUND RE-INSTALLING BEST SOLUTION...        OBJECTIVE FUNCTION VALUE        1)      2800022.  VARIABLE        VALUE          REDUCED COST       Y13         1.000000          8.000000       Y21         0.000000          6.000000       Y23         0.000000         10.000000       Y24         1.000000         14.000000       Y34         0.000000          2.000000       X13       800.000000          0.000000       X21         0.000000       2000.000000       X23         0.000000          0.000000       X24       600.000000          0.000000       X34         0.000000       2000.000000       X35       800.000000          0.000000       X45       600.000000          0.000000       ROW   SLACK OR SURPLUS     DUAL PRICES        2)         0.000000          0.000000        3)         0.000000          0.000000        4)         0.000000       2000.000000        5)         0.000000       2000.000000        6)         0.000000      -2000.000000        7)       200.000000          0.000000        8)         0.000000          0.000000        9)         0.000000          0.000000       10)       400.000000          0.000000       11)         0.000000          0.000000       12)       200.000000          0.000000       13)       400.000000          0.000000       14)       800.000000          0.000000       15)         0.000000          0.000000       16)         0.000000          0.000000       17)       600.000000          0.000000       18)         0.000000          0.000000       19)       800.000000          0.000000       20)       600.000000          0.000000 NO. ITERATIONS=      72 BRANCHES=    4 DETERM.=  1.000E    0 wastwater problem Min 21x12+30x13+22x23+58x24+43x34+x39+49x43+63x48+44x56+51x57+56x67+94x68+82x74+x79+2x89+240y12+350y13+200y23+750y24+610y34+3800y39+1840y43+780y48+620y56+800y57+500y67+630y68+1120y74+3800y79+2500y89stx12+x13=27-x12+x23+x24=3-x13-x23-x43+x34+x39=14-x24-x34-x74+x43+x48=36x56+x57=21-x56+x67+x68=8-x57-x67+x74+x79=13x48+x68-x89=0x39+x79+x89=122x12-27y12<0x13-27y13<0x23-30y23<0x24-30y24<0x34-44y34<0x39-122y39<0x43-108y43<0x48-122y48<0x56-21y56<0x57-21y57<0x67-29y67<0x68-29y68<0x74-42y74<0x79-42y79<0x89-122y89<0x12>0x13>0x23>0x24>0x34>0x39>0x43>0x48>0x56>0x57>0x67>0x68>0x74>0x79>0x89>0endinte y12inte y13inte y23inte y24inte y34inte y39inte y43inte y48inte y56inte y57inte y67inte y68inte y74inte y79inte y89LP OPTIMUM FOUND AT STEP    143 OBJECTIVE VALUE =   12055.2783 SET      Y39 TO >=     1 AT    1, BND= -0.1359E+05 TWIN=-0.1718E+05    170 SET      Y43 TO <=     0 AT    2, BND= -0.1448E+05 TWIN=-0.1482E+05    173 SET      Y74 TO <=     0 AT    3, BND= -0.1448E+05 TWIN=-0.1000E+31    173 SET      Y89 TO >=     1 AT    4, BND= -0.1608E+05 TWIN=-0.1000E+31    178 DELETE      Y89 AT LEVEL     4 DELETE      Y74 AT LEVEL     3 FLIP      Y43 TO >=         1 AT    2 WITH BND=   -14816.918 SET      Y74 TO <=     0 AT    3, BND= -0.1482E+05 TWIN=-0.1000E+31    178 SET      Y89 TO <=     0 AT    4, BND= -0.1503E+05 TWIN=-0.1715E+05    184 SET      Y56 TO <=     0 AT    5, BND= -0.1503E+05 TWIN=-0.1000E+31    184 SET      Y67 TO >=     1 AT    6, BND= -0.1539E+05 TWIN=-0.1000E+31    185 SET      Y12 TO <=     0 AT    7, BND= -0.1539E+05 TWIN=-0.1000E+31    185 SET      Y13 TO >=     1 AT    8, BND= -0.1539E+05 TWIN=-0.1000E+31    185 SET      Y23 TO >=     1 AT    9, BND= -0.1557E+05 TWIN=-0.1570E+05    188 NEW INTEGER SOLUTION OF    15571.0000     AT BRANCH     20 PIVOT     188 BOUND ON OPTIMUM:  15571.00 DELETE      Y23 AT LEVEL     9 DELETE      Y13 AT LEVEL     8 DELETE      Y12 AT LEVEL     7 DELETE      Y67 AT LEVEL     6 DELETE      Y56 AT LEVEL     5 DELETE      Y89 AT LEVEL     4 DELETE      Y74 AT LEVEL     3 DELETE      Y43 AT LEVEL     2 DELETE      Y39 AT LEVEL     1 ENUMERATION COMPLETE. BRANCHES=    20 PIVOTS=     188 LAST INTEGER SOLUTION IS THE BEST FOUND RE-INSTALLING BEST SOLUTION...        OBJECTIVE FUNCTION VALUE        1)      15571.00  VARIABLE        VALUE          REDUCED COST       Y12         0.000000        240.000000       Y13         1.000000         -1.000000       Y23         1.000000        200.000000       Y24         0.000000        750.000000       Y34         0.000000        610.000000       Y39         1.000000       3800.000000       Y43         1.000000       1840.000000       Y48         0.000000      -2148.000000       Y56         0.000000        620.000000       Y57         1.000000        800.000000       Y67         1.000000        500.000000       Y68         0.000000        630.000000       Y74         0.000000       1120.000000       Y79         1.000000       3800.000000       Y89         0.000000       2500.000000       X12         0.000000          0.000000       X13        27.000000          0.000000       X23         3.000000          0.000000       X24         0.000000         85.000000       X34         0.000000         92.000000       X39        80.000000          0.000000       X43        36.000000          0.000000       X48         0.000000          0.000000       X56         0.000000         49.000000       X57        21.000000          0.000000       X67         8.000000          0.000000       X68         0.000000          0.000000       X74         0.000000        131.000000       X79        42.000000          0.000000       X89         0.000000         39.000000       ROW   SLACK OR SURPLUS     DUAL PRICES        2)         0.000000          6.000000        3)         0.000000         27.000000        4)         0.000000         49.000000        5)         0.000000          0.000000        6)         0.000000         -2.000000        7)         0.000000         -7.000000        8)         0.000000         49.000000        9)         0.000000        -87.000000       10)         0.000000        -50.000000       11)         0.000000          0.000000       12)         0.000000         13.000000       13)        27.000000          0.000000       14)         0.000000          0.000000       15)         0.000000          0.000000       16)        42.000000          0.000000       17)        72.000000          0.000000       18)         0.000000         24.000000       19)         0.000000          0.000000       20)         0.000000          0.000000       21)        21.000000          0.000000       22)         0.000000          0.000000       23)         0.000000          0.000000       24)         0.000000          0.000000       25)         0.000000          0.000000       26)         0.000000          0.000000       27)        27.000000          0.000000       28)         3.000000          0.000000       29)         0.000000          0.000000       30)         0.000000          0.000000       31)        80.000000          0.000000       32)        36.000000          0.000000       33)         0.000000          0.000000       34)         0.000000          0.000000       35)        21.000000          0.000000       36)         8.000000          0.000000       37)         0.000000          0.000000       38)         0.000000          0.000000       39)        42.000000          0.000000       40)         0.000000          0.000000 NO. ITERATIONS=     199 BRANCHES=   20 DETERM.=  1.000E    0 NCB circuit board S= proper subset of the points to be routedDecision variables(i&j=1,2,…,10)xij=1    if the route includes a leg between i &and &j0     otherwise                                                             Objective functionMin 3.6x12+5.1x13+10x14+15.3x15+20x16+16x17+14.2x18+23x19+26.4x110+3.6x23+6.4x24+21.1x25+18.1x26+13.2x27+10.6x28+19.7x29+23x210+7.1x34+10.6x35+15x36+15.8x37+10.8x38+18.4x39+21.9x310+7x45+15.7x46+10x47+4.2x48+13.9x49+17x410+9.9x56+15.3x57+5x58+7.3x59+11.3x510+25x67+14.9x68+12x69+15x610+10.3x78+19.2x79+21x710+10.2x89+13x810+3.6x910stx12+x13+x14+x15+x16+x17+x18+x19+x110=2x12+x23+x24+x25+x26+x27+x28+x29+x210=2x13+x23+x34+x35+x36+x37+x38+x39+x310=2x14+x24+x34+x45+x46+x47+x48+x49+x410=2x15+x25+x35+x45+x56+x57+x58+x59+x510=2x16+x26+x36+x46+x56+x67+x68+x69+x610=2x17+x27+x37+x47+x57+x67+x78+x79+x710=2x18+x28+x38+x48+x58+x68+x78+x89+x810=2x19+x29+x39+x49+x59+x69+x79+x89+x910=2(number of legs between points in S & points not in S)x110+x210+x310+x410+x510+x610+x710+x810+x910=2i∈Sj∉SXij+i∉Sj∈SXij≥2Xij=0 or 1  for all i&j=1,2,…,10 NCB circuit board Decision variables(i&k&j=1,2,…,10)yki=1    if the route includes a leg between i &and &j0     otherwise                                                             Objective functionMin 3.6(y11y22+y21y32+y31y42+y41y52+…+y91y102)+5.1(y11y23+y21y33+y31y43+…+y91y103)+…+3.6(y110y29+y210y39+y310y49+…+y910y109)st(for k=1,2,…,10)iYki=1(for i=1,2,…,10)kYki=1Xij=0 or 1  for all i&j=1,2,…,10
All
All
All
All
All
All

Contenu connexe

En vedette

160210 Auto Invest Rusnano
160210 Auto Invest Rusnano160210 Auto Invest Rusnano
160210 Auto Invest Rusnanospbinno
 
Презентация ИКЦ
Презентация ИКЦПрезентация ИКЦ
Презентация ИКЦspbinno
 
Alan Hurd Foundation, Fundamentals, & Leadership
Alan Hurd Foundation, Fundamentals, & LeadershipAlan Hurd Foundation, Fundamentals, & Leadership
Alan Hurd Foundation, Fundamentals, & LeadershipAlan Hurd
 
La sintaxis de la imagen
La sintaxis de la imagenLa sintaxis de la imagen
La sintaxis de la imagenwww.tdg3.com.ar
 
CSR Polskich firm na rynkach zagranicznych. CSR of Polish companies on foreig...
CSR Polskich firm na rynkach zagranicznych. CSR of Polish companies on foreig...CSR Polskich firm na rynkach zagranicznych. CSR of Polish companies on foreig...
CSR Polskich firm na rynkach zagranicznych. CSR of Polish companies on foreig...Fundacja CentrumCSR.PL
 
Success Strategies For Indirect And National Retail
Success Strategies For Indirect And National RetailSuccess Strategies For Indirect And National Retail
Success Strategies For Indirect And National RetailAlan Hurd
 
Alan Hurd Strategic 100 Day Action Plan Example
Alan Hurd   Strategic 100 Day Action Plan ExampleAlan Hurd   Strategic 100 Day Action Plan Example
Alan Hurd Strategic 100 Day Action Plan ExampleAlan Hurd
 

En vedette (14)

160210 Auto Invest Rusnano
160210 Auto Invest Rusnano160210 Auto Invest Rusnano
160210 Auto Invest Rusnano
 
Parachute2
Parachute2Parachute2
Parachute2
 
Interaktivosztaly
InteraktivosztalyInteraktivosztaly
Interaktivosztaly
 
Презентация ИКЦ
Презентация ИКЦПрезентация ИКЦ
Презентация ИКЦ
 
Dino Rey
Dino ReyDino Rey
Dino Rey
 
Alan Hurd Foundation, Fundamentals, & Leadership
Alan Hurd Foundation, Fundamentals, & LeadershipAlan Hurd Foundation, Fundamentals, & Leadership
Alan Hurd Foundation, Fundamentals, & Leadership
 
La sintaxis de la imagen
La sintaxis de la imagenLa sintaxis de la imagen
La sintaxis de la imagen
 
CSR Polskich firm na rynkach zagranicznych. CSR of Polish companies on foreig...
CSR Polskich firm na rynkach zagranicznych. CSR of Polish companies on foreig...CSR Polskich firm na rynkach zagranicznych. CSR of Polish companies on foreig...
CSR Polskich firm na rynkach zagranicznych. CSR of Polish companies on foreig...
 
Exercícios matemática
Exercícios   matemáticaExercícios   matemática
Exercícios matemática
 
Success Strategies For Indirect And National Retail
Success Strategies For Indirect And National RetailSuccess Strategies For Indirect And National Retail
Success Strategies For Indirect And National Retail
 
Prezent
PrezentPrezent
Prezent
 
test
testtest
test
 
Alan Hurd Strategic 100 Day Action Plan Example
Alan Hurd   Strategic 100 Day Action Plan ExampleAlan Hurd   Strategic 100 Day Action Plan Example
Alan Hurd Strategic 100 Day Action Plan Example
 
Nanotecnologia
NanotecnologiaNanotecnologia
Nanotecnologia
 

Similaire à All

[Name Sponged] Consulting Project
[Name Sponged] Consulting Project[Name Sponged] Consulting Project
[Name Sponged] Consulting ProjectRyan Elder
 
Factorial design
Factorial designFactorial design
Factorial designGaurav Kr
 
SPICE MODEL of ZR6_RL=8.2(Ohm) in SPICE PARK
SPICE MODEL of ZR6_RL=8.2(Ohm) in SPICE PARKSPICE MODEL of ZR6_RL=8.2(Ohm) in SPICE PARK
SPICE MODEL of ZR6_RL=8.2(Ohm) in SPICE PARKTsuyoshi Horigome
 
slides36.pptx
slides36.pptxslides36.pptx
slides36.pptxDarSafwan
 
Variation and Quality (2.008x Lecture Slides)
Variation and Quality (2.008x Lecture Slides)Variation and Quality (2.008x Lecture Slides)
Variation and Quality (2.008x Lecture Slides)A. John Hart
 
Reliable multimedia transmission under noisy condition
Reliable multimedia transmission under noisy conditionReliable multimedia transmission under noisy condition
Reliable multimedia transmission under noisy conditionShahrukh Ali Khan
 
03b Bri 3 Year Monthly Forcasts Y1
03b Bri   3 Year Monthly Forcasts Y103b Bri   3 Year Monthly Forcasts Y1
03b Bri 3 Year Monthly Forcasts Y1Thomas J. Lewis
 
Pajek chapter2 Attributes and Relations
Pajek chapter2 Attributes and RelationsPajek chapter2 Attributes and Relations
Pajek chapter2 Attributes and RelationsChengjun Wang
 
TC74VCX244FT PSpice Model (Free SPICE Model)
TC74VCX244FT PSpice Model (Free SPICE Model)TC74VCX244FT PSpice Model (Free SPICE Model)
TC74VCX244FT PSpice Model (Free SPICE Model)Tsuyoshi Horigome
 
Vpectrl3 ram steel - beam summary
Vpectrl3   ram steel - beam summaryVpectrl3   ram steel - beam summary
Vpectrl3 ram steel - beam summarycathexis123
 
ระบบเลขฐานนี้ใช้ตัวเลข
ระบบเลขฐานนี้ใช้ตัวเลขระบบเลขฐานนี้ใช้ตัวเลข
ระบบเลขฐานนี้ใช้ตัวเลขjibjoy_butsaya
 

Similaire à All (20)

Debugging TV Frame 0x01
Debugging TV Frame 0x01Debugging TV Frame 0x01
Debugging TV Frame 0x01
 
Spatial filtering
Spatial filteringSpatial filtering
Spatial filtering
 
recipes
recipesrecipes
recipes
 
Part b
Part bPart b
Part b
 
[Name Sponged] Consulting Project
[Name Sponged] Consulting Project[Name Sponged] Consulting Project
[Name Sponged] Consulting Project
 
Factorial design
Factorial designFactorial design
Factorial design
 
SPICE MODEL of ZR6_RL=8.2(Ohm) in SPICE PARK
SPICE MODEL of ZR6_RL=8.2(Ohm) in SPICE PARKSPICE MODEL of ZR6_RL=8.2(Ohm) in SPICE PARK
SPICE MODEL of ZR6_RL=8.2(Ohm) in SPICE PARK
 
slides36.pptx
slides36.pptxslides36.pptx
slides36.pptx
 
Crystal display systems (cds) industrial display and touchscreen overview
Crystal display systems (cds) industrial display and touchscreen overviewCrystal display systems (cds) industrial display and touchscreen overview
Crystal display systems (cds) industrial display and touchscreen overview
 
Variation and Quality (2.008x Lecture Slides)
Variation and Quality (2.008x Lecture Slides)Variation and Quality (2.008x Lecture Slides)
Variation and Quality (2.008x Lecture Slides)
 
Reliable multimedia transmission under noisy condition
Reliable multimedia transmission under noisy conditionReliable multimedia transmission under noisy condition
Reliable multimedia transmission under noisy condition
 
03b Bri 3 Year Monthly Forcasts Y1
03b Bri   3 Year Monthly Forcasts Y103b Bri   3 Year Monthly Forcasts Y1
03b Bri 3 Year Monthly Forcasts Y1
 
task3
task3task3
task3
 
Diseno a corte
Diseno a corteDiseno a corte
Diseno a corte
 
Pajek chapter2 Attributes and Relations
Pajek chapter2 Attributes and RelationsPajek chapter2 Attributes and Relations
Pajek chapter2 Attributes and Relations
 
TC74VCX244FT PSpice Model (Free SPICE Model)
TC74VCX244FT PSpice Model (Free SPICE Model)TC74VCX244FT PSpice Model (Free SPICE Model)
TC74VCX244FT PSpice Model (Free SPICE Model)
 
Vpectrl3 ram steel - beam summary
Vpectrl3   ram steel - beam summaryVpectrl3   ram steel - beam summary
Vpectrl3 ram steel - beam summary
 
Soluciones
SolucionesSoluciones
Soluciones
 
Soluciones
SolucionesSoluciones
Soluciones
 
ระบบเลขฐานนี้ใช้ตัวเลข
ระบบเลขฐานนี้ใช้ตัวเลขระบบเลขฐานนี้ใช้ตัวเลข
ระบบเลขฐานนี้ใช้ตัวเลข
 

All

  • 1. 11-7) select the highest quality combination of applications for low power radio station licences. max 45x1+30x2+84x3+73x4+80x5+70x6+61x7+91x8stx1+x2≤1x2+x5≤1x3≤1x4+x7≤1x5+x7+x6≤1x6+x7≤1x7+x4≤1x8≤1endinte x1inte x2inte x3inte x4inte x5inte x6inte x7inte x8LP OPTIMUM FOUND AT STEP 12 OBJECTIVE VALUE = 373.000000 NEW INTEGER SOLUTION OF 373.000000 AT BRANCH 0 PIVOT 12 RE-INSTALLING BEST SOLUTION... OBJECTIVE FUNCTION VALUE 1) 373.0000 VARIABLE VALUE REDUCED COST X1 1.000000 -45.000000 X2 0.000000 -30.000000 X3 1.000000 -84.000000 X4 1.000000 -73.000000 X5 1.000000 -80.000000 X6 0.000000 -70.000000 X7 0.000000 -61.000000 X8 1.000000 -91.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 0.000000 3) 0.000000 0.000000 4) 0.000000 0.000000 5) 0.000000 0.000000 6) 0.000000 0.000000 7) 1.000000 0.000000 8) 0.000000 0.000000 9) 0.000000 0.000000 NO. ITERATIONS= 12 BRANCHES= 0 DETERM.= 1.000E 0 11-9) Installing automatic traffic monitoring devices to providing full coverage min 40x1+65x2+43x3+48x4+72x5+36x6stx1+x2≥1x1+x4≥1x2+x3≥1x2+x5≥1x3+x5≥1x3+x6≥1x4+x5≥1x5+x6≥1endinte x1inte x2inte x3inte x4inte x5inte x6LP OPTIMUM FOUND AT STEP 20 OBJECTIVE VALUE = 152.000000 NEW INTEGER SOLUTION OF 155.000000 AT BRANCH 0 PIVOT 20 RE-INSTALLING BEST SOLUTION... OBJECTIVE FUNCTION VALUE 1) 155.0000 VARIABLE VALUE REDUCED COST X1 1.000000 40.000000 X2 0.000000 65.000000 X3 1.000000 43.000000 X4 0.000000 48.000000 X5 1.000000 72.000000 X6 0.000000 36.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 0.000000 3) 0.000000 0.000000 4) 0.000000 0.000000 5) 0.000000 0.000000 6) 1.000000 0.000000 7) 0.000000 0.000000 8) 0.000000 0.000000 9) 0.000000 0.000000 NO. ITERATIONS= 20 BRANCHES= 0 DETERM.= 1.000E 0 11-9) Installing automatic traffic monitoring devices to providing full coverage(minimizing the number of uncovered road links while using at most 2 stations) min y1+y2+y3+y4+y5+y6+y7+y8stx1+x2+y1>1x1+x4+y2>1x2+x3+y3>1x2+x5+y4>1x3+x5+y5>1x3+x6+y6>1x4+x5+y7>1x5+x6+y8>1x1+x2+x3+x4+x5+x6<2endinte x1inte x2inte x3inte x4inte x5inte x6inte y1inte y2inte y3inte y4inte y5inte y6inte y7inte y8NEW INTEGER SOLUTION OF 2.00000000 AT BRANCH 0 PIVOT 12 RE-INSTALLING BEST SOLUTION... OBJECTIVE FUNCTION VALUE 1) 2.000000 VARIABLE VALUE REDUCED COST X1 0.000000 0.000000 X2 0.000000 0.000000 X3 1.000000 0.000000 X4 0.000000 0.000000 X5 1.000000 0.000000 X6 0.000000 0.000000 Y1 1.000000 1.000000 Y2 1.000000 1.000000 Y3 0.000000 1.000000 Y4 0.000000 1.000000 Y5 0.000000 1.000000 Y6 0.000000 1.000000 Y7 0.000000 1.000000 Y8 0.000000 1.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 0.000000 3) 0.000000 0.000000 4) 0.000000 0.000000 5) 0.000000 0.000000 6) 1.000000 0.000000 7) 0.000000 0.000000 8) 0.000000 0.000000 9) 0.000000 0.000000 10) 0.000000 0.000000 NO. ITERATIONS= 12 BRANCHES= 0 DETERM.= 1.000E 0 11-9) Installing automatic traffic monitoring devices to providing full coverage(maximizing the number of covered road links while using at most 2 stations) max y1+y2+y3+y4+y5+y6+y7+y8stx1+x2+y1>0x1+x4+y2>0x2+x3+y3>0x2+x5+y4>0x3+x5+y5>0x3+x6+y6>0x4+x5+y7>0x5+x6+y8>0y1-x1<0y1-x2<0y2-x1<0y2-x4<0y3-x2<0y3-x3<0y4-x2<0y4-x5<0y5-x3<0y5-x5<0y6-x3<0y6-x6<0y7-x4<0y7-x5<0y8-x5<0y8-x6<0x1+x2+x3+x4+x5+x6<2endinte x1inte x2inte x3inte x4inte x5inte x6inte y1inte y2inte y3inte y4inte y5inte y6inte y7inte y8LP OPTIMUM FOUND AT STEP 34 OBJECTIVE VALUE = 2.66666675 NEW INTEGER SOLUTION OF 1.00000000 AT BRANCH 0 PIVOT 34 RE-INSTALLING BEST SOLUTION... OBJECTIVE FUNCTION VALUE 1) 1.000000 VARIABLE VALUE REDUCED COST X1 0.000000 0.000000 X2 0.000000 0.000000 X3 1.000000 0.000000 X4 0.000000 0.000000 X5 1.000000 0.000000 X6 0.000000 0.000000 Y1 0.000000 -1.000000 Y2 0.000000 -1.000000 Y3 0.000000 -1.000000 Y4 0.000000 -1.000000 Y5 1.000000 -1.000000 Y6 0.000000 -1.000000 Y7 0.000000 -1.000000 Y8 0.000000 -1.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 0.000000 3) 0.000000 0.000000 4) 1.000000 0.000000 5) 1.000000 0.000000 6) 3.000000 0.000000 7) 1.000000 0.000000 8) 1.000000 0.000000 9) 1.000000 0.000000 10) 0.000000 0.000000 11) 0.000000 0.000000 12) 0.000000 0.000000 13) 0.000000 0.000000 14) 0.000000 0.000000 15) 1.000000 0.000000 16) 0.000000 0.000000 17) 1.000000 0.000000 18) 0.000000 0.000000 19) 0.000000 0.000000 20) 1.000000 0.000000 21) 0.000000 0.000000 22) 0.000000 0.000000 23) 1.000000 0.000000 24) 1.000000 0.000000 25) 0.000000 0.000000 26) 0.000000 0.000000 NO. ITERATIONS= 34 BRANCHES= 0 DETERM.= 1.000E 0 11-25) locations for new distribution centers to serve it customers min 66x11+90x12+135x13+75x14+44x21+56x22+75x23+150x24+55x31+144x32+30x33+100x34+200y1+400y2+225y3stx11+x21+x31=1x12+x22+x32=1x13+x23+x33=1x14+x24+x34=111x11-69y1<011x21-69y2<011x31-69y3<018x12-69y1<018x22-69y2<018x32-69y3<015x13-69y1<015x23-69y2<015x33-69y3<025x14-69y1<025x24-69y2<025x34-69y3<0x11>0x12>0x13>0x14>0x21>0x22>0x23>0x24>0x31>0x32>0x33>0x34>0endinte y1inte y2inte y3LP OPTIMUM FOUND AT STEP 69 OBJECTIVE VALUE = 358.086945 NEW INTEGER SOLUTION OF 554.000000 AT BRANCH 0 PIVOT 102 BOUND ON OPTIMUM: 554.0000 ENUMERATION COMPLETE. BRANCHES= 0 PIVOTS= 102 LAST INTEGER SOLUTION IS THE BEST FOUND RE-INSTALLING BEST SOLUTION... OBJECTIVE FUNCTION VALUE 1) 554.0000 VARIABLE VALUE REDUCED COST Y1 0.000000 -76.000000 Y2 0.000000 -6.333333 Y3 1.000000 225.000000 X11 0.000000 11.000000 X12 0.000000 0.000000 X13 0.000000 0.000000 X14 0.000000 0.000000 X21 0.000000 0.000000 X22 0.000000 0.000000 X23 0.000000 45.000000 X24 0.000000 0.000000 X31 1.000000 0.000000 X32 1.000000 0.000000 X33 1.000000 0.000000 X34 1.000000 0.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 -55.000000 3) 0.000000 -144.000000 4) 0.000000 -30.000000 5) 0.000000 -100.000000 6) 0.000000 0.000000 7) 0.000000 1.000000 8) 58.000000 0.000000 9) 0.000000 3.000000 10) 0.000000 4.888889 11) 51.000000 0.000000 12) 0.000000 0.000000 13) 0.000000 0.000000 14) 54.000000 0.000000 15) 0.000000 1.000000 16) 0.000000 0.000000 17) 44.000000 0.000000 18) 0.000000 0.000000 19) 0.000000 0.000000 20) 0.000000 -105.000000 21) 0.000000 0.000000 22) 0.000000 0.000000 23) 0.000000 0.000000 24) 0.000000 0.000000 25) 0.000000 -50.000000 26) 1.000000 0.000000 27) 1.000000 0.000000 28) 1.000000 0.000000 29) 1.000000 0.000000 NO. ITERATIONS= 109 BRANCHES= 0 DETERM.= 1.000E 0 11-27) moving natural gas from fields to storage areas Min 2000x13+2000x21+2000x23+2000x24+2000x34+8y13+6y21+10y23+14y24+2y34stx13-x21=800x21+x23+x24=600x35+x34-x23-x13=0x45-x34-x24=0x35+x45=1400x13-1000y13<0x21-1000y21<0x23-1000y23<0x24-1000y24<0x34-1000y34<0x35<1000x45<1000x13>0x21>0x23>0x24>0x34>0x35>0x45>0endinte y13inte y21inte y23inte y24inte y3454231LP OPTIMUM FOUND AT STEP 59 OBJECTIVE VALUE = 2800014.00 FIX ALL VARS.( 2) WITH RC > 0.000000E+00 SET Y23 TO <= 0 AT 1, BND= -0.2800E+07 TWIN=-0.2800E+07 71 NEW INTEGER SOLUTION OF 2800022.00 AT BRANCH 4 PIVOT 71 BOUND ON OPTIMUM: 2800021. DELETE Y23 AT LEVEL 1 ENUMERATION COMPLETE. BRANCHES= 4 PIVOTS= 71 LAST INTEGER SOLUTION IS THE BEST FOUND RE-INSTALLING BEST SOLUTION... OBJECTIVE FUNCTION VALUE 1) 2800022. VARIABLE VALUE REDUCED COST Y13 1.000000 8.000000 Y21 0.000000 6.000000 Y23 0.000000 10.000000 Y24 1.000000 14.000000 Y34 0.000000 2.000000 X13 800.000000 0.000000 X21 0.000000 2000.000000 X23 0.000000 0.000000 X24 600.000000 0.000000 X34 0.000000 2000.000000 X35 800.000000 0.000000 X45 600.000000 0.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 0.000000 3) 0.000000 0.000000 4) 0.000000 2000.000000 5) 0.000000 2000.000000 6) 0.000000 -2000.000000 7) 200.000000 0.000000 8) 0.000000 0.000000 9) 0.000000 0.000000 10) 400.000000 0.000000 11) 0.000000 0.000000 12) 200.000000 0.000000 13) 400.000000 0.000000 14) 800.000000 0.000000 15) 0.000000 0.000000 16) 0.000000 0.000000 17) 600.000000 0.000000 18) 0.000000 0.000000 19) 800.000000 0.000000 20) 600.000000 0.000000 NO. ITERATIONS= 72 BRANCHES= 4 DETERM.= 1.000E 0 wastwater problem Min 21x12+30x13+22x23+58x24+43x34+x39+49x43+63x48+44x56+51x57+56x67+94x68+82x74+x79+2x89+240y12+350y13+200y23+750y24+610y34+3800y39+1840y43+780y48+620y56+800y57+500y67+630y68+1120y74+3800y79+2500y89stx12+x13=27-x12+x23+x24=3-x13-x23-x43+x34+x39=14-x24-x34-x74+x43+x48=36x56+x57=21-x56+x67+x68=8-x57-x67+x74+x79=13x48+x68-x89=0x39+x79+x89=122x12-27y12<0x13-27y13<0x23-30y23<0x24-30y24<0x34-44y34<0x39-122y39<0x43-108y43<0x48-122y48<0x56-21y56<0x57-21y57<0x67-29y67<0x68-29y68<0x74-42y74<0x79-42y79<0x89-122y89<0x12>0x13>0x23>0x24>0x34>0x39>0x43>0x48>0x56>0x57>0x67>0x68>0x74>0x79>0x89>0endinte y12inte y13inte y23inte y24inte y34inte y39inte y43inte y48inte y56inte y57inte y67inte y68inte y74inte y79inte y89LP OPTIMUM FOUND AT STEP 143 OBJECTIVE VALUE = 12055.2783 SET Y39 TO >= 1 AT 1, BND= -0.1359E+05 TWIN=-0.1718E+05 170 SET Y43 TO <= 0 AT 2, BND= -0.1448E+05 TWIN=-0.1482E+05 173 SET Y74 TO <= 0 AT 3, BND= -0.1448E+05 TWIN=-0.1000E+31 173 SET Y89 TO >= 1 AT 4, BND= -0.1608E+05 TWIN=-0.1000E+31 178 DELETE Y89 AT LEVEL 4 DELETE Y74 AT LEVEL 3 FLIP Y43 TO >= 1 AT 2 WITH BND= -14816.918 SET Y74 TO <= 0 AT 3, BND= -0.1482E+05 TWIN=-0.1000E+31 178 SET Y89 TO <= 0 AT 4, BND= -0.1503E+05 TWIN=-0.1715E+05 184 SET Y56 TO <= 0 AT 5, BND= -0.1503E+05 TWIN=-0.1000E+31 184 SET Y67 TO >= 1 AT 6, BND= -0.1539E+05 TWIN=-0.1000E+31 185 SET Y12 TO <= 0 AT 7, BND= -0.1539E+05 TWIN=-0.1000E+31 185 SET Y13 TO >= 1 AT 8, BND= -0.1539E+05 TWIN=-0.1000E+31 185 SET Y23 TO >= 1 AT 9, BND= -0.1557E+05 TWIN=-0.1570E+05 188 NEW INTEGER SOLUTION OF 15571.0000 AT BRANCH 20 PIVOT 188 BOUND ON OPTIMUM: 15571.00 DELETE Y23 AT LEVEL 9 DELETE Y13 AT LEVEL 8 DELETE Y12 AT LEVEL 7 DELETE Y67 AT LEVEL 6 DELETE Y56 AT LEVEL 5 DELETE Y89 AT LEVEL 4 DELETE Y74 AT LEVEL 3 DELETE Y43 AT LEVEL 2 DELETE Y39 AT LEVEL 1 ENUMERATION COMPLETE. BRANCHES= 20 PIVOTS= 188 LAST INTEGER SOLUTION IS THE BEST FOUND RE-INSTALLING BEST SOLUTION... OBJECTIVE FUNCTION VALUE 1) 15571.00 VARIABLE VALUE REDUCED COST Y12 0.000000 240.000000 Y13 1.000000 -1.000000 Y23 1.000000 200.000000 Y24 0.000000 750.000000 Y34 0.000000 610.000000 Y39 1.000000 3800.000000 Y43 1.000000 1840.000000 Y48 0.000000 -2148.000000 Y56 0.000000 620.000000 Y57 1.000000 800.000000 Y67 1.000000 500.000000 Y68 0.000000 630.000000 Y74 0.000000 1120.000000 Y79 1.000000 3800.000000 Y89 0.000000 2500.000000 X12 0.000000 0.000000 X13 27.000000 0.000000 X23 3.000000 0.000000 X24 0.000000 85.000000 X34 0.000000 92.000000 X39 80.000000 0.000000 X43 36.000000 0.000000 X48 0.000000 0.000000 X56 0.000000 49.000000 X57 21.000000 0.000000 X67 8.000000 0.000000 X68 0.000000 0.000000 X74 0.000000 131.000000 X79 42.000000 0.000000 X89 0.000000 39.000000 ROW SLACK OR SURPLUS DUAL PRICES 2) 0.000000 6.000000 3) 0.000000 27.000000 4) 0.000000 49.000000 5) 0.000000 0.000000 6) 0.000000 -2.000000 7) 0.000000 -7.000000 8) 0.000000 49.000000 9) 0.000000 -87.000000 10) 0.000000 -50.000000 11) 0.000000 0.000000 12) 0.000000 13.000000 13) 27.000000 0.000000 14) 0.000000 0.000000 15) 0.000000 0.000000 16) 42.000000 0.000000 17) 72.000000 0.000000 18) 0.000000 24.000000 19) 0.000000 0.000000 20) 0.000000 0.000000 21) 21.000000 0.000000 22) 0.000000 0.000000 23) 0.000000 0.000000 24) 0.000000 0.000000 25) 0.000000 0.000000 26) 0.000000 0.000000 27) 27.000000 0.000000 28) 3.000000 0.000000 29) 0.000000 0.000000 30) 0.000000 0.000000 31) 80.000000 0.000000 32) 36.000000 0.000000 33) 0.000000 0.000000 34) 0.000000 0.000000 35) 21.000000 0.000000 36) 8.000000 0.000000 37) 0.000000 0.000000 38) 0.000000 0.000000 39) 42.000000 0.000000 40) 0.000000 0.000000 NO. ITERATIONS= 199 BRANCHES= 20 DETERM.= 1.000E 0 NCB circuit board S= proper subset of the points to be routedDecision variables(i&j=1,2,…,10)xij=1 if the route includes a leg between i &and &j0 otherwise Objective functionMin 3.6x12+5.1x13+10x14+15.3x15+20x16+16x17+14.2x18+23x19+26.4x110+3.6x23+6.4x24+21.1x25+18.1x26+13.2x27+10.6x28+19.7x29+23x210+7.1x34+10.6x35+15x36+15.8x37+10.8x38+18.4x39+21.9x310+7x45+15.7x46+10x47+4.2x48+13.9x49+17x410+9.9x56+15.3x57+5x58+7.3x59+11.3x510+25x67+14.9x68+12x69+15x610+10.3x78+19.2x79+21x710+10.2x89+13x810+3.6x910stx12+x13+x14+x15+x16+x17+x18+x19+x110=2x12+x23+x24+x25+x26+x27+x28+x29+x210=2x13+x23+x34+x35+x36+x37+x38+x39+x310=2x14+x24+x34+x45+x46+x47+x48+x49+x410=2x15+x25+x35+x45+x56+x57+x58+x59+x510=2x16+x26+x36+x46+x56+x67+x68+x69+x610=2x17+x27+x37+x47+x57+x67+x78+x79+x710=2x18+x28+x38+x48+x58+x68+x78+x89+x810=2x19+x29+x39+x49+x59+x69+x79+x89+x910=2(number of legs between points in S & points not in S)x110+x210+x310+x410+x510+x610+x710+x810+x910=2i∈Sj∉SXij+i∉Sj∈SXij≥2Xij=0 or 1 for all i&j=1,2,…,10 NCB circuit board Decision variables(i&k&j=1,2,…,10)yki=1 if the route includes a leg between i &and &j0 otherwise Objective functionMin 3.6(y11y22+y21y32+y31y42+y41y52+…+y91y102)+5.1(y11y23+y21y33+y31y43+…+y91y103)+…+3.6(y110y29+y210y39+y310y49+…+y910y109)st(for k=1,2,…,10)iYki=1(for i=1,2,…,10)kYki=1Xij=0 or 1 for all i&j=1,2,…,10