==> blend.mod <== MINOS 5.5: optimal solution found. 72 iterations, objective 0.05172771778 : _varname _var := 1 'x[1]' 6.68762e-16 2 'x[2]' 4.21936e-14 3 'x[3]' 0.278954 4 'x[4]' 1.1456e-15 5 'x[5]' 0 6 'x[6]' 0 7 'x[7]' 2.24856e-13 8 'x[8]' 1.31174e-18 9 'x[9]' 2.95916e-13 10 'x[10]' 3.91486e-18 11 'x[11]' 3.91487e-18 12 'x[12]' 0.0417714 13 'x[13]' 0 14 'x[14]' 0 15 'x[15]' 0.677853 16 'x[16]' 0 17 'x[17]' 0 18 'x[18]' 0 19 'x[19]' 0 20 'x[20]' 0 21 'x[21]' 0 22 'x[22]' 0 23 'x[23]' 0 24 'x[24]' 0.0014215 ; : _conname _con := 1 'eq[1]' 0.00281575 2 'eq[2]' 0.0142946 3 'eq[3]' 0.0120672 4 'eq[4]' -0.264385 5 'eq[5]' 0.304914 6 'eq[6]' 1.00375 7 'eq[7]' 0.00843976 8 'eq[8]' -0.0493821 9 'eq[9]' -0.673374 10 'eq[10]' -0.100425 11 'eq[11]' 0.0371542 12 'eq[12]' 0.0400388 13 simplex 0.0552682 14 nl2 -0.00211879 ; ==> branin.mod <== MINOS 5.5: optimal solution found. 6 iterations, objective 0.3978873577 : _varname _var := 1 'x[1]' 3.14159 2 'x[2]' 2.275 ; : _conname _con := 1 Box1 0 2 Box2 0 ; ==> camel1.mod <== MINOS 5.5: optimal solution found. 9 iterations, objective -1.031628453 : _varname _var := 1 'x[1]' 0.089842 2 'x[2]' -0.712656 ; :_conname _con := ; ==> chemeq.mod <== MINOS 5.5: optimal solution found. 98 iterations, objective -1910.870444 : _varname _var := 1 'x[1,1]' 1.5e-06 2 'x[1,2]' 0.652927 3 'x[1,3]' 1.5e-06 4 'x[1,4]' 2.48734e-05 5 'x[1,6]' 4.5e-06 6 'x[2,1]' 0.246164 7 'x[2,2]' 0.00108694 8 'x[2,3]' 0.000191752 9 'x[2,4]' 1.5e-06 10 'x[2,6]' 1.5e-06 11 'x[3,1]' 3.70477 12 'x[3,2]' 0.000355137 13 'x[3,3]' 0.000103294 14 'x[3,4]' 1.5e-06 15 'x[4,1]' 0.252791 16 'x[4,2]' 0.0194946 17 'x[4,3]' 0.0199748 18 'x[5,2]' 1.5e-06 19 'x[5,3]' 1.5e-06 20 'x[6,2]' 0.0776902 21 'x[6,3]' 0.00235975 22 'x[7,2]' 0.0794895 23 'x[7,3]' 0.00864047 24 'x[8,2]' 0.00327423 25 'x[8,3]' 0.0450158 26 'x[9,2]' 39.733 27 'x[9,3]' 7.00946 28 'x[10,2]' 1.5e-06 29 'x[10,3]' 1.5e-06 30 'x[11,2]' 1.5219e-06 31 'x[11,3]' 0.0344911 32 'x[12,2]' 1.5e-06 33 'x[12,3]' 0.0157396 34 'x[13,2]' 0.0155 35 'x[13,3]' 0.0211275 36 'x[14,3]' 0.00225363 37 'x[15,3]' 1.43734e-05 38 'x[16,3]' 1.5e-06 39 'x[17,3]' 1.5e-06 40 'x[18,3]' 1.5e-06 ; : _conname _con := 1 'h[1]' -15.0696 2 'h[2]' -10.5277 3 'h[3]' -11.6464 4 'h[4]' -5.88171 5 'h[5]' -33.5295 6 'h[6]' -8.01762 7 'h[7]' -4.47622 8 'h[8]' -5.06917 9 'h[9]' -9.62951 10 'h[10]' -5.8256 11 'h[11]' -15.1006 12 'h[12]' -1.75925 13 'h[13]' -9.87117 14 'h[14]' 0 15 'h[15]' -0.287682 16 'h[16]' 0 ; ==> chi.mod <== MINOS 5.5: optimal solution found. 5 iterations, objective 13.61533772 : _varname _var := 1 'x[1]' -0.0950025 2 'x[2]' 0.5 ; : _conname _con := 1 Box1 0 2 Box2 0 ; ==> gold.mod <== MINOS 5.5: optimal solution found. 8 iterations, objective 3 : _varname _var := 1 'x[1]' -5.37117e-11 2 'x[2]' -1 ; :_conname _con := ; ==> gridneta.mod <== MINOS 5.5: optimal solution found. 79 iterations, objective 5.038188205 : _varname _var := 1 'x[0,0,0]' 5.01905 2 'x[0,0,1]' 4.98095 3 'x[0,1,0]' 2.03541 4 'x[0,1,1]' 2.94554 5 'x[0,2,0]' 0.663007 6 'x[0,2,1]' 2.28253 7 'x[0,3,0]' 0.761382 8 'x[0,3,1]' 1.52115 9 'x[0,4,0]' 0.250803 10 'x[0,4,1]' 1.27035 11 'x[0,5,0]' 1.27035 12 'x[1,0,0]' 3.5713 13 'x[1,0,1]' 1.44776 14 'x[1,1,0]' 1.42123 15 'x[1,1,1]' 2.06193 16 'x[1,2,0]' 1.39555 17 'x[1,2,1]' 1.32939 18 'x[1,3,0]' 0.632619 19 'x[1,3,1]' 1.45815 20 'x[1,4,0]' 0.964212 21 'x[1,4,1]' 0.744745 22 'x[1,5,0]' 2.01509 23 'x[2,0,0]' 2.08151 24 'x[2,0,1]' 1.48979 25 'x[2,1,0]' 1.44185 26 'x[2,1,1]' 1.46917 27 'x[2,2,0]' 1.26844 28 'x[2,2,1]' 1.59628 29 'x[2,3,0]' 0.991103 30 'x[2,3,1]' 1.23779 31 'x[2,4,0]' 1.19955 32 'x[2,4,1]' 1.00246 33 'x[2,5,0]' 3.01755 34 'x[3,0,0]' 1.48575 35 'x[3,0,1]' 0.59576 36 'x[3,1,0]' 0.891306 37 'x[3,1,1]' 1.14631 38 'x[3,2,0]' 1.06157 39 'x[3,2,1]' 1.35318 40 'x[3,3,0]' 0.966889 41 'x[3,3,1]' 1.37739 42 'x[3,4,0]' 1.41282 43 'x[3,4,1]' 1.16413 44 'x[3,5,0]' 4.18167 45 'x[4,0,0]' 0.82627 46 'x[4,0,1]' 0.659478 47 'x[4,1,0]' 0.336716 48 'x[4,1,1]' 1.21407 49 'x[4,2,0]' 0.838687 50 'x[4,2,1]' 1.43695 51 'x[4,3,0]' 0.673969 52 'x[4,3,1]' 1.72987 53 'x[4,4,0]' 1.59119 54 'x[4,4,1]' 1.5515 55 'x[4,5,0]' 5.73317 56 'x[5,0,1]' 0.82627 57 'x[5,1,1]' 1.16299 58 'x[5,2,1]' 2.00167 59 'x[5,3,1]' 2.67564 60 'x[5,4,1]' 4.26683 ; : _conname _con := 1 'N[0,0]' -0.108383 2 'N[0,1]' 0.00516257 3 'N[0,2]' 0.137732 4 'N[0,3]' 0.20528 5 'N[0,4]' 0.342161 6 'N[0,5]' 0.38606 7 'N[1,0]' 0 8 'N[1,1]' 0.0591732 9 'N[1,2]' 0.154527 10 'N[1,3]' 0.21755 11 'N[1,4]' 0.348572 12 'N[1,5]' 0.410655 13 'N[2,0]' 0.0801981 14 'N[2,1]' 0.117716 15 'N[2,2]' 0.185713 16 'N[2,3]' 0.264316 17 'N[2,4]' 0.372532 18 'N[2,5]' 0.457373 19 'N[3,0]' 0.134551 20 'N[3,1]' 0.182719 21 'N[3,2]' 0.239911 22 'N[3,3]' 0.308494 23 'N[3,4]' 0.430934 24 'N[3,5]' 0.529149 25 'N[4,0]' 0.203958 26 'N[4,1]' 0.221825 27 'N[4,2]' 0.282941 28 'N[4,3]' 0.351207 29 'N[4,4]' 0.497852 30 'N[4,5]' 0.620095 31 'N[5,0]' 0.228139 32 'N[5,1]' 0.242005 33 'N[5,2]' 0.346906 34 'N[5,3]' 0.400802 35 'N[5,4]' 0.634624 36 'N[5,5]' 0.740033 37 'bounds[0,0,0,1]' 0 38 'bounds[0,0,1,2]' 0 39 'bounds[0,1,0,12]' 0 40 'bounds[0,1,1,13]' 0 41 'bounds[0,2,0,23]' 0 42 'bounds[0,2,1,24]' 0 43 'bounds[0,3,0,34]' 0 44 'bounds[0,3,1,35]' 0 45 'bounds[0,4,0,45]' 0 46 'bounds[0,4,1,46]' 0 47 'bounds[0,5,0,56]' 0 48 'bounds[1,0,0,3]' 0 49 'bounds[1,0,1,4]' 0 50 'bounds[1,1,0,14]' 0 51 'bounds[1,1,1,15]' 0 52 'bounds[1,2,0,25]' 0 53 'bounds[1,2,1,26]' 0 54 'bounds[1,3,0,36]' 0 55 'bounds[1,3,1,37]' 0 56 'bounds[1,4,0,47]' 0 57 'bounds[1,4,1,48]' 0 58 'bounds[1,5,0,57]' 0 59 'bounds[2,0,0,5]' 0 60 'bounds[2,0,1,6]' 0 61 'bounds[2,1,0,16]' 0 62 'bounds[2,1,1,17]' 0 63 'bounds[2,2,0,27]' 0 64 'bounds[2,2,1,28]' 0 65 'bounds[2,3,0,38]' 0 66 'bounds[2,3,1,39]' 0 67 'bounds[2,4,0,49]' 0 68 'bounds[2,4,1,50]' 0 69 'bounds[2,5,0,58]' 0 70 'bounds[3,0,0,7]' 0 71 'bounds[3,0,1,8]' 0 72 'bounds[3,1,0,18]' 0 73 'bounds[3,1,1,19]' 0 74 'bounds[3,2,0,29]' 0 75 'bounds[3,2,1,30]' 0 76 'bounds[3,3,0,40]' 0 77 'bounds[3,3,1,41]' 0 78 'bounds[3,4,0,51]' 0 79 'bounds[3,4,1,52]' 0 80 'bounds[3,5,0,59]' 0 81 'bounds[4,0,0,9]' 0 82 'bounds[4,0,1,10]' 0 83 'bounds[4,1,0,20]' 0 84 'bounds[4,1,1,21]' 0 85 'bounds[4,2,0,31]' 0 86 'bounds[4,2,1,32]' 0 87 'bounds[4,3,0,42]' 0 88 'bounds[4,3,1,43]' 0 89 'bounds[4,4,0,53]' 0 90 'bounds[4,4,1,54]' 0 91 'bounds[4,5,0,60]' 0 92 'bounds[5,0,1,11]' 0 93 'bounds[5,1,1,22]' 0 94 'bounds[5,2,1,33]' 0 95 'bounds[5,3,1,44]' 0 96 'bounds[5,4,1,55]' 0 ; ==> griewank.mod <== MINOS 5.5: optimal solution found. 5 iterations, objective 0 : _varname _var := 1 'x[1]' -7.07668e-10 2 'x[2]' 4.16994e-10 ; :_conname _con := ; ==> hs105.mod <== MINOS 5.5: optimal solution found. 48 iterations, objective 1136.307304 : _varname _var := 1 'x[1]' 0.499 2 'x[2]' 0.352763 3 'x[3]' 163.058 4 'x[4]' 130.246 5 'x[5]' 222.767 6 'x[6]' 19.5374 7 'x[7]' 11.8783 8 'x[8]' 16.4149 ; : _conname _con := 706 C1 0 707 B1 -1.07889 708 B2 0 709 B3 0 710 B4 0 711 B5 0 712 B6 0 713 B7 0 714 B8 0 ; ==> hs106.mod <== MINOS 5.5: too many major iterations. 235 iterations, objective 7062.037568 : _varname _var := 1 'x[1]' 579.818 2 'x[2]' 1550.54 3 'x[3]' 4931.68 4 'x[4]' 182.062 5 'x[5]' 302.733 6 'x[6]' 217.938 7 'x[7]' 279.329 8 'x[8]' 402.733 ; : _conname _con := 1 c1 1951.29 2 c2 5229.04 3 c3 4931.68 4 c4 0.00845902 5 c5 0.00954192 6 c6 0.01 7 c7 0 8 'c8[2]' 0 9 'c8[3]' 0 10 'c9[1]' 0 11 'c9[4]' 0 12 'c9[5]' 0 13 'c9[6]' 0 14 'c9[7]' 0 15 'c9[8]' 0 ; ==> hs109.mod <== MINOS 5.5: infeasible problem (or bad starting guess). 127 iterations : _varname _var := 1 'x[1]' 1181.85 2 'x[2]' 1185.37 3 'x[3]' -8.85958e-14 4 'x[4]' -0.55 5 'x[5]' 252 6 'x[6]' 252 7 'x[7]' 199.867 8 'x[8]' 382.673 9 'x[9]' 317.132 ; : _conname _con := 1 C1 31603.1 2 C2 0 3 C3 0 4 C4 0 5 C5 0 6 C6 -5.55112e-17 7 C7 -1 8 C8 0 9 C9 0 10 C10 0.0665025 11 'C11[1]' 0 12 'C11[2]' 0 13 'C12[3]' 0 14 'C12[4]' 33772.6 15 'C13[5]' -152.636 16 'C13[6]' -152.636 17 'C13[7]' 0 18 'C14[8]' 0 19 'C14[9]' 0 ; ==> hs111.mod <== MINOS 5.5: optimal solution found. 158 iterations, objective -47.76109086 : _varname _var := 1 'x[1]' -3.20231 2 'x[2]' -1.91237 3 'x[3]' -0.244427 4 'x[4]' -6.56118 5 'x[5]' -0.723098 6 'x[6]' -7.27423 7 'x[7]' -3.59724 8 'x[8]' -4.02032 9 'x[9]' -3.28838 10 'x[10]' -2.33437 ; : _conname _con := 1 C1 -9.78505 2 C2 -12.9689 3 C3 -15.2221 ; ==> hs112.mod <== MINOS 5.5: optimal solution found. 28 iterations, objective -55.13982946 : _varname _var := 1 'x[1]' 0.0304242 2 'x[2]' 0.0723842 3 'x[3]' 0.833462 4 'x[4]' 0.00148403 5 'x[5]' 0.467795 6 'x[6]' 0.000476404 7 'x[7]' 0.0624496 8 'x[8]' 0.0445267 9 'x[9]' 0.201077 10 'x[10]' 0.157408 ; : _conname _con := 1 C1 -10.2083 2 C2 -13.0537 3 C3 -14.4464 ; ==> hs114.mod <== MINOS 5.5: optimal solution found. 145 iterations, objective -1296.005877 : _varname _var := 1 'x[1]' 1718.98 2 'x[2]' 16000 3 'x[3]' 90.9513 4 'x[4]' 3048.34 5 'x[5]' 2000 6 'x[6]' 91.2854 7 'x[7]' 94.5045 8 'x[8]' 10.4713 9 'x[9]' 2.19465 10 'x[10]' 152.034 11 G1 0.0933155 12 G2 -2.84217e-14 13 G5 20.2658 14 G6 0.864187 ; : _conname _con := 1 '=G1' 372.98 2 '=G2' -83.638 3 '=G5' -1.18092 4 '=G6' -447.434 5 g1 0 6 g2 83.638 7 g3 372.98 8 g4 0 9 g5 1.18092 10 g6 447.434 11 g7 0 12 g8 0 13 g9 -3.6773 14 g10 145.416 15 g11 118.929 ; ==> hs116.mod <== MINOS 5.5: optimal solution found. 54 iterations, objective 97.58750956 : _varname _var := 1 'x[1]' 0.803773 2 'x[2]' 0.899986 3 'x[3]' 0.97095 4 'x[4]' 0.1 5 'x[5]' 0.190813 6 'x[6]' 0.460376 7 'x[7]' 574.078 8 'x[8]' 74.0776 9 'x[9]' 500.016 10 'x[10]' 0.1 11 'x[11]' 20.2331 12 'x[12]' 77.3477 13 'x[13]' 0.00673287 ; : _conname _con := 1 c1 0 2 c2 0 3 c3 0 4 c4 0 5 c5 1 6 c6 2087.99 7 c7 0.106882 8 c8 1065.42 9 c9 1 10 c10 1 11 c11 0 12 c12 222.799 13 c13 0.797479 14 c14 31.5406 15 c15 0 16 b1 0 17 b2 0 18 b3 0 19 b4 -230.473 20 b5 0 21 b6 0 22 b7 0 23 b8 0 24 b9 0 25 b10 0.119445 26 b11 0 27 b12 0 28 b13 0 ; ==> hs15.mod <== MINOS 5.5: optimal solution found. 1 iterations, objective 306.5 : _varname _var := 1 'x[1]' 0.5 2 'x[2]' 2 ; : _conname _con := 1 Ineq1 700 2 Ineq2 0 3 Bound1 -1751 ; ==> hs23.mod <== MINOS 5.5: optimal solution found. 10 iterations, objective 2 : _varname _var := 1 'x[1]' 1 2 'x[2]' 1 ; : _conname _con := 1 C1 0 2 C2 0 3 C3 0 4 C4 2 5 C5 2 ; ==> hs35.mod <== MINOS 5.5: optimal solution found. 5 iterations, objective 0.1111111111 : _varname _var := 1 'x[1]' 1.33333 2 'x[2]' 0.777778 3 'x[3]' 0.444444 ; : _conname _con := 1 Constr 0.222222 ; ==> hs44.mod <== MINOS 5.5: optimal solution found. 2 iterations, objective -15 : _varname _var := 1 'x[1]' 0 2 'x[2]' 3 3 'x[3]' 0 4 'x[4]' 4 ; : _conname _con := 1 C1 0 2 C2 0 3 C3 1.25 4 C4 0 5 C5 1.5 6 C6 0 ; ==> hs5.mod <== MINOS 5.5: optimal solution found. 6 iterations, objective -1.913222955 : _varname _var := 1 'x[1]' -0.547198 2 'x[2]' -1.5472 ; : _conname _con := 1 C1 0 2 C2 0 ; ==> hs54.mod <== MINOS 5.5: optimal solution found. 7 iterations, objective -0.9947982692 : _varname _var := 1 'x[1]' 14050.3 2 'x[2]' 0.887423 3 'x[3]' 4e+06 4 'x[4]' 10 5 'x[5]' 0.001 6 'x[6]' 5e+07 7 h 0.0104306 ; : _conname _con := 1 '=h' 0.497399 2 C1 -2.3938e-07 3 B1 0 4 B2 0 5 B3 0 6 B4 0 7 B5 0 8 B6 0 ; ==> hs6.mod <== MINOS 5.5: optimal solution found. 27 iterations, objective 4.083108452e-20 : _varname _var := 1 'x[1]' 1 2 'x[2]' 1 ; : _conname _con := 1 Constr 2.02067e-11 ; ==> hs62.mod <== MINOS 5.5: optimal solution found. 7 iterations, objective -26272.51449 : _varname _var := 1 'x[1]' 0.617813 2 'x[2]' 0.328202 3 'x[3]' 0.0539851 ; : _conname _con := 1 simplex -6386.94 ; ==> hs64.mod <== MINOS 5.5: optimal solution found. 38 iterations, objective 6299.842428 : _varname _var := 1 'x[1]' 108.735 2 'x[2]' 85.1262 3 'x[3]' 204.325 ; : _conname _con := 1 Constr 2279.05 ; ==> hs8.mod <== MINOS 5.5: optimal solution found. 1 iterations, objective -1 : _varname _var := 1 'x[1]' 4.60159 2 'x[2]' 1.95584 ; : _conname _con := 1 C1 0 2 C2 0 ; ==> hs87.mod <== MINOS 5.5: optimal solution found. 32 iterations, objective 8827.597735 Nonlin evals: constrs = 63, Jac = 62. : _varname _var := 1 x1 107.812 2 x2 196.319 3 x3 373.831 4 x4 420 5 x5 21.3072 6 x6 0.153292 ; : _conname _con := 1 e1 30 2 e2 29 3 e3 0 4 e4 -0.888358 ; ==> kowalik.mod <== MINOS 5.5: optimal solution found. 18 iterations, objective 0.0003074859878 : _varname _var := 1 'x[1]' 0.192833 2 'x[2]' 0.190836 3 'x[3]' 0.123117 4 'x[4]' 0.135766 ; :_conname _con := ; ==> levy3.mod <== MINOS 5.5: optimal solution found. 6 iterations, objective -165.6596935 : _varname _var := 1 'x[1]' 4.85806 2 'x[2]' 4.85806 ; :_conname _con := ; ==> ljcluster.mod <== MINOS 5.5: optimal solution found. 144 iterations, objective -17.97789881 : _varname _var := 1 'x[1,1]' 1.76825 2 'x[1,2]' 6.677 3 'x[2,1]' 2.00001 4 'x[2,2]' 5.70626 5 'x[3,1]' 2.96024 6 'x[3,2]' 5.42603 7 'x[4,1]' 2.72437 8 'x[4,2]' 6.39016 9 'x[5,1]' 2.49429 10 'x[5,2]' 7.35394 11 'x[6,1]' 3.45239 12 'x[6,2]' 7.06482 13 'x[7,1]' 3.2191 14 'x[7,2]' 8.02957 15 'x[8,1]' 2.26391 16 'x[8,2]' 8.31951 17 'x[9,1]' 2.99395 18 'x[9,2]' 9 19 'x[10,1]' 3.94891 20 'x[10,2]' 8.70229 21 'r[2,1]' 0.998017 22 'r[3,1]' 1.72793 23 'r[3,2]' 1.00028 24 'r[4,1]' 0.998221 25 'r[4,2]' 0.9962 26 'r[4,3]' 0.992559 27 'r[5,1]' 0.992669 28 'r[5,2]' 1.72022 29 'r[5,3]' 1.98342 30 'r[5,4]' 0.99087 31 'r[6,1]' 1.72821 32 'r[6,2]' 1.98874 33 'r[6,3]' 1.7111 34 'r[6,4]' 0.99256 35 'r[6,5]' 1.00077 36 'r[7,1]' 1.98354 37 'r[7,2]' 2.62373 38 'r[7,3]' 2.61638 39 'r[7,4]' 1.71244 40 'r[7,5]' 0.99087 41 'r[7,6]' 0.99256 42 'r[8,1]' 1.71567 43 'r[8,2]' 2.62654 44 'r[8,3]' 2.97609 45 'r[8,4]' 1.98354 46 'r[8,5]' 0.992669 47 'r[8,6]' 1.72821 48 'r[8,7]' 0.998221 49 'r[9,1]' 2.62654 50 'r[9,2]' 3.44044 51 'r[9,3]' 3.57413 52 'r[9,4]' 2.62373 53 'r[9,5]' 1.72022 54 'r[9,6]' 1.98874 55 'r[9,7]' 0.9962 56 'r[9,8]' 0.998017 57 'r[10,1]' 2.97609 58 'r[10,2]' 3.57413 59 'r[10,3]' 3.42219 60 'r[10,4]' 2.61638 61 'r[10,5]' 1.98342 62 'r[10,6]' 1.7111 63 'r[10,7]' 0.992559 64 'r[10,8]' 1.72793 65 'r[10,9]' 1.00028 ; : _conname _con := 1 '=r[2,1]' -0.145817 2 '=r[3,1]' 0.251111 3 '=r[3,2]' 0.020203 4 '=r[4,1]' -0.13049 5 '=r[4,2]' -0.28478 6 '=r[4,3]' -0.579532 7 '=r[5,1]' -0.570303 8 '=r[5,2]' 0.258819 9 '=r[5,3]' 0.0977428 10 '=r[5,4]' -0.723926 11 '=r[6,1]' 0.250833 12 '=r[6,2]' 0.0959533 13 '=r[6,3]' 0.268289 14 '=r[6,4]' -0.579391 15 '=r[6,5]' 0.0550539 16 '=r[7,1]' 0.0977028 17 '=r[7,2]' 0.013977 18 '=r[7,3]' 0.0142533 19 '=r[7,4]' 0.266872 20 '=r[7,5]' -0.723926 21 '=r[7,6]' -0.579391 22 '=r[8,1]' 0.263495 23 '=r[8,2]' 0.013873 24 '=r[8,3]' 0.00579478 25 '=r[8,4]' 0.0977028 26 '=r[8,5]' -0.570303 27 '=r[8,6]' 0.250833 28 '=r[8,7]' -0.13049 29 '=r[9,1]' 0.013873 30 '=r[9,2]' 0.00210194 31 '=r[9,3]' 0.00160983 32 '=r[9,4]' 0.013977 33 '=r[9,5]' 0.258819 34 '=r[9,6]' 0.0959533 35 '=r[9,7]' -0.28478 36 '=r[9,8]' -0.145817 37 '=r[10,1]' 0.00579478 38 '=r[10,2]' 0.00160983 39 '=r[10,3]' 0.00218164 40 '=r[10,4]' 0.0142533 41 '=r[10,5]' 0.0977428 42 '=r[10,6]' 0.268289 43 '=r[10,7]' -0.579532 44 '=r[10,8]' 0.251111 45 '=r[10,9]' 0.020203 ; ==> osborne1.mod <== MINOS 5.5: optimal solution found. 53 iterations, objective 5.464894697e-05 : _varname _var := 1 'x[1]' 0.37541 2 'x[2]' 1.93585 3 'x[3]' -1.46469 4 'x[4]' 0.0128675 5 'x[5]' 0.0221227 ; :_conname _con := ; ==> powell.mod <== MINOS 5.5: optimal solution found. 28 iterations, objective 2.858579227e-13 : _varname _var := 1 'x[1]' 0.000233534 2 'x[2]' -2.3355e-05 3 'x[3]' -0.00017339 4 'x[4]' -0.00017338 ; :_conname _con := ; ==> price.mod <== MINOS 5.5: optimal solution found. 43 iterations, objective 1.007582516e-13 : _varname _var := 1 'x[1]' -0.00112914 2 'x[2]' 0.00682136 ; :_conname _con := ; ==> rosenbr.mod <== MINOS 5.5: optimal solution found. 2 iterations, objective 2.486347664e-16 : _varname _var := 1 'x[1]' 1 2 'x[2]' 1 3 f1 1.57485e-08 4 f2 7.87424e-10 ; : _conname _con := 1 '=f1' 3.1497e-08 2 '=f2' 1.57485e-09 ; ==> s324.mod <== MINOS 5.5: optimal solution found. 31 iterations, objective 5 : _varname _var := 1 'x[1]' 15.8114 2 'x[2]' 1.58114 ; : _conname _con := 1 G1 0.200001 2 G2 -5.48058e-08 3 B1 0 ; ==> s383.mod <== MINOS 5.5: optimal solution found. 49 iterations, objective 728593.646 : _varname _var := 1 'x[1]' 0.04 2 'x[2]' 0.0382097 3 'x[3]' 0.0358127 4 'x[4]' 0.0330719 5 'x[5]' 0.0302883 6 'x[6]' 0.0279137 7 'x[7]' 0.0264765 8 'x[8]' 0.0249202 9 'x[9]' 0.0230417 10 'x[10]' 0.0215796 11 'x[11]' 0.0201727 12 'x[12]' 0.0191827 13 'x[13]' 0.0202935 14 'x[14]' 0.0253111 ; : _conname _con := 1 G1 -521930 2 'B1[1]' -5166590 3 'B1[2]' 0 4 'B1[3]' 0 5 'B1[4]' 0 6 'B1[5]' 0 7 'B2[6]' 0 8 'B2[7]' 0 9 'B2[8]' 0 10 'B2[9]' 0 11 'B2[10]' 0 12 'B2[11]' 0 13 'B2[12]' 0 14 'B2[13]' 0 15 'B2[14]' 0 ; ==> schwefel.mod <== MINOS 5.5: optimal solution found. 5 iterations, objective 1.683893205e-12 : _varname _var := 1 'x[1]' 0.0565873 2 'x[2]' 0.0565883 3 'x[3]' 0.0565893 4 'x[4]' 0.0565903 5 'x[5]' 0.0565914 ; :_conname _con := ; ==> shekel.mod <== MINOS 5.5: optimal solution found. 13 iterations, objective -10.15319968 : _varname _var := 1 'x[1]' 4.00004 2 'x[2]' 4.00013 3 'x[3]' 4.00004 4 'x[4]' 4.00013 ; :_conname _con := ; ==> steenbre.mod <== MINOS 5.5: optimal solution found. 1472 iterations, objective 28976.74924 : _varname _var := 1 'capacity[1,2]' 109856 2 'capacity[1,3]' 0.01 3 'capacity[1,7]' 0.01 4 'capacity[2,1]' 0.01 5 'capacity[2,4]' 150103 6 'capacity[2,7]' 15924.3 7 'capacity[2,8]' 0.01 8 'capacity[3,1]' 6931.4 9 'capacity[3,5]' 25904.1 10 'capacity[3,7]' 1004.75 11 'capacity[3,8]' 0.01 12 'capacity[4,2]' 2000 13 'capacity[4,6]' 109856 14 'capacity[4,8]' 0.01 15 'capacity[4,9]' 16884.4 16 'capacity[5,3]' 9496.26 17 'capacity[5,6]' 0.01 18 'capacity[5,8]' 0.01 19 'capacity[5,9]' 8626.58 20 'capacity[6,4]' 0.01 21 'capacity[6,5]' 6931.4 22 'capacity[6,9]' 0.01 23 'capacity[7,1]' 0.01 24 'capacity[7,2]' 1004.75 25 'capacity[7,3]' 15924.3 26 'capacity[7,8]' 0.01 27 'capacity[8,2]' 0.01 28 'capacity[8,3]' 0.01 29 'capacity[8,4]' 0.01 30 'capacity[8,5]' 0.01 31 'capacity[8,7]' 0.01 32 'capacity[8,9]' 0.01 33 'capacity[9,4]' 8626.58 34 'capacity[9,5]' 16884.4 35 'capacity[9,6]' 0.01 36 'capacity[9,8]' 0.01 37 'flow[1,6,1,2]' 10000 38 'flow[1,6,1,3]' 0 39 'flow[1,6,1,7]' 0.00170723 40 'flow[1,6,2,1]' 0 41 'flow[1,6,2,4]' 10000 42 'flow[1,6,2,7]' 0 43 'flow[1,6,2,8]' 0 44 'flow[1,6,3,1]' 0 45 'flow[1,6,3,5]' 0 46 'flow[1,6,3,7]' 0 47 'flow[1,6,3,8]' 0 48 'flow[1,6,4,2]' 0 49 'flow[1,6,4,6]' 10000 50 'flow[1,6,4,8]' 0 51 'flow[1,6,4,9]' 0 52 'flow[1,6,5,3]' 0 53 'flow[1,6,5,6]' 0 54 'flow[1,6,5,8]' 0 55 'flow[1,6,5,9]' 0 56 'flow[1,6,6,4]' 0 57 'flow[1,6,6,5]' 0 58 'flow[1,6,6,9]' 0 59 'flow[1,6,7,1]' 0 60 'flow[1,6,7,2]' 0 61 'flow[1,6,7,3]' 0 62 'flow[1,6,7,8]' 0.00170723 63 'flow[1,6,8,2]' 0 64 'flow[1,6,8,3]' 0 65 'flow[1,6,8,4]' 0 66 'flow[1,6,8,5]' 0 67 'flow[1,6,8,7]' 0 68 'flow[1,6,8,9]' 0.00170723 69 'flow[1,6,9,4]' 0 70 'flow[1,6,9,5]' 0 71 'flow[1,6,9,6]' 0.00170723 72 'flow[1,6,9,8]' 0 73 'flow[2,3,1,2]' 0 74 'flow[2,3,1,3]' 0 75 'flow[2,3,1,7]' 0 76 'flow[2,3,2,1]' 2.27374e-13 77 'flow[2,3,2,4]' 0 78 'flow[2,3,2,7]' 2000 79 'flow[2,3,2,8]' 0 80 'flow[2,3,3,1]' 0 81 'flow[2,3,3,5]' 0 82 'flow[2,3,3,7]' 0 83 'flow[2,3,3,8]' 0 84 'flow[2,3,4,2]' 0 85 'flow[2,3,4,6]' 0 86 'flow[2,3,4,8]' 0 87 'flow[2,3,4,9]' 0 88 'flow[2,3,5,3]' 0 89 'flow[2,3,5,6]' 0 90 'flow[2,3,5,8]' 0 91 'flow[2,3,5,9]' 0 92 'flow[2,3,6,4]' 0 93 'flow[2,3,6,5]' 0 94 'flow[2,3,6,9]' 0 95 'flow[2,3,7,1]' 0 96 'flow[2,3,7,2]' 0 97 'flow[2,3,7,3]' 2000 98 'flow[2,3,7,8]' 0 99 'flow[2,3,8,2]' 0 100 'flow[2,3,8,3]' 0 101 'flow[2,3,8,4]' 0 102 'flow[2,3,8,5]' 0 103 'flow[2,3,8,7]' 0 104 'flow[2,3,8,9]' 0 105 'flow[2,3,9,4]' 0 106 'flow[2,3,9,5]' 0 107 'flow[2,3,9,6]' 0 108 'flow[2,3,9,8]' 0 109 'flow[2,4,1,2]' 0 110 'flow[2,4,1,3]' 0 111 'flow[2,4,1,7]' 0 112 'flow[2,4,2,1]' 0 113 'flow[2,4,2,4]' 2000 114 'flow[2,4,2,7]' 0 115 'flow[2,4,2,8]' 0 116 'flow[2,4,3,1]' 0 117 'flow[2,4,3,5]' 0 118 'flow[2,4,3,7]' 0 119 'flow[2,4,3,8]' 0 120 'flow[2,4,4,2]' 0 121 'flow[2,4,4,6]' 0 122 'flow[2,4,4,8]' 0 123 'flow[2,4,4,9]' 0 124 'flow[2,4,5,3]' 0 125 'flow[2,4,5,6]' 0 126 'flow[2,4,5,8]' 0 127 'flow[2,4,5,9]' 0 128 'flow[2,4,6,4]' 0 129 'flow[2,4,6,5]' 0 130 'flow[2,4,6,9]' 0 131 'flow[2,4,7,1]' 0 132 'flow[2,4,7,2]' 0 133 'flow[2,4,7,3]' 1.38778e-17 134 'flow[2,4,7,8]' -1.38778e-17 135 'flow[2,4,8,2]' 0 136 'flow[2,4,8,3]' 0 137 'flow[2,4,8,4]' 0 138 'flow[2,4,8,5]' 0 139 'flow[2,4,8,7]' 0 140 'flow[2,4,8,9]' 0 141 'flow[2,4,9,4]' -4.9e-11 142 'flow[2,4,9,5]' 0 143 'flow[2,4,9,6]' 0 144 'flow[2,4,9,8]' 0 145 'flow[2,5,1,2]' 0 146 'flow[2,5,1,3]' 0 147 'flow[2,5,1,7]' 0 148 'flow[2,5,2,1]' 0 149 'flow[2,5,2,4]' 999.997 150 'flow[2,5,2,7]' 0 151 'flow[2,5,2,8]' 0.00290459 152 'flow[2,5,3,1]' 0 153 'flow[2,5,3,5]' 0 154 'flow[2,5,3,7]' 0 155 'flow[2,5,3,8]' 0 156 'flow[2,5,4,2]' 0 157 'flow[2,5,4,6]' 0 158 'flow[2,5,4,8]' 0 159 'flow[2,5,4,9]' 999.997 160 'flow[2,5,5,3]' 0 161 'flow[2,5,5,6]' 0 162 'flow[2,5,5,8]' 0 163 'flow[2,5,5,9]' 0 164 'flow[2,5,6,4]' 0 165 'flow[2,5,6,5]' 0 166 'flow[2,5,6,9]' 0 167 'flow[2,5,7,1]' 0 168 'flow[2,5,7,2]' 0 169 'flow[2,5,7,3]' 0 170 'flow[2,5,7,8]' 0 171 'flow[2,5,8,2]' 0 172 'flow[2,5,8,3]' 0 173 'flow[2,5,8,4]' 0 174 'flow[2,5,8,5]' 0.00290459 175 'flow[2,5,8,7]' 0 176 'flow[2,5,8,9]' 0 177 'flow[2,5,9,4]' 0 178 'flow[2,5,9,5]' 999.997 179 'flow[2,5,9,6]' 0 180 'flow[2,5,9,8]' 0 181 'flow[3,2,1,2]' 0 182 'flow[3,2,1,3]' 0 183 'flow[3,2,1,7]' 0 184 'flow[3,2,2,1]' 0 185 'flow[3,2,2,4]' 0 186 'flow[3,2,2,7]' 0 187 'flow[3,2,2,8]' 0 188 'flow[3,2,3,1]' 0 189 'flow[3,2,3,5]' 0 190 'flow[3,2,3,7]' 200 191 'flow[3,2,3,8]' 0 192 'flow[3,2,4,2]' 0 193 'flow[3,2,4,6]' 0 194 'flow[3,2,4,8]' 0 195 'flow[3,2,4,9]' 0 196 'flow[3,2,5,3]' 0 197 'flow[3,2,5,6]' 0 198 'flow[3,2,5,8]' 0 199 'flow[3,2,5,9]' 0 200 'flow[3,2,6,4]' 0 201 'flow[3,2,6,5]' 0 202 'flow[3,2,6,9]' 0 203 'flow[3,2,7,1]' 0 204 'flow[3,2,7,2]' 200 205 'flow[3,2,7,3]' 0 206 'flow[3,2,7,8]' 0 207 'flow[3,2,8,2]' 0 208 'flow[3,2,8,3]' 0 209 'flow[3,2,8,4]' 0 210 'flow[3,2,8,5]' 0 211 'flow[3,2,8,7]' 0 212 'flow[3,2,8,9]' 0 213 'flow[3,2,9,4]' 0 214 'flow[3,2,9,5]' 0 215 'flow[3,2,9,6]' 0 216 'flow[3,2,9,8]' 0 217 'flow[3,4,1,2]' 0 218 'flow[3,4,1,3]' 0 219 'flow[3,4,1,7]' 0 220 'flow[3,4,2,1]' 0 221 'flow[3,4,2,4]' 0 222 'flow[3,4,2,7]' 0 223 'flow[3,4,2,8]' 0 224 'flow[3,4,3,1]' 0 225 'flow[3,4,3,5]' 999.997 226 'flow[3,4,3,7]' -2.27318e-14 227 'flow[3,4,3,8]' 0.00301425 228 'flow[3,4,4,2]' 0 229 'flow[3,4,4,6]' 0 230 'flow[3,4,4,8]' 0 231 'flow[3,4,4,9]' 0 232 'flow[3,4,5,3]' 0 233 'flow[3,4,5,6]' 0 234 'flow[3,4,5,8]' 0 235 'flow[3,4,5,9]' 999.997 236 'flow[3,4,6,4]' 0 237 'flow[3,4,6,5]' 0 238 'flow[3,4,6,9]' 0 239 'flow[3,4,7,1]' 0 240 'flow[3,4,7,2]' -2.27457e-14 241 'flow[3,4,7,3]' 0 242 'flow[3,4,7,8]' 0 243 'flow[3,4,8,2]' 0 244 'flow[3,4,8,3]' 0 245 'flow[3,4,8,4]' 0.00301425 246 'flow[3,4,8,5]' 0 247 'flow[3,4,8,7]' 0 248 'flow[3,4,8,9]' 0 249 'flow[3,4,9,4]' 999.997 250 'flow[3,4,9,5]' 0 251 'flow[3,4,9,6]' 0 252 'flow[3,4,9,8]' 0 253 'flow[3,5,1,2]' 0 254 'flow[3,5,1,3]' 0 255 'flow[3,5,1,7]' 0 256 'flow[3,5,2,1]' 1.38778e-17 257 'flow[3,5,2,4]' 0 258 'flow[3,5,2,7]' 0 259 'flow[3,5,2,8]' 0 260 'flow[3,5,3,1]' 0 261 'flow[3,5,3,5]' 2000 262 'flow[3,5,3,7]' 0 263 'flow[3,5,3,8]' 0 264 'flow[3,5,4,2]' 0 265 'flow[3,5,4,6]' 0 266 'flow[3,5,4,8]' 0 267 'flow[3,5,4,9]' 0 268 'flow[3,5,5,3]' 0 269 'flow[3,5,5,6]' 0 270 'flow[3,5,5,8]' 0 271 'flow[3,5,5,9]' 0 272 'flow[3,5,6,4]' 0 273 'flow[3,5,6,5]' 0 274 'flow[3,5,6,9]' 0 275 'flow[3,5,7,1]' -1.49684e-18 276 'flow[3,5,7,2]' 0 277 'flow[3,5,7,3]' 0 278 'flow[3,5,7,8]' 0 279 'flow[3,5,8,2]' 0 280 'flow[3,5,8,3]' 0 281 'flow[3,5,8,4]' 0 282 'flow[3,5,8,5]' -1.49684e-18 283 'flow[3,5,8,7]' 0 284 'flow[3,5,8,9]' 0 285 'flow[3,5,9,4]' -4.9e-11 286 'flow[3,5,9,5]' 0 287 'flow[3,5,9,6]' -4.9e-11 288 'flow[3,5,9,8]' 0 289 'flow[4,2,1,2]' 0 290 'flow[4,2,1,3]' 0 291 'flow[4,2,1,7]' 0 292 'flow[4,2,2,1]' 0 293 'flow[4,2,2,4]' 0 294 'flow[4,2,2,7]' 0 295 'flow[4,2,2,8]' 0 296 'flow[4,2,3,1]' 0 297 'flow[4,2,3,5]' 0 298 'flow[4,2,3,7]' 0 299 'flow[4,2,3,8]' 0 300 'flow[4,2,4,2]' 200 301 'flow[4,2,4,6]' 0 302 'flow[4,2,4,8]' 0 303 'flow[4,2,4,9]' 0 304 'flow[4,2,5,3]' 0 305 'flow[4,2,5,6]' 0 306 'flow[4,2,5,8]' 0 307 'flow[4,2,5,9]' 0 308 'flow[4,2,6,4]' 0 309 'flow[4,2,6,5]' 0 310 'flow[4,2,6,9]' 0 311 'flow[4,2,7,1]' 0 312 'flow[4,2,7,2]' -1.38778e-17 313 'flow[4,2,7,3]' 0 314 'flow[4,2,7,8]' 0 315 'flow[4,2,8,2]' 0 316 'flow[4,2,8,3]' 0 317 'flow[4,2,8,4]' 0 318 'flow[4,2,8,5]' 0 319 'flow[4,2,8,7]' 0 320 'flow[4,2,8,9]' 0 321 'flow[4,2,9,4]' 0 322 'flow[4,2,9,5]' 0 323 'flow[4,2,9,6]' 0 324 'flow[4,2,9,8]' 0 325 'flow[4,3,1,2]' 0 326 'flow[4,3,1,3]' 0 327 'flow[4,3,1,7]' 0 328 'flow[4,3,2,1]' 1.1352e-14 329 'flow[4,3,2,4]' 0 330 'flow[4,3,2,7]' 0 331 'flow[4,3,2,8]' 0 332 'flow[4,3,3,1]' 0 333 'flow[4,3,3,5]' 0 334 'flow[4,3,3,7]' 0 335 'flow[4,3,3,8]' 0 336 'flow[4,3,4,2]' 1.1352e-14 337 'flow[4,3,4,6]' 0 338 'flow[4,3,4,8]' 0.00306823 339 'flow[4,3,4,9]' 99.9969 340 'flow[4,3,5,3]' 99.9969 341 'flow[4,3,5,6]' 0 342 'flow[4,3,5,8]' 0 343 'flow[4,3,5,9]' 0 344 'flow[4,3,6,4]' 0 345 'flow[4,3,6,5]' -4.90274e-11 346 'flow[4,3,6,9]' 0 347 'flow[4,3,7,1]' 0 348 'flow[4,3,7,2]' 0 349 'flow[4,3,7,3]' 0 350 'flow[4,3,7,8]' 0 351 'flow[4,3,8,2]' 0 352 'flow[4,3,8,3]' 0.00306823 353 'flow[4,3,8,4]' 0 354 'flow[4,3,8,5]' 0 355 'flow[4,3,8,7]' 0 356 'flow[4,3,8,9]' 0 357 'flow[4,3,9,4]' 0 358 'flow[4,3,9,5]' 99.9969 359 'flow[4,3,9,6]' 0 360 'flow[4,3,9,8]' 0 361 'flow[4,5,1,2]' 0 362 'flow[4,5,1,3]' 0 363 'flow[4,5,1,7]' 0 364 'flow[4,5,2,1]' 0 365 'flow[4,5,2,4]' 0 366 'flow[4,5,2,7]' 0 367 'flow[4,5,2,8]' 0 368 'flow[4,5,3,1]' 0 369 'flow[4,5,3,5]' 4.54636e-14 370 'flow[4,5,3,7]' 0 371 'flow[4,5,3,8]' 0 372 'flow[4,5,4,2]' 0 373 'flow[4,5,4,6]' 0 374 'flow[4,5,4,8]' 0 375 'flow[4,5,4,9]' 1000 376 'flow[4,5,5,3]' 0 377 'flow[4,5,5,6]' 0 378 'flow[4,5,5,8]' 0 379 'flow[4,5,5,9]' 0 380 'flow[4,5,6,4]' 0 381 'flow[4,5,6,5]' 0 382 'flow[4,5,6,9]' 0 383 'flow[4,5,7,1]' 0 384 'flow[4,5,7,2]' 0 385 'flow[4,5,7,3]' 0 386 'flow[4,5,7,8]' 0 387 'flow[4,5,8,2]' 0 388 'flow[4,5,8,3]' 0 389 'flow[4,5,8,4]' 0 390 'flow[4,5,8,5]' -1.49684e-18 391 'flow[4,5,8,7]' 0 392 'flow[4,5,8,9]' 0 393 'flow[4,5,9,4]' 0 394 'flow[4,5,9,5]' 1000 395 'flow[4,5,9,6]' 0 396 'flow[4,5,9,8]' 0 397 'flow[5,2,1,2]' 0 398 'flow[5,2,1,3]' 0 399 'flow[5,2,1,7]' 0 400 'flow[5,2,2,1]' 0 401 'flow[5,2,2,4]' 0 402 'flow[5,2,2,7]' 0 403 'flow[5,2,2,8]' 0 404 'flow[5,2,3,1]' 1.13798e-14 405 'flow[5,2,3,5]' 0 406 'flow[5,2,3,7]' 0 407 'flow[5,2,3,8]' 0 408 'flow[5,2,4,2]' 99.9969 409 'flow[5,2,4,6]' 0 410 'flow[5,2,4,8]' 0 411 'flow[5,2,4,9]' 0 412 'flow[5,2,5,3]' 7.10543e-15 413 'flow[5,2,5,6]' 0 414 'flow[5,2,5,8]' 0.0031426 415 'flow[5,2,5,9]' 99.9969 416 'flow[5,2,6,4]' 0 417 'flow[5,2,6,5]' 0 418 'flow[5,2,6,9]' 0 419 'flow[5,2,7,1]' 0 420 'flow[5,2,7,2]' -2.13163e-14 421 'flow[5,2,7,3]' 0 422 'flow[5,2,7,8]' 0 423 'flow[5,2,8,2]' 0.0031426 424 'flow[5,2,8,3]' 0 425 'flow[5,2,8,4]' 0 426 'flow[5,2,8,5]' 0 427 'flow[5,2,8,7]' 0 428 'flow[5,2,8,9]' 0 429 'flow[5,2,9,4]' 99.9969 430 'flow[5,2,9,5]' 0 431 'flow[5,2,9,6]' 0 432 'flow[5,2,9,8]' 0 433 'flow[5,3,1,2]' 0 434 'flow[5,3,1,3]' 0 435 'flow[5,3,1,7]' 0 436 'flow[5,3,2,1]' 0 437 'flow[5,3,2,4]' 0 438 'flow[5,3,2,7]' 0 439 'flow[5,3,2,8]' 0 440 'flow[5,3,3,1]' 0 441 'flow[5,3,3,5]' 0 442 'flow[5,3,3,7]' 0 443 'flow[5,3,3,8]' 0 444 'flow[5,3,4,2]' 0 445 'flow[5,3,4,6]' 0 446 'flow[5,3,4,8]' 0 447 'flow[5,3,4,9]' 0 448 'flow[5,3,5,3]' 200 449 'flow[5,3,5,6]' 0 450 'flow[5,3,5,8]' 0 451 'flow[5,3,5,9]' 0 452 'flow[5,3,6,4]' 0 453 'flow[5,3,6,5]' 0 454 'flow[5,3,6,9]' 0 455 'flow[5,3,7,1]' 0 456 'flow[5,3,7,2]' 0 457 'flow[5,3,7,3]' 0 458 'flow[5,3,7,8]' 0 459 'flow[5,3,8,2]' 0 460 'flow[5,3,8,3]' -1.38778e-17 461 'flow[5,3,8,4]' 0 462 'flow[5,3,8,5]' 0 463 'flow[5,3,8,7]' 0 464 'flow[5,3,8,9]' 0 465 'flow[5,3,9,4]' 0 466 'flow[5,3,9,5]' 0 467 'flow[5,3,9,6]' 0 468 'flow[5,3,9,8]' 0 469 'flow[5,4,1,2]' 0 470 'flow[5,4,1,3]' 0 471 'flow[5,4,1,7]' 0 472 'flow[5,4,2,1]' 0 473 'flow[5,4,2,4]' 0 474 'flow[5,4,2,7]' 0 475 'flow[5,4,2,8]' 0 476 'flow[5,4,3,1]' -4.89829e-11 477 'flow[5,4,3,5]' 0 478 'flow[5,4,3,7]' 0 479 'flow[5,4,3,8]' 0 480 'flow[5,4,4,2]' 0 481 'flow[5,4,4,6]' 0 482 'flow[5,4,4,8]' 0 483 'flow[5,4,4,9]' 0 484 'flow[5,4,5,3]' 0 485 'flow[5,4,5,6]' 0 486 'flow[5,4,5,8]' 0 487 'flow[5,4,5,9]' 100 488 'flow[5,4,6,4]' 0 489 'flow[5,4,6,5]' 0 490 'flow[5,4,6,9]' 0 491 'flow[5,4,7,1]' 4.9e-11 492 'flow[5,4,7,2]' 0 493 'flow[5,4,7,3]' 0 494 'flow[5,4,7,8]' 0 495 'flow[5,4,8,2]' -2.77556e-17 496 'flow[5,4,8,3]' 0 497 'flow[5,4,8,4]' -1.70989e-14 498 'flow[5,4,8,5]' 0 499 'flow[5,4,8,7]' 4.9e-11 500 'flow[5,4,8,9]' 0 501 'flow[5,4,9,4]' 100 502 'flow[5,4,9,5]' 0 503 'flow[5,4,9,6]' 0 504 'flow[5,4,9,8]' 0 505 'flow[6,1,1,2]' 0 506 'flow[6,1,1,3]' 0 507 'flow[6,1,1,7]' 0 508 'flow[6,1,2,1]' 0.00256974 509 'flow[6,1,2,4]' 0 510 'flow[6,1,2,7]' 0 511 'flow[6,1,2,8]' 0 512 'flow[6,1,3,1]' 999.995 513 'flow[6,1,3,5]' 0 514 'flow[6,1,3,7]' 0 515 'flow[6,1,3,8]' 0 516 'flow[6,1,4,2]' 0.00256974 517 'flow[6,1,4,6]' 0 518 'flow[6,1,4,8]' 0 519 'flow[6,1,4,9]' 0 520 'flow[6,1,5,3]' 999.995 521 'flow[6,1,5,6]' 0 522 'flow[6,1,5,8]' 0 523 'flow[6,1,5,9]' 0 524 'flow[6,1,6,4]' 0.00256974 525 'flow[6,1,6,5]' 999.995 526 'flow[6,1,6,9]' 0.00252559 527 'flow[6,1,7,1]' 0.00252559 528 'flow[6,1,7,2]' 0 529 'flow[6,1,7,3]' 0 530 'flow[6,1,7,8]' 0 531 'flow[6,1,8,2]' 0 532 'flow[6,1,8,3]' 0 533 'flow[6,1,8,4]' 0 534 'flow[6,1,8,5]' 0 535 'flow[6,1,8,7]' 0.00252559 536 'flow[6,1,8,9]' 0 537 'flow[6,1,9,4]' 0 538 'flow[6,1,9,5]' 0 539 'flow[6,1,9,6]' 0 540 'flow[6,1,9,8]' 0.00252559 541 'total_flow[1,2]' 10000 542 'total_flow[1,3]' 0 543 'total_flow[1,7]' 0.00170723 544 'total_flow[2,1]' 0.00256974 545 'total_flow[2,4]' 13000 546 'total_flow[2,7]' 2000 547 'total_flow[2,8]' 0.00290459 548 'total_flow[3,1]' 999.995 549 'total_flow[3,5]' 3000 550 'total_flow[3,7]' 200 551 'total_flow[3,8]' 0.00301425 552 'total_flow[4,2]' 299.999 553 'total_flow[4,6]' 10000 554 'total_flow[4,8]' 0.00306823 555 'total_flow[4,9]' 2099.99 556 'total_flow[5,3]' 1299.99 557 'total_flow[5,6]' 0 558 'total_flow[5,8]' 0.0031426 559 'total_flow[5,9]' 1199.99 560 'total_flow[6,4]' 0.00256974 561 'total_flow[6,5]' 999.995 562 'total_flow[6,9]' 0.00252559 563 'total_flow[7,1]' 0.00252559 564 'total_flow[7,2]' 200 565 'total_flow[7,3]' 2000 566 'total_flow[7,8]' 0.00170723 567 'total_flow[8,2]' 0.0031426 568 'total_flow[8,3]' 0.00306823 569 'total_flow[8,4]' 0.00301425 570 'total_flow[8,5]' 0.00290459 571 'total_flow[8,7]' 0.00252559 572 'total_flow[8,9]' 0.00170723 573 'total_flow[9,4]' 1199.99 574 'total_flow[9,5]' 2099.99 575 'total_flow[9,6]' 0.00170723 576 'total_flow[9,8]' 0.00252559 ; : _conname _con := 1 'Balance[1,6,1]' -0.3587 2 'Balance[1,6,2]' 0 3 'Balance[1,6,3]' 0.0412996 4 'Balance[1,6,4]' 1.0225 5 'Balance[1,6,5]' 1.08154 6 'Balance[1,6,6]' 1.3812 7 'Balance[1,6,7]' -0.0324686 8 'Balance[1,6,8]' 0.511251 9 'Balance[1,6,9]' 1.05497 10 'Balance[2,3,1]' 0.419337 11 'Balance[2,3,2]' 0 12 'Balance[2,3,3]' 0.418929 13 'Balance[2,3,4]' -0.642932 14 'Balance[2,3,5]' -0.637292 15 'Balance[2,3,6]' -1.06227 16 'Balance[2,3,7]' 0.157098 17 'Balance[2,3,8]' -0.20596 18 'Balance[2,3,9]' -0.801639 19 'Balance[2,4,1]' 0.419337 20 'Balance[2,4,2]' 0 21 'Balance[2,4,3]' 0.32376 22 'Balance[2,4,4]' 1.0225 23 'Balance[2,4,5]' 1.02814 24 'Balance[2,4,6]' 0.603165 25 'Balance[2,4,7]' 0.0619296 26 'Balance[2,4,8]' 0.605649 27 'Balance[2,4,9]' 0.863795 28 'Balance[2,5,1]' 0.419337 29 'Balance[2,5,2]' 0 30 'Balance[2,5,3]' 0.407316 31 'Balance[2,5,4]' 1.0225 32 'Balance[2,5,5]' 1.44107 33 'Balance[2,5,6]' 1.3812 34 'Balance[2,5,7]' 0.145485 35 'Balance[2,5,8]' 0.689205 36 'Balance[2,5,9]' 1.17946 37 'Balance[3,2,1]' -0.0225701 38 'Balance[3,2,2]' 0 39 'Balance[3,2,3]' -0.447547 40 'Balance[3,2,4]' -0.120976 41 'Balance[3,2,5]' -0.461771 42 'Balance[3,2,6]' -0.0617709 43 'Balance[3,2,7]' -0.16783 44 'Balance[3,2,8]' 0.315996 45 'Balance[3,2,9]' -0.279683 46 'Balance[3,4,1]' -0.0225701 47 'Balance[3,4,2]' 0 48 'Balance[3,4,3]' -0.447547 49 'Balance[3,4,4]' 1.01591 50 'Balance[3,4,5]' 0.59269 51 'Balance[3,4,6]' 0.596573 52 'Balance[3,4,7]' -0.16783 53 'Balance[3,4,8]' 0.315996 54 'Balance[3,4,9]' 0.857203 55 'Balance[3,5,1]' 0.419337 56 'Balance[3,5,2]' 0 57 'Balance[3,5,3]' -0.00563945 58 'Balance[3,5,4]' 0.931703 59 'Balance[3,5,5]' 1.0346 60 'Balance[3,5,6]' 1.09923 61 'Balance[3,5,7]' 0.0619296 62 'Balance[3,5,8]' 0.282737 63 'Balance[3,5,9]' 0.772996 64 'Balance[4,2,1]' 0.189578 65 'Balance[4,2,2]' 0 66 'Balance[4,2,3]' 0.0940004 67 'Balance[4,2,4]' -1.0675 68 'Balance[4,2,5]' -0.96222 69 'Balance[4,2,6]' -1.3872 70 'Balance[4,2,7]' -0.16783 71 'Balance[4,2,8]' -0.43411 72 'Balance[4,2,9]' -1.02979 73 'Balance[4,3,1]' 0.419337 74 'Balance[4,3,2]' 0 75 'Balance[4,3,3]' 0.407284 76 'Balance[4,3,4]' -1.0675 77 'Balance[4,3,5]' -0.648937 78 'Balance[4,3,6]' -1.07391 79 'Balance[4,3,7]' 0.145454 80 'Balance[4,3,8]' -0.362168 81 'Balance[4,3,9]' -0.910539 82 'Balance[4,5,1]' 0.189578 83 'Balance[4,5,2]' 0 84 'Balance[4,5,3]' -0.235399 85 'Balance[4,5,4]' 0.386275 86 'Balance[4,5,5]' 0.804838 87 'Balance[4,5,6]' 0.379861 88 'Balance[4,5,7]' -0.16783 89 'Balance[4,5,8]' 0.0529779 90 'Balance[4,5,9]' 0.543236 91 'Balance[5,2,1]' -0.00952218 92 'Balance[5,2,2]' 0 93 'Balance[5,2,3]' -0.434499 94 'Balance[5,2,4]' -1.0675 95 'Balance[5,2,5]' -1.49072 96 'Balance[5,2,6]' -1.48684 97 'Balance[5,2,7]' -0.16783 98 'Balance[5,2,8]' -0.712953 99 'Balance[5,2,9]' -1.22621 100 'Balance[5,3,1]' 0.240134 101 'Balance[5,3,2]' 0 102 'Balance[5,3,3]' 0.0564995 103 'Balance[5,3,4]' -0.576501 104 'Balance[5,3,5]' -0.999721 105 'Balance[5,3,6]' -0.995839 106 'Balance[5,3,7]' -0.117273 107 'Balance[5,3,8]' -0.712953 108 'Balance[5,3,9]' -0.735209 109 'Balance[5,4,1]' 0.240134 110 'Balance[5,4,2]' 0 111 'Balance[5,4,3]' -0.184842 112 'Balance[5,4,4]' -0.0130387 113 'Balance[5,4,5]' -0.436259 114 'Balance[5,4,6]' -0.432376 115 'Balance[5,4,7]' -0.117273 116 'Balance[5,4,8]' -0.712953 117 'Balance[5,4,9]' -0.171746 118 'Balance[6,1,1]' 0.419337 119 'Balance[6,1,2]' 0 120 'Balance[6,1,3]' -0.00563945 121 'Balance[6,1,4]' -1.0675 122 'Balance[6,1,5]' -1.06186 123 'Balance[6,1,6]' -1.48684 124 'Balance[6,1,7]' 0.0619296 125 'Balance[6,1,8]' -0.53375 126 'Balance[6,1,9]' -1.12943 127 '=total_flow[1,2]' 0.3587 128 '=total_flow[1,3]' 0.4 129 '=total_flow[1,7]' 0.326232 130 '=total_flow[2,1]' 0.419337 131 '=total_flow[2,4]' 1.0225 132 '=total_flow[2,7]' 0.157098 133 '=total_flow[2,8]' 0.689205 134 '=total_flow[3,1]' 0.424977 135 '=total_flow[3,5]' 1.04024 136 '=total_flow[3,7]' 0.279717 137 '=total_flow[3,8]' 0.763543 138 '=total_flow[4,2]' 1.0675 139 '=total_flow[4,6]' 0.3587 140 '=total_flow[4,8]' 0.705331 141 '=total_flow[4,9]' 0.156961 142 '=total_flow[5,3]' 1.05622 143 '=total_flow[5,6]' 0.4 144 '=total_flow[5,8]' 0.777767 145 '=total_flow[5,9]' 0.264512 146 '=total_flow[6,4]' 0.419337 147 '=total_flow[6,5]' 0.424977 148 '=total_flow[6,9]' 0.357408 149 '=total_flow[7,1]' 0.357408 150 '=total_flow[7,2]' 0.16783 151 '=total_flow[7,3]' 0.26183 152 '=total_flow[7,8]' 0.54372 153 '=total_flow[8,2]' 0.712953 154 '=total_flow[8,3]' 0.769452 155 '=total_flow[8,4]' 0.699914 156 '=total_flow[8,5]' 0.75186 157 '=total_flow[8,7]' 0.595679 158 '=total_flow[8,9]' 0.54372 159 '=total_flow[9,4]' 0.158707 160 '=total_flow[9,5]' 0.261602 161 '=total_flow[9,6]' 0.326232 162 '=total_flow[9,8]' 0.595679 ; ==> tre.mod <== MINOS 5.5: optimal solution found. 4 iterations, objective -1.776355967e-15 : _varname _var := 1 'x[1]' -2 2 'x[2]' 2.95407e-11 ; :_conname _con := ; ==> weapon.mod <== MINOS 5.5: ignoring integrality of 100 variables MINOS 5.5: optimal solution found. 168 iterations, objective -1735.56958 : _varname _var := 1 'x[1,1]' 0 2 'x[1,2]' 13.5165 3 'x[1,3]' 0 4 'x[1,4]' 0 5 'x[1,5]' 0 6 'x[1,6]' 100 7 'x[1,7]' 39.1 8 'x[1,8]' 27.0667 9 'x[1,9]' 20.3168 10 'x[1,10]' 0 11 'x[1,11]' 0 12 'x[1,12]' 0 13 'x[1,13]' 0 14 'x[1,14]' 0 15 'x[1,15]' 0 16 'x[1,16]' 0 17 'x[1,17]' 0 18 'x[1,18]' 0 19 'x[1,19]' 0 20 'x[1,20]' 0 21 'x[2,1]' 0 22 'x[2,2]' 1.36046 23 'x[2,3]' 0 24 'x[2,4]' 23.4895 25 'x[2,5]' 20.8996 26 'x[2,6]' 0 27 'x[2,7]' 0 28 'x[2,8]' 0 29 'x[2,9]' 0 30 'x[2,10]' 0 31 'x[2,11]' 0 32 'x[2,12]' 0 33 'x[2,13]' 0 34 'x[2,14]' 0 35 'x[2,15]' 26.2112 36 'x[2,16]' 24.2365 37 'x[2,17]' 3.80276 38 'x[2,18]' 0 39 'x[2,19]' 0 40 'x[2,20]' 0 41 'x[3,1]' 0 42 'x[3,2]' 0 43 'x[3,3]' 0 44 'x[3,4]' 0 45 'x[3,5]' 0 46 'x[3,6]' 0 47 'x[3,7]' 0 48 'x[3,8]' 0 49 'x[3,9]' 0 50 'x[3,10]' 0 51 'x[3,11]' 0 52 'x[3,12]' 0 53 'x[3,13]' 0 54 'x[3,14]' 0 55 'x[3,15]' 43.7888 56 'x[3,16]' 0 57 'x[3,17]' 72.0338 58 'x[3,18]' 57.5515 59 'x[3,19]' 64.2115 60 'x[3,20]' 62.4143 61 'x[4,1]' 0 62 'x[4,2]' 0 63 'x[4,3]' 0 64 'x[4,4]' 0 65 'x[4,5]' 0 66 'x[4,6]' 0 67 'x[4,7]' 0 68 'x[4,8]' 0 69 'x[4,9]' 0 70 'x[4,10]' 0 71 'x[4,11]' 33.1974 72 'x[4,12]' 40.9343 73 'x[4,13]' 0 74 'x[4,14]' 58.8237 75 'x[4,15]' 0 76 'x[4,16]' 17.0446 77 'x[4,17]' 0 78 'x[4,18]' 0 79 'x[4,19]' 0 80 'x[4,20]' 0 81 'x[5,1]' 50.8155 82 'x[5,2]' 45.4082 83 'x[5,3]' 48.6289 84 'x[5,4]' 0 85 'x[5,5]' 0 86 'x[5,6]' 0 87 'x[5,7]' 0 88 'x[5,8]' 0 89 'x[5,9]' 0 90 'x[5,10]' 51.1323 91 'x[5,11]' 0 92 'x[5,12]' 0 93 'x[5,13]' 54.0152 94 'x[5,14]' 0 95 'x[5,15]' 0 96 'x[5,16]' 0 97 'x[5,17]' 0 98 'x[5,18]' 0 99 'x[5,19]' 0 100 'x[5,20]' 0 ; : _conname _con := 1 'cc[1]' 1.99942e-08 2 'cc[6]' 0.0599266 3 'cc[10]' 8.08676e-08 4 'cc[14]' -1.8292e-08 5 'cc[15]' 0.0269988 6 'cc[16]' 6.72292e-09 7 'cc[20]' 0 8 'bb[1]' 0.0599275 9 'bb[2]' 0.217694 10 'bb[3]' 0.0687075 11 'bb[4]' 0.123585 12 'bb[5]' 0.0722909 ;