set exp dies ist bla /1*100/ quantities /dZ1,dZ2,Z1,Z2/; variables dZ1_mod, dZ2_mod, dZ3_mod, P1, P2, w; table meas(exp,quantities) dZ1 dZ2 Z1 Z2 1 -4.929076861 5.210211767 1.152521402 0.042792688 2 -5.020177241 4.804675514 0.808622175 0.095500626 3 -4.724728235 4.405503009 0.852559986 0.181360936 4 -4.197250047 4.072138549 0.64944149 0.170939463 5 -3.854543244 3.839018695 0.872838041 0.184037322 6 -3.841844851 3.552643068 0.777737924 0.320380062 7 -3.836504134 3.231767094 0.766921633 0.334328872 8 -3.580573097 3.082286231 0.666715179 0.282785371 9 -2.897520981 3.067710555 0.542997257 0.294463463 10 -1.964807636 2.911112525 0.596189826 0.478090385 11 -0.99072652 2.652705875 0.428784167 0.401093905 12 -0.356403204 2.447754613 0.511658667 0.438278811 13 -0.58937813 2.232125326 0.762961306 0.476131323 14 -1.423980704 2.003358062 0.662697344 0.407324035 15 -2.21462856 1.580850502 0.554365587 0.591119455 16 -2.731006053 0.962310544 0.488707968 0.740468664 17 -3.04365536 0.85827929 0.498080789 0.261418394 18 -3.228418367 1.152246768 0.438243461 0.557090869 19 -3.338034466 1.251613391 0.458806569 0.654319102 20 -3.367435664 1.437769505 0.456586956 0.473870038 21 -3.115969043 1.736150999 0.278454346 0.586155742 22 -2.645424873 1.942774031 0.320144471 0.607105445 23 -2.189972365 2.086809048 0.314904082 0.525731433 24 -1.777661449 1.963812166 0.26774168 0.692561165 25 -1.455933941 1.474630073 0.229525573 0.764909383 26 -1.386244237 0.994571916 0.341852056 0.650989919 27 -1.490145865 0.731322601 0.293848508 0.67678448 28 -1.475658227 0.636148751 0.201666321 0.566932051 29 -1.305957249 0.426293634 0.185173437 0.785779449 30 -1.12771787 0.04705054 0.242178652 0.635445265 31 -0.93404506 -0.413392959 0.182994586 0.708936407 32 -0.67111146 -1.04961454 0.153498732 0.809307065 33 -0.446815083 -1.525146036 0.182531025 0.619457967 34 -0.338796453 -1.666255093 0.151807061 0.635692222 35 -0.407008765 -1.639333537 0.203283701 0.675682703 36 -0.646518325 -1.400801759 0.241530299 0.635769253 37 -0.825474429 -0.831158915 0.103736312 0.497643808 38 -0.911976669 -0.167303373 0.174604193 0.732322995 39 -0.990905665 0.62014834 0.154279516 0.475764055 40 -0.988607642 1.515960138 0.112519414 0.628026547 41 -0.929344213 2.228849258 0.153481692 0.48031172 42 -0.793992303 2.408251197 0.100691848 0.842187614 43 -0.548337308 2.107868078 0.072629552 0.678940211 44 -0.30862246 1.740145965 0.085905503 0.730398034 45 -0.199745743 1.35500864 0.117582574 0.630318612 46 -0.22769415 0.80580876 0.108483797 0.874448169 47 -0.336071911 0.223111103 0.114492058 0.608552685 48 -0.464392667 -0.351541748 0.099621369 0.812127192 49 -0.556849337 -1.034126053 0.108045067 0.809649074 50 -0.551263403 -1.448784309 0.04917176 0.586646301 51 -0.476694071 -1.704762332 0.073326078 0.709094037 52 -0.417225439 -2.081321989 0.068877843 0.666775564 53 -0.389348947 -2.587283515 0.069832598 0.921310634 54 -0.398034582 -2.631633096 0.081548588 0.51628891 55 -0.400731189 -1.859821847 0.055278611 0.438051383 56 -0.370025237 -0.939383515 0.063879494 0.677664758 57 -0.300905044 -0.070572833 0.035739653 0.511539357 58 -0.216522958 0.76448341 0.044949747 0.556732919 59 -0.169799143 1.3020752 0.062181084 0.669078681 60 -0.142357932 1.616428778 0.03242683 0.461840603 61 -0.136605273 1.498343043 0.060761189 0.752877867 62 -0.151390894 0.863490697 0.040689324 0.668044049 63 -0.159971731 0.047371094 0.04737883 0.786322396 64 -0.159410801 -0.574871088 0.031175909 0.570226832 65 -0.161289352 -0.862506847 0.044633295 0.714392725 66 -0.176048968 -0.819913391 0.036878093 0.465694926 67 -0.193359252 -0.659870614 0.04389209 0.624468936 68 -0.196364074 -0.769440794 0.029730738 0.72445648 69 -0.175774583 -0.892019086 0.027084078 0.511141756 70 -0.152062506 -1.001840732 0.025638818 0.593160809 71 -0.146950899 -1.340783938 0.040081914 0.767815898 72 -0.14496122 -1.496169471 0.025530842 0.48416973 73 -0.12396667 -1.250523019 0.017633834 0.443326368 74 -0.106930717 -1.084258476 0.029425957 0.671062554 75 -0.101997304 -0.977273722 0.023645323 0.55841307 76 -0.098336766 -0.586323738 0.020787796 0.434078205 77 -0.100212626 -0.083208524 0.023489982 0.453461562 78 -0.107571112 0.139565165 0.023845972 0.58562333 79 -0.108550424 0.053143082 0.016809073 0.56983177 80 -0.101673877 -0.100927226 0.018731098 0.500872696 81 -0.092207601 -0.282909341 0.016348076 0.558760615 82 -0.081713368 -0.474131845 0.014663933 0.589622284 83 -0.076782302 -0.433099514 0.017272617 0.448543882 84 -0.077965815 -0.157679969 0.017168172 0.487572439 85 -0.076358614 0.132207401 0.010361125 0.441478787 86 -0.075308634 0.207371527 0.016590475 0.649182578 87 -0.07587083 0.215336441 0.013298633 0.377747602 88 -0.068747593 0.144115147 0.011704958 0.665540906 89 -0.052360356 0.010838002 0.007973768 0.441881692 90 -0.03420236 -0.022331664 0.010545574 0.494114637 91 -0.021938025 -0.198810051 0.010429111 0.583761645 92 -0.01585179 -0.425106456 0.010270257 0.55722161 93 -0.015702871 -0.449043423 0.008735893 0.448370318 94 -0.02427606 -0.319247055 0.010791617 0.561656745 95 -0.042259473 -0.053903227 0.011377885 0.361092198 96 -0.062975698 0.13723839 0.010289292 0.597710065 97 -0.078782549 0.131770053 0.007477144 0.571757953 98 -0.088257932 0.302660624 0.007957284 0.461520606 99 -0.090934137 0.681674147 0.007670451 0.492407315 100 -0.084529498 1.14397128 0.005908479 0.539847874 ; equations E1, E2, obj; E1(exp).. dZ1_mod(exp) =E= -P1*meas(exp, 'Z1') ; E2(exp).. dZ2_mod(exp) =E= P1*meas(exp, 'Z1') - P2*meas(exp, 'Z2'); Obj.. w =E= sum( exp, (dZ1_mod(exp) - meas(exp, 'dZ1'))*(dZ1_mod(exp) - meas(exp, 'dZ1')) + (dZ2_mod(exp) - meas(exp, 'dZ2'))*(dZ2_mod(exp) - meas(exp, 'dZ2')) ); P1.lo = 0; P1.up = 10; P2.lo = 0; P2.up = 10; MODEL TEST / E1, E2, obj / ; OPTION LIMROW = 0.0; OPTION LIMCOL = 0.0; *OPTION MINLP=SBB; SOLVE TEST USING NLP minimiZING w;