| 1 | loadString(" | 
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| 2 | model Test | 
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| 3 | parameter Integer N = 100; | 
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| 4 | parameter Real k_min = 1; | 
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| 5 | parameter Real k_max = 2; | 
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| 6 | parameter Real d_0_a = 0.5; | 
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| 7 | parameter Real d_0_b = 3; | 
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| 8 | parameter Real d_tot = 1; | 
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| 9 | final parameter Real s_0_a = d_0_a/N; | 
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| 10 | final parameter Real s_0_b = d_0_b/N; | 
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| 11 | Real d[N+1]; | 
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| 12 | Real s[N]; | 
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| 13 | Real F_a[N]; | 
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| 14 | Real F_b[N]; | 
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| 15 | Real k[N]; | 
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| 16 | equation | 
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| 17 | d[1] = 0; | 
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| 18 | for i in 1:N loop | 
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| 19 | d[i+1] = d[i] + s[i]; | 
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| 20 | s[i]*(1 + abs(s[i])/s_0_a)*k[i]*N = F_a[i]; | 
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| 21 | s[i]*(1 + abs(s[i])/s_0_b)*k[i]*N = F_b[i]; | 
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| 22 | k[i] = k_min + (k_max-k_min)/(N-1)*(i-1); | 
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| 23 | end for; | 
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| 24 | for i in 1:N-1 loop | 
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| 25 | F_a[i] + F_b[i] = F_a[i+1] + F_b[i+1]; | 
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| 26 | end for; | 
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| 27 | d[end] = d_tot; | 
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| 28 | end Test; | 
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| 29 | ");getErrorString(); | 
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| 30 |  | 
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| 31 | loadString(" | 
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| 32 | // Well-scaled models | 
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| 33 | model TestW1 \"Base case\" | 
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| 34 | extends Test; | 
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| 35 | end TestW1; | 
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| 36 |  | 
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| 37 | model TestW2 \"Less variables\" | 
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| 38 | extends TestW1(N = 10); | 
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| 39 | end TestW2; | 
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| 40 |  | 
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| 41 | model TestW3 \"More variables\" | 
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| 42 | extends TestW1(N = 1000); | 
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| 43 | end TestW3; | 
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| 44 |  | 
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| 45 | model TestW4 \"More strongly nonlinear\" | 
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| 46 | extends TestW1(d_0_a = 0.1, d_0_b = 1); | 
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| 47 | end TestW4; | 
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| 48 |  | 
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| 49 | // Badly-scaled models | 
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| 50 | model TestB1 \"Base case\" | 
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| 51 | extends Test(k_min = 1e9, k_max = 2e9, | 
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| 52 | F_a(each nominal = 1e9), F_b(each nominal = 1e9)); | 
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| 53 | end TestB1; | 
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| 54 |  | 
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| 55 | model TestB2 \"Less variables\" | 
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| 56 | extends TestB1(N = 10); | 
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| 57 | end TestB2; | 
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| 58 |  | 
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| 59 | model TestB3 \"More variables\" | 
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| 60 | extends TestB1(N = 1000); | 
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| 61 | end TestB3; | 
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| 62 |  | 
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| 63 | model TestB4 \"More strongly nonlinear\" | 
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| 64 | extends TestB1(d_0_a = 0.1, d_0_b = 1); | 
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| 65 | end TestB4; | 
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| 66 |  | 
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| 67 | model TestB5 \"Less badly scaled\" | 
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| 68 | extends TestB1(k_min = 1e6, k_max = 2e6, | 
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| 69 | F_a(each nominal = 1e6), F_b(each nominal = 1e6)); | 
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| 70 | end TestB5; | 
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| 71 |  | 
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| 72 | model TestB6 \"More badly scaled\" | 
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| 73 | extends TestB1(k_min = 1e12, k_max = 2e12, | 
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| 74 | F_a(each nominal = 1e12), F_b(each nominal = 1e12)); | 
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| 75 | end TestB6; | 
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| 76 |  | 
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| 77 | model TestB7 \"Nominal values off by 3 o.d.g.\" | 
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| 78 | extends TestB1(F_a(each nominal = 1e6), F_b(each nominal = 1e6)); | 
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| 79 | end TestB7; | 
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| 80 |  | 
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| 81 | model TestB8 \"Nominal values off by 5 o.d.g.\" | 
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| 82 | extends TestB1(F_a(each nominal = 1e4), F_b(each nominal = 1e4)); | 
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| 83 | end TestB8; | 
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| 84 |  | 
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| 85 | model TestB9 \"Nominal values off by 7 o.d.g.\" | 
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| 86 | extends TestB1(F_a(each nominal = 1e2), F_b(each nominal = 1e2)); | 
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| 87 | end TestB9; | 
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| 88 |  | 
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| 89 | model TestB10 \"Nominal values off by 9 o.d.g.\" | 
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| 90 | extends TestB1(F_a(each nominal = 1e0), F_b(each nominal = 1e0)); | 
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| 91 | end TestB10; | 
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| 92 |  | 
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| 93 |  | 
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| 94 | ");getErrorString(); | 
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| 95 |  | 
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| 96 | setCommandLineOptions("--maxSizeNonlinearTearing=0");getErrorString(); | 
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| 97 | setCommandLineOptions("--preOptModules-=removeSimpleEquations");getErrorString(); | 
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| 98 | setCommandLineOptions("--postOptModules-=removeSimpleEquations");getErrorString(); | 
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| 99 | setCommandLineOptions("--maxSizeNonlinearTearing=0");getErrorString(); | 
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| 100 |  | 
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| 101 | //simulate(TestW1, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 102 | //simulate(TestW2, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 103 | //simulate(TestW3, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 104 | //simulate(TestW4, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 105 |  | 
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| 106 | //simulate(TestB1, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 107 | //simulate(TestB2, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 108 | //simulate(TestB3, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 109 | //simulate(TestB4, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 110 | //simulate(TestB5, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 111 | //simulate(TestB6, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 112 | //simulate(TestB7, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 113 | //simulate(TestB8, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 114 | //simulate(TestB9, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 115 | //simulate(TestB10, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler");getErrorString(); | 
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| 116 |  | 
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| 117 | //simulate(TestB1, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); | 
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| 118 | //simulate(TestB2, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); | 
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| 119 | //simulate(TestB3, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); | 
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| 120 | //simulate(TestB4, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); | 
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| 121 | simulate(TestB5, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); | 
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| 122 | simulate(TestB6, numberOfIntervals = 0, simflags="-lv=LOG_NLS_V -nls=kinsol -s=euler -noScaling");getErrorString(); | 
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