| [5443b1] | 1 | % Demo program for levmar's MEX-file interface
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 | 2 | % Performs minimization of several test problems
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 | 3 | 
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 | 4 | format long;
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 | 5 | 
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 | 6 | % Unconstrained minimization
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 | 7 | 
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 | 8 | % fitting the exponential model x_i=p(1)*exp(-p(2)*i)+p(3) of expfit.c to noisy measurements obtained with (5.0 0.1 1.0)
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 | 9 | p0=[1.0, 0.0, 0.0];
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 | 10 | x=[5.8728, 5.4948, 5.0081, 4.5929, 4.3574, 4.1198, 3.6843, 3.3642, 2.9742, 3.0237, 2.7002, 2.8781,...
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 | 11 |    2.5144, 2.4432, 2.2894, 2.0938, 1.9265, 2.1271, 1.8387, 1.7791, 1.6686, 1.6232, 1.571, 1.6057,...
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 | 12 |    1.3825, 1.5087, 1.3624, 1.4206, 1.2097, 1.3129, 1.131, 1.306, 1.2008, 1.3469, 1.1837, 1.2102,...
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 | 13 |    0.96518, 1.2129, 1.2003, 1.0743];
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 | 14 | 
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 | 15 | options=[1E-03, 1E-15, 1E-15, 1E-20, 1E-06];
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 | 16 | % arg demonstrates additional data passing to expfit/jacexpfit
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 | 17 | arg=[40];
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 | 18 | 
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 | 19 | [ret, popt, info]=levmar('expfit', 'jacexpfit', p0, x, 200, options, arg);
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 | 20 | disp('Exponential model fitting (see also ../expfit.c)');
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 | 21 | popt
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 | 22 | 
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 | 23 | 
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 | 24 | % Meyer's (reformulated) problem
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 | 25 | p0=[8.85, 4.0, 2.5];
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 | 26 | 
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 | 27 | x=[];
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 | 28 | x(1:4)=[34.780, 28.610, 23.650, 19.630];
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 | 29 | x(5:8)=[16.370, 13.720, 11.540, 9.744];
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 | 30 | x(9:12)=[8.261, 7.030, 6.005, 5.147];
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 | 31 | x(13:16)=[4.427, 3.820, 3.307, 2.872];
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 | 32 | 
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 | 33 | options=[1E-03, 1E-15, 1E-15, 1E-20, 1E-06];
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 | 34 | % arg1, arg2 demonstrate additional dummy data passing to meyer/jacmeyer
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 | 35 | arg1=[17];
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 | 36 | arg2=[27];
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 | 37 | 
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 | 38 | %[ret, popt, info]=levmar('meyer', 'jacmeyer', p0, x, 200, options, arg1, arg2);
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 | 39 | 
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 | 40 | %[ret, popt, info, covar]=levmar('meyer', 'jacmeyer', p0, x, 200, options, arg1, arg2);
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 | 41 | [ret, popt, info, covar]=levmar('meyer', p0, x, 200, options, 'unc', arg1, arg2);
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 | 42 | disp('Meyer''s (reformulated) problem');
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 | 43 | popt
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 | 44 | 
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 | 45 | 
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 | 46 | % Osborne's problem
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 | 47 | p0=[0.5, 1.5, -1.0, 1.0E-2, 2.0E-2];
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 | 48 | 
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 | 49 | x=[8.44E-1, 9.08E-1, 9.32E-1, 9.36E-1, 9.25E-1, 9.08E-1, 8.81E-1,...
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 | 50 | 8.5E-1, 8.18E-1, 7.84E-1, 7.51E-1, 7.18E-1, 6.85E-1, 6.58E-1,...
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 | 51 | 6.28E-1, 6.03E-1, 5.8E-1, 5.58E-1, 5.38E-1, 5.22E-1, 5.06E-1,...
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 | 52 | 4.9E-1, 4.78E-1, 4.67E-1, 4.57E-1, 4.48E-1, 4.38E-1, 4.31E-1,...
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 | 53 | 4.24E-1, 4.2E-1, 4.14E-1, 4.11E-1, 4.06E-1];
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 | 54 | 
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 | 55 | 
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 | 56 | options=[1E-03, 1E-15, 1E-15, 1E-20, 1E-06];
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 | 57 | 
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 | 58 | [ret, popt, info, covar]=levmar('osborne', 'jacosborne', p0, x, 200, options);
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 | 59 | %[ret, popt, info, covar]=levmar('osborne', p0, x, 200, options, 'unc');
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 | 60 | disp('Osborne''s problem');
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 | 61 | popt
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 | 62 | 
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 | 63 | 
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 | 64 | % Linear constraints
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 | 65 | 
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 | 66 | % Boggs-Tolle problem 3
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 | 67 | p0=[2.0, 2.0, 2.0, 2.0, 2.0];
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 | 68 | x=[0.0, 0.0, 0.0, 0.0, 0.0];
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 | 69 | options=[1E-03, 1E-15, 1E-15, 1E-20];
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 | 70 | adata=[];
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 | 71 | 
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 | 72 | A=[1.0, 3.0, 0.0, 0.0, 0.0;
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 | 73 |    0.0, 0.0, 1.0, 1.0, -2.0;
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 | 74 |    0.0, 1.0, 0.0, 0.0, -1.0];
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 | 75 | b=[0.0, 0.0, 0.0]';
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 | 76 | 
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 | 77 | [ret, popt, info, covar]=levmar('bt3', 'jacbt3', p0, x, 200, options, 'lec', A, b, adata);
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 | 78 | disp('Boggs-Tolle problem 3');
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 | 79 | popt
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 | 80 | 
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 | 81 | 
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 | 82 | % Box constraints
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 | 83 | 
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 | 84 | % Hock-Schittkowski problem 01
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 | 85 | p0=[-2.0, 1.0];
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 | 86 | x=[0.0, 0.0];
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 | 87 | lb=[-realmax, -1.5];
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 | 88 | ub=[realmax, realmax];
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 | 89 | options=[1E-03, 1E-15, 1E-15, 1E-20];
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 | 90 | 
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 | 91 | [ret, popt, info, covar]=levmar('hs01', 'jachs01', p0, x, 200, options, 'bc', lb, ub);
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 | 92 | disp('Hock-Schittkowski problem 01');
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 | 93 | popt
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 | 94 | 
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 | 95 | 
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 | 96 | % Box and linear constraints
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 | 97 | 
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 | 98 | % Hock-Schittkowski modified problem 52 (#1)
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 | 99 | p0=[2.0, 2.0, 2.0, 2.0, 2.0];
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 | 100 | x=[0.0, 0.0, 0.0, 0.0];
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 | 101 | lb=[-0.09, 0.0, -realmax, -0.2, 0.0];
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 | 102 | ub=[realmax, 0.3, 0.25, 0.3, 0.3];
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 | 103 | A=[1.0, 3.0, 0.0, 0.0, 0.0;
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 | 104 |    0.0, 0.0, 1.0, 1.0, -2.0;
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 | 105 |    0.0, 1.0, 0.0, 0.0, -1.0];
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 | 106 | b=[0.0, 0.0, 0.0]';
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 | 107 | options=[1E-03, 1E-15, 1E-15, 1E-20];
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 | 108 | 
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 | 109 | [ret, popt, info, covar]=levmar('modhs52', 'jacmodhs52', p0, x, 200, options, 'blec', lb, ub, A, b);
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 | 110 | disp('Hock-Schittkowski modified problem 52 (#1)');
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 | 111 | popt
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 | 112 | 
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 | 113 | % Schittkowski modified problem 235
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 | 114 | p0=[-2.0, 3.0, 1.0];
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 | 115 | x=[0.0, 0.0];
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 | 116 | lb=[-realmax, 0.1, 0.7];
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 | 117 | ub=[realmax, 2.9, realmax];
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 | 118 | A=[1.0, 0.0, 1.0;
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 | 119 |    0.0, 1.0, -4.0];
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 | 120 | b=[-1.0, 0.0]';
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 | 121 | options=[1E-03, 1E-15, 1E-15, 1E-20];
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 | 122 | 
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 | 123 | [ret, popt, info, covar]=levmar('mods235', p0, x, 200, options, 'blec', lb, ub, A, b);
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 | 124 | disp('Hock-Schittkowski modified problem 235');
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 | 125 | popt
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 | 126 | 
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 | 127 | % Box, linear equation & inequality constraints
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 | 128 | p0=[0.5, 0.5, 0.5, 0.5];
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 | 129 | x=[0.0, 0.0, 0.0, 0.0];
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 | 130 | lb=[0.0, 0.0, 0.0, 0.0];
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 | 131 | ub=[realmax, realmax, realmax, realmax];
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 | 132 | A=[0.0, 1.0, 4.0, 0.0];
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 | 133 | b=[1.5]';
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 | 134 | C=[-1.0, -2.0, -1.0, -1.0;
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 | 135 |    -3.0, -1.0, -2.0, 1.0];
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 | 136 | d=[-5.0, -0.4]';
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 | 137 | 
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 | 138 | [ret, popt, info, covar]=levmar('modhs76', 'jacmodhs76', p0, x, 200, options, 'bleic', lb, ub, A, b, C, d);
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 | 139 | disp('Hock-Schittkowski modified problem 76');
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 | 140 | popt
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