1 | function display(X) |
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2 | %DISPLAY (overloaded) |
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3 | |
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4 | % Author Johan Löfberg |
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5 | % $Id: display.m,v 1.2 2006/08/10 23:02:56 joloef Exp $ |
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6 | |
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7 | switch(X.typeflag) |
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8 | case {0,9} |
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9 | n = X.dim(1); |
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10 | m = X.dim(2); |
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11 | if (n*m==1) |
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12 | |
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13 | linearbilinearquadraticsigmonial = is(X,'LBQS'); |
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14 | if linearbilinearquadraticsigmonial(1) |
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15 | classification = 'Noncommuting linear scalar '; |
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16 | elseif linearbilinearquadraticsigmonial(4) |
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17 | classification = 'Noncommuting sigmonial scalar '; |
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18 | elseif linearbilinearquadraticsigmonial(2) |
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19 | classification = 'Noncommuting bilinear scalar '; |
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20 | elseif linearbilinearquadraticsigmonial(3) |
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21 | classification = 'Noncommuting quadratic scalar '; |
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22 | else |
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23 | classification = 'Noncommuting polynomial scalar '; |
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24 | end |
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25 | |
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26 | if ~isreal(X.basis) |
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27 | classification = [classification '(complex']; |
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28 | else |
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29 | classification = [classification '(real']; |
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30 | end |
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31 | |
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32 | if is(X,'compound') |
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33 | classification = [classification ', derived']; |
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34 | end |
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35 | |
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36 | if ~islinear(X) |
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37 | variables = getvariables(X); |
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38 | monomtable = yalmip('monomtable'); |
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39 | if ((nnz(getbasematrix(X,0))==0) ) & (sum(diff(sum(monomtable(variables,:),2)))==0) |
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40 | classification = [classification ', homogeneous']; |
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41 | end |
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42 | end |
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43 | if any(ismember(depends(X),yalmip('intvariables'))) |
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44 | classification = [classification ', integer']; |
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45 | else |
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46 | if any(ismember(depends(X),yalmip('binvariables'))) |
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47 | classification = [classification ', binary']; |
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48 | else |
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49 | if any(ismember(depends(X),yalmip('uncvariables'))) |
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50 | classification = [classification ', uncertain']; |
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51 | end |
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52 | end |
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53 | end |
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54 | |
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55 | nvars = length(depends(X)); |
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56 | if nvars == 1 |
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57 | classification = [classification ', ' num2str(nvars) ' variable']; |
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58 | else |
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59 | classification = [classification ', ' num2str(nvars) ' variables']; |
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60 | end |
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61 | |
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62 | if any(ismember(depends(X),yalmip('parvariables'))) |
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63 | classification = [classification ', parametric']; |
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64 | end |
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65 | if ~isnan(double(X)) |
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66 | classification = [classification ', current value : ' num2str(double(X))]; |
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67 | end |
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68 | classification = [classification ')']; |
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69 | |
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70 | disp([classification]); |
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71 | else |
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72 | |
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73 | if islinear(X) |
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74 | classification = 'Noncommuting linear matrix variable '; |
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75 | elseif is(X,'sigmonial') |
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76 | classification = 'Noncommuting sigmonial matrix variable '; |
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77 | elseif is(X,'bilinear') |
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78 | classification = 'Noncommuting bilinear matrix variable '; |
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79 | elseif is(X,'quadratic') |
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80 | classification = 'Noncommuting quadratic matrix variable '; |
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81 | else |
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82 | classification = 'Noncommuting polynomial matrix variable '; |
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83 | end |
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84 | |
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85 | if isreal(X.basis) |
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86 | if issymmetric(X) |
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87 | info = ' (symmetric, '; |
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88 | else |
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89 | info = ' (full, '; |
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90 | end; |
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91 | info = [info 'real']; |
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92 | else |
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93 | if issymmetric(X) |
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94 | info = ' (symmetric, '; |
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95 | elseif ishermitian(X) |
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96 | info = ' (hermitian, '; |
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97 | else |
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98 | info = ' (full, '; |
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99 | end; |
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100 | info = [info 'complex']; |
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101 | end; |
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102 | |
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103 | if is(X,'compound') |
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104 | info = [info ', derived']; |
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105 | end |
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106 | |
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107 | if X.typeflag==9 |
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108 | info = [info ', KYP']; |
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109 | end |
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110 | if any(ismember(depends(X),yalmip('intvariables'))) |
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111 | info = [info ', integer']; |
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112 | else |
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113 | if any(ismember(depends(X),yalmip('binvariables'))) |
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114 | info = [info ', binary']; |
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115 | else |
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116 | if any(ismember(depends(X),yalmip('uncvariables'))) |
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117 | info = [info ', uncertain']; |
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118 | end |
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119 | end |
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120 | end |
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121 | if any(ismember(depends(X),yalmip('parvariables'))) |
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122 | info = [info ', parametric']; |
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123 | end |
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124 | |
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125 | xvars = depends(X); |
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126 | nvars = length(xvars); |
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127 | if nvars == 1 |
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128 | info = [info ', ' num2str(nvars) ' variable']; |
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129 | else |
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130 | info = [info ', ' num2str(nvars) ' variables']; |
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131 | end |
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132 | |
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133 | n = X.dim(1); |
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134 | m = X.dim(2); |
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135 | |
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136 | if (n<100) & (n==m) |
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137 | x = recover(xvars); |
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138 | if ~any(any(isnan(double(x)))) |
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139 | doubleX = double(X); |
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140 | try |
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141 | eigX = eig(doubleX); |
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142 | info = [info ', eigenvalues between [' num2str(min(eigX)) ',' num2str(max(eigX)) ']']; |
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143 | catch |
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144 | end |
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145 | end |
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146 | elseif n~=m |
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147 | x = recover(xvars); |
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148 | if ~any(any(isnan(double(x)))) |
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149 | doubleX = double(X); |
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150 | try |
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151 | info = [info ', values in range [' num2str(min(min(doubleX))) ',' num2str(max(max(doubleX))) ']']; |
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152 | catch |
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153 | end |
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154 | end |
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155 | end |
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156 | |
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157 | info = [info ')']; |
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158 | disp([classification num2str(n) 'x' num2str(m) info]); |
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159 | end; |
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160 | case 1 |
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161 | disp('Relational object'); |
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162 | case 3 |
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163 | disp('Relational object'); |
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164 | case 4 |
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165 | disp('Relational object'); |
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166 | case 5 |
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167 | disp('Cone object'); |
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168 | case 6 |
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169 | disp('logdet object'); |
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170 | case 7 |
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171 | disp('Integrality constraint'); |
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172 | case 10 |
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173 | disp('Eigenvalue object'); |
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174 | case 11 |
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175 | disp('SOS object'); |
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176 | otherwise |
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177 | end |
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