1 | |
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2 | #ifndef QUADRATICMINIMALIZATOR_H |
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3 | #define QUADRATICMINIMALIZATOR_H |
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4 | |
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5 | #include <cstdlib> |
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6 | #include <itpp/itbase.h> |
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7 | #include <iostream> |
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8 | |
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9 | |
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10 | using namespace itpp; |
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11 | using namespace std; |
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12 | |
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13 | class QuadraticMinimalizator { |
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14 | protected: |
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15 | mat A; |
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16 | mat B; |
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17 | mat Q; |
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18 | mat R; |
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19 | double maxdif; |
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20 | |
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21 | bool test() { |
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22 | if ( !isDiagonal(Q) ) { |
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23 | stringstream e; |
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24 | e << "Matrix Q is not diagonal" << endl; |
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25 | e << Q << endl; |
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26 | it_warning(e.str()); |
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27 | return false; |
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28 | } |
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29 | if ( !isDiagonal(R) ) { |
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30 | stringstream e; |
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31 | e << "Matrix R is not diagonal" << endl; |
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32 | e << R << endl; |
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33 | it_warning(e.str()); |
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34 | return false; |
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35 | } |
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36 | if ( !isPositiveDefinite(Q) ) { |
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37 | stringstream e; |
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38 | e << "Matrix Q is not positive definite" << endl; |
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39 | e << Q << endl; |
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40 | it_warning(e.str()); |
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41 | return false; |
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42 | } |
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43 | if ( !isPositiveDefinite(R) ) { |
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44 | stringstream e; |
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45 | e << "Matrix R is not positive definite" << endl; |
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46 | e << R << endl; |
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47 | it_warning(e.str()); |
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48 | return false; |
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49 | } |
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50 | return true; |
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51 | } |
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52 | |
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53 | public: |
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54 | QuadraticMinimalizator( const mat &A, const mat &B, const mat &Q, const mat &R ) { |
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55 | maxdif = 0.00000001; |
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56 | this->A = A; |
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57 | this->B = B; |
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58 | this->Q = Q; |
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59 | this->R = R; |
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60 | test(); |
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61 | } |
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62 | |
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63 | /** |
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64 | * x(t+1) = Ax(t) + Bu(t) |
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65 | * @param horizont |
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66 | * @param C |
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67 | * @return L: u(t) = Lx(t) |
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68 | */ |
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69 | mat L( const int horizont ) { |
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70 | int xdim = A.cols(); |
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71 | int udim = B.cols(); |
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72 | mat sqQ = sqrt(Q); |
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73 | mat sqR = sqrt(R); |
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74 | mat M0, M; |
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75 | mat qrQ; |
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76 | mat Lall, Ls, Lx, Lu, L; |
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77 | M0 = concat_vertical( |
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78 | concat_horizontal( sqQ * B, sqQ * A ), |
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79 | concat_horizontal( sqR, zeros( udim, xdim ) ) |
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80 | ); |
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81 | M = M0; |
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82 | for (int h = horizont; h >= 0; h --) { |
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83 | qr(M, Lall); |
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84 | Lu = Lall(0, udim-1, 0, udim-1); |
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85 | Lx = Lall(udim, udim+xdim-1, udim, udim+xdim-1); |
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86 | Ls = Lall(0, udim-1, udim, udim+xdim-1); |
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87 | M = concat_vertical( |
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88 | M0, |
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89 | concat_horizontal(Lx * B, Lx * A ) |
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90 | ); |
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91 | } |
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92 | L = - inv(Lu) * Ls; |
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93 | return L; |
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94 | } |
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95 | |
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96 | /* |
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97 | double maxDif( const mat & M1, const mat & M2 ) { |
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98 | return max(max(abs(M1 - M2), 1)); |
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99 | } |
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100 | |
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101 | bool isSymmetric( const mat & M) { |
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102 | return isSymmetric(M, maxdif); |
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103 | } |
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104 | |
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105 | bool isSymmetric( const mat & M, double maxdif ) { |
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106 | mat D = abs(M - M.transpose()); |
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107 | double m = max(max(D, 1)); |
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108 | if ( m < maxdif ) |
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109 | return true; |
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110 | else |
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111 | return false; |
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112 | } |
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113 | */ |
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114 | bool isDiagonal( const mat M ) { |
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115 | mat D = abs(M); |
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116 | for ( int i = 0; i < M.rows(); i ++ ) { |
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117 | for ( int j = 0; j < M.cols(); j ++ ) { |
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118 | if ( i != j && D(i,j) > maxdif ) { |
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119 | return false; |
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120 | } |
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121 | } |
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122 | } |
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123 | return true; |
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124 | } |
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125 | |
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126 | |
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127 | bool isPositiveDefinite( const mat M ) { |
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128 | int dim = M.rows(); |
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129 | if ( dim != M.cols() ) { |
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130 | stringstream err; |
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131 | err << "Matrix " << M << " is not square"; |
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132 | it_warning(err.str()); |
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133 | } else { |
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134 | for ( int i = dim-1; i >= 0; i-- ) { |
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135 | // subdeterminanty |
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136 | if ( det(M(0,i,0,i)) <= 0 ) { |
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137 | return false; |
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138 | } |
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139 | } |
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140 | return true; |
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141 | } |
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142 | return false; |
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143 | } |
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144 | |
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145 | |
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146 | |
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147 | |
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148 | }; |
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149 | |
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150 | #endif /* QUADRATICMINIMALIZATOR_H */ |
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