1 | /// \ingroup newmat
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2 | ///@{
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3 |
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4 | /// \file jacobi.cpp
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5 | /// Eigen value decomposition using Jacobi method.
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6 |
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7 |
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8 | // Copyright (C) 1991,2,3,4: R B Davies
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9 |
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10 |
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11 | //#define WANT_STREAM
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12 |
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13 |
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14 | #define WANT_MATH
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15 |
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16 | #include "include.h"
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17 | #include "newmatap.h"
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18 | #include "precisio.h"
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19 | #include "newmatrm.h"
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20 |
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21 | #ifdef use_namespace
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22 | namespace NEWMAT {
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23 | #endif
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24 |
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25 | #ifdef DO_REPORT
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26 | #define REPORT { static ExeCounter ExeCount(__LINE__,18); ++ExeCount; }
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27 | #else
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28 | #define REPORT {}
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29 | #endif
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30 |
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31 |
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32 | void Jacobi(const SymmetricMatrix& X, DiagonalMatrix& D, SymmetricMatrix& A,
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33 | Matrix& V, bool eivec)
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34 | {
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35 | Real epsilon = FloatingPointPrecision::Epsilon();
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36 | Tracer et("Jacobi");
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37 | REPORT
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38 | int n = X.Nrows(); DiagonalMatrix B(n), Z(n); D.resize(n); A = X;
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39 | if (eivec) { REPORT V.resize(n,n); D = 1.0; V = D; }
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40 | B << A; D = B; Z = 0.0; A.Inject(Z);
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41 | bool converged = false;
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42 | for (int i=1; i<=50; i++)
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43 | {
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44 | Real sm=0.0; Real* a = A.Store(); int p = A.Storage();
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45 | while (p--) sm += fabs(*a++); // have previously zeroed diags
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46 | if (sm==0.0) { REPORT converged = true; break; }
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47 | Real tresh = (i<4) ? 0.2 * sm / square(n) : 0.0; a = A.Store();
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48 | for (p = 0; p < n; p++)
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49 | {
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50 | Real* ap1 = a + (p*(p+1))/2;
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51 | Real& zp = Z.element(p); Real& dp = D.element(p);
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52 | for (int q = p+1; q < n; q++)
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53 | {
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54 | Real* ap = ap1; Real* aq = a + (q*(q+1))/2;
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55 | Real& zq = Z.element(q); Real& dq = D.element(q);
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56 | Real& apq = A.element(q,p);
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57 | Real g = 100 * fabs(apq); Real adp = fabs(dp); Real adq = fabs(dq);
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58 |
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59 | if (i>4 && g < epsilon*adp && g < epsilon*adq) { REPORT apq = 0.0; }
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60 | else if (fabs(apq) > tresh)
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61 | {
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62 | REPORT
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63 | Real t; Real h = dq - dp; Real ah = fabs(h);
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64 | if (g < epsilon*ah) { REPORT t = apq / h; }
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65 | else
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66 | {
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67 | REPORT
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68 | Real theta = 0.5 * h / apq;
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69 | t = 1.0 / ( fabs(theta) + sqrt(1.0 + square(theta)) );
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70 | if (theta<0.0) { REPORT t = -t; }
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71 | }
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72 | Real c = 1.0 / sqrt(1.0 + square(t)); Real s = t * c;
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73 | Real tau = s / (1.0 + c); h = t * apq;
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74 | zp -= h; zq += h; dp -= h; dq += h; apq = 0.0;
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75 | int j = p;
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76 | while (j--)
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77 | {
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78 | g = *ap; h = *aq;
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79 | *ap++ = g-s*(h+g*tau); *aq++ = h+s*(g-h*tau);
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80 | }
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81 | int ip = p+1; j = q-ip; ap += ip++; aq++;
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82 | while (j--)
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83 | {
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84 | g = *ap; h = *aq;
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85 | *ap = g-s*(h+g*tau); *aq++ = h+s*(g-h*tau);
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86 | ap += ip++;
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87 | }
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88 | if (q < n-1) // last loop is non-empty
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89 | {
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90 | int iq = q+1; j = n-iq; ap += ip++; aq += iq++;
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91 | for (;;)
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92 | {
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93 | g = *ap; h = *aq;
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94 | *ap = g-s*(h+g*tau); *aq = h+s*(g-h*tau);
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95 | if (!(--j)) break;
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96 | ap += ip++; aq += iq++;
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97 | }
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98 | }
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99 | if (eivec)
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100 | {
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101 | REPORT
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102 | RectMatrixCol VP(V,p); RectMatrixCol VQ(V,q);
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103 | Rotate(VP, VQ, tau, s);
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104 | }
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105 | }
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106 | }
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107 | }
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108 | B = B + Z; D = B; Z = 0.0;
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109 | }
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110 | if (!converged) Throw(ConvergenceException(X));
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111 | if (eivec) SortSV(D, V, true);
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112 | else SortAscending(D);
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113 | }
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114 |
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115 | void Jacobi(const SymmetricMatrix& X, DiagonalMatrix& D)
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116 | { REPORT SymmetricMatrix A; Matrix V; Jacobi(X,D,A,V,false); }
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117 |
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118 | void Jacobi(const SymmetricMatrix& X, DiagonalMatrix& D, SymmetricMatrix& A)
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119 | { REPORT Matrix V; Jacobi(X,D,A,V,false); }
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120 |
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121 | void Jacobi(const SymmetricMatrix& X, DiagonalMatrix& D, Matrix& V)
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122 | { REPORT SymmetricMatrix A; Jacobi(X,D,A,V,true); }
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123 |
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124 |
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125 | #ifdef use_namespace
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126 | }
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127 | #endif
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128 |
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129 |
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130 | ///@}
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