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