| 1 | SUBROUTINE FELLIPSE(NMAX,X,Y,BB,TAU,RNORM) |
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| 2 | |
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| 3 | Cf2py intent(in) NMAX |
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| 4 | Cf2py intent(in) X,Y |
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| 5 | Cf2py intent(in) Y |
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| 6 | Cf2py depend(NMAX) X,Y |
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| 7 | Cf2py intent(in) TAU |
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| 8 | Cf2py intent(out) BB |
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| 9 | Cf2py intent(out) RNORM |
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| 10 | |
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| 11 | C |
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| 12 | C NMAX is the number of data points |
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| 13 | C A, B : work arrays |
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| 14 | C X, Y : data points coordinates |
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| 15 | C |
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| 16 | C Daniel Pfenniger, Geneva Observatory, 6/1991 |
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| 17 | C |
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| 18 | C |
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| 19 | REAL*8 X(NMAX),Y(NMAX) |
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| 20 | REAL*4 A(5,NMAX),B(NMAX),BB(0:4),TAU |
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| 21 | INTEGER*4 KRANK,NMAX |
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| 22 | REAL*4 RNORM |
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| 23 | C |
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| 24 | C |
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| 25 | C |
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| 26 | CALL FITQDR(NMAX,NMAX,A,B,X,Y,TAU,KRANK,RNORM) |
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| 27 | |
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| 28 | C Coefficients of the quadratic form |
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| 29 | C |
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| 30 | BB(0) = B(1) |
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| 31 | BB(1) = B(2) |
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| 32 | BB(2) = B(3) |
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| 33 | BB(3) = B(4) |
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| 34 | BB(4) = B(5) |
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| 35 | C |
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| 36 | RETURN |
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| 37 | END |
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| 38 | C----------------------------------------------------------------------- |
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| 39 | C |
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| 40 | SUBROUTINE FITQDR(N,NMAX,A,B,X,Y,TAU,KRANK,RNORM) |
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| 41 | C |
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| 42 | C Fortran subroutine using the linear least squares routine HFTI |
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| 43 | C finding the parameters a, c, d, e, f defining the best |
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| 44 | C quadratic form |
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| 45 | C |
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| 46 | C (1+a) X^2 + (1-a) Y^2 + c X Y + d X + e Y + f = 0 |
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| 47 | C |
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| 48 | C passing through a set of data points {Xi,Yi} i=1,..N |
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| 49 | C The result is invariant by rotation and translation. |
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| 50 | C If N<6, this program finds an exact solution passing through the |
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| 51 | C points |
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| 52 | C If N>5, it finds the quadratic form which minimizes |
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| 53 | C |
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| 54 | C SUM(i=1,N) [ (1+a)X^2 + (1-a)Y^2 + c X Y + d X + e Y + f ]^2 |
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| 55 | C |
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| 56 | C N : Actual number of data points |
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| 57 | C NMAX : Maximum number of data points |
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| 58 | C NPAR : Number of parameters to find (5) |
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| 59 | C A, B : Work arrays |
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| 60 | C X, Y : Data point coordinates |
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| 61 | C KRANK : Rank of the data matrix A (should be 5) |
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| 62 | C RNORM : Norm of the residual |
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| 63 | C |
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| 64 | C TAU : tolerance for a zero in HFTI |
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| 65 | C |
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| 66 | C On outpout a,c,d,e,f are in B(1),B(2), ... B(5) respectively |
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| 67 | C |
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| 68 | C Daniel Pfenniger, Geneva Observatory, 6/1991 |
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| 69 | C |
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| 70 | PARAMETER (NPAR=5) |
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| 71 | C |
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| 72 | INTEGER*4 NMAX,KRANK |
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| 73 | REAL*4 A(NMAX,NPAR), B(NMAX),TAU, RNORM |
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| 74 | REAL*8 X(NMAX), Y(NMAX) |
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| 75 | C |
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| 76 | C H, G, IP : Work arrays for HFTI |
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| 77 | C |
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| 78 | INTEGER*4 H(NPAR), IP(NPAR),I,N |
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| 79 | REAL*4 G(NPAR) |
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| 80 | C |
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| 81 | C Building the matrices A and B |
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| 82 | C |
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| 83 | DO 10 I = 1, N |
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| 84 | A(I,1) = X(I)**2-Y(I)**2 |
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| 85 | A(I,2) = X(I)*Y(I) |
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| 86 | A(I,3) = X(I) |
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| 87 | A(I,4) = Y(I) |
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| 88 | A(I,5) = 1. |
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| 89 | 10 B(I) = -(X(I)**2+Y(I)**2) |
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| 90 | C |
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| 91 | C Solving the LS problem: ||A Z - B|| minimum |
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| 92 | C Call HFTI, the result Z is in the first NPAR rows of B |
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| 93 | C TAU is the tolerance for zero |
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| 94 | C KRANK is the rank of A (should be NPAR) |
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| 95 | C RNORM is the norm of the residual |
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| 96 | C See Lawson & Hanson (1974) for detail |
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| 97 | CALL HFTI(A,NMAX,N,NPAR,B,NMAX,1,TAU,KRANK,RNORM,H,G,IP) |
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| 98 | C |
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| 99 | RETURN |
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| 100 | END |
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| 101 | |
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| 102 | C Some LSQ routines from Lawson & Hanson |
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| 103 | C |
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| 104 | SUBROUTINE HFTI (A,MDA,M,N,B,MDB,NB,TAU,KRANK,RNORM,H,G,IP) |
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| 105 | C C.L.LAWSON & R.J.HANSON, JET PROPULSION LABORATORY, 1973 JUN 12 |
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| 106 | C TO APPEAR IN 'SOLVING LEAST SQUARES PROBLEMS', PRENTICE-HALL 1974 |
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| 107 | C SOLVE LEAST SQUARES PROBLEM USING ALGORITHM HFTI. |
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| 108 | C |
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| 109 | INTEGER*4 MDA,M,N,MDB,NB,KRANK,H |
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| 110 | REAL*4 A,B,TAU,RNORM,G |
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| 111 | DIMENSION A(MDA,N),B(MDB,NB),H(N),G(N),RNORM(NB) |
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| 112 | INTEGER IP(N) |
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| 113 | DOUBLE PRECISION SM,DZERO |
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| 114 | PARAMETER (SZERO=0., DZERO=0.D0, FACTOR = 0.001 ) |
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| 115 | C |
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| 116 | K = 0 |
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| 117 | LDIAG = MIN0(M,N) |
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| 118 | IF (LDIAG.LE.0) GOTO 270 |
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| 119 | DO 80 J=1,LDIAG |
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| 120 | IF (J.EQ.1) GOTO 20 |
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| 121 | C |
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| 122 | C UPDATE SQUARED COLUMN LENGTHS AND FIND LMAX |
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| 123 | C |
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| 124 | LMAX = J |
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| 125 | DO 10 L = J,N |
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| 126 | H(L) = H(L) - A(J-1,L)**2 |
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| 127 | IF (H(L).GT.H(LMAX)) LMAX = L |
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| 128 | 10 CONTINUE |
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| 129 | IF (DIFF(HMAX+FACTOR*H(LMAX),HMAX)) 20,20,50 |
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| 130 | C |
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| 131 | C COMPUTE SQUARED COLUMN LENGTHS AND FIND LMAX |
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| 132 | C |
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| 133 | 20 LMAX = J |
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| 134 | DO 40 L = J,N |
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| 135 | H(L) = SZERO |
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| 136 | DO 30 I = J,M |
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| 137 | 30 H(L) = H(L) + A(I,L)**2 |
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| 138 | IF (H(L).GT.H(LMAX)) LMAX = L |
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| 139 | 40 CONTINUE |
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| 140 | HMAX = H(LMAX) |
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| 141 | C |
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| 142 | C LMAX HAS BEEN DETERMINED |
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| 143 | C |
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| 144 | C DO COLUMN INTERCHANGES IF NEEDED. |
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| 145 | C |
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| 146 | 50 CONTINUE |
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| 147 | IP(J) = LMAX |
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| 148 | IF (IP(J).EQ.J) GOTO 70 |
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| 149 | DO 60 I = 1,M |
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| 150 | TMP = A(I,J) |
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| 151 | A(I,J) = A(I,LMAX) |
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| 152 | 60 A(I,LMAX) = TMP |
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| 153 | H(LMAX) = H(J) |
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| 154 | C |
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| 155 | C COMPUTE THE J-TH TRANSFORMATION AND APPLY IT TO A AND B. |
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| 156 | C |
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| 157 | 70 CALL H12 (1,J,J+1,M,A(1,J),1,H(J),A(1,J+1),1,MDA,N-J) |
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| 158 | 80 CALL H12 (2,J,J+1,M,A(1,J),1,H(J),B,1,MDB,NB) |
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| 159 | C |
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| 160 | C DETERMINE THE PSEUDORANK, K, USING THE TOLERANCE, TAU. |
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| 161 | C |
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| 162 | DO 90 J = 1,LDIAG |
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| 163 | IF (ABS(A(J,J)).LE.TAU) GOTO 100 |
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| 164 | 90 CONTINUE |
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| 165 | K = LDIAG |
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| 166 | GOTO 110 |
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| 167 | 100 K = J - 1 |
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| 168 | 110 KP1 = K + 1 |
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| 169 | C |
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| 170 | C COMPUTE THE NORMS OF THE RESIDUAL VECTORS. |
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| 171 | C |
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| 172 | IF (NB.LE.0) GOTO 140 |
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| 173 | DO 130 JB = 1,NB |
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| 174 | TMP = SZERO |
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| 175 | IF (KP1.GT.M) GOTO 130 |
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| 176 | DO 120 I = KP1,M |
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| 177 | 120 TMP = TMP + B(I,JB)**2 |
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| 178 | 130 RNORM(JB) = SQRT(TMP) |
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| 179 | 140 CONTINUE |
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| 180 | C SPECIAL FOR PSEUDORANK = 0 |
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| 181 | IF (K.GT.0) GOTO 160 |
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| 182 | IF (NB.LE.0) GOTO 270 |
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| 183 | DO 150 JB = 1,NB |
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| 184 | DO 150 I = 1,N |
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| 185 | 150 B(I,JB) = SZERO |
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| 186 | GOTO 270 |
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| 187 | C |
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| 188 | C IF THE PSEUDORANK IS LESS THAN N COMPUTE HOUSHOLDER |
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| 189 | C DECOMPOSITION OF FIRST K ROWS. |
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| 190 | C |
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| 191 | 160 IF (K.EQ.N) GOTO 180 |
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| 192 | DO 170 II = 1,K |
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| 193 | I = KP1 - II |
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| 194 | 170 CALL H12 (1,I,KP1,N,A(I,1),MDA,G(I),A,MDA,1,I-1) |
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| 195 | 180 CONTINUE |
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| 196 | C |
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| 197 | C |
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| 198 | IF (NB.LE.0) GOTO 270 |
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| 199 | DO 260 JB = 1,NB |
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| 200 | C |
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| 201 | C SOLVE THE K BY K TRIANGULAR SYSTEM |
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| 202 | C |
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| 203 | DO 210 L = 1,K |
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| 204 | SM = DZERO |
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| 205 | I = KP1 - L |
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| 206 | IF (I.EQ.K) GOTO 200 |
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| 207 | IP1 = I + 1 |
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| 208 | DO 190 J = IP1,K |
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| 209 | 190 SM = SM + A(I,J)*DBLE(B(J,JB)) |
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| 210 | 200 SM1 = SM |
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| 211 | 210 B(I,JB) = (B(I,JB)-SM1)/A(I,I) |
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| 212 | C |
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| 213 | IF (K.EQ.N) GOTO 240 |
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| 214 | DO 220 J = KP1,N |
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| 215 | 220 B(J,JB) = SZERO |
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| 216 | DO 230 I = 1,K |
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| 217 | 230 CALL H12 (2,I,KP1,N,A(I,1),MDA,G(I),B(1,JB),1,MDB,1) |
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| 218 | C |
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| 219 | C RE-ORDER THE SOLUTION VECTOR TO COMPENSATE FOR THE |
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| 220 | C COLUMN INTERCHANGES. |
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| 221 | C |
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| 222 | C COMPLETE COMPUTATION OF SOLUTION VECTOR |
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| 223 | C |
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| 224 | 240 DO 250 JJ = 1,LDIAG |
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| 225 | J = LDIAG + 1 - JJ |
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| 226 | IF (IP(J).EQ.J) GOTO 250 |
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| 227 | L = IP(J) |
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| 228 | TMP = B(L,JB) |
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| 229 | B(L,JB) = B(J,JB) |
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| 230 | B(J,JB) = TMP |
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| 231 | 250 CONTINUE |
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| 232 | 260 CONTINUE |
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| 233 | C |
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| 234 | C THE SOLUTION VECTORS, X, ARE NOW |
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| 235 | C IN THE FIRST N ROWS OF THE ARRAY B(.). |
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| 236 | C |
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| 237 | 270 KRANK = K |
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| 238 | RETURN |
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| 239 | END |
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| 240 | C----------------------------------------------------------------------- |
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| 241 | C |
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| 242 | C SUBROUTINE H12 (MODE,LPIVOT,L1,M,U,IUE,UP,C,ICE,ICV,NCV) |
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| 243 | C C.L.LAWSON & R.J.HANSON, JET PROPULSION LABORATORY, 1973 JUN 12 |
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| 244 | C TO APPEAR IN 'SOLVING LEAST SQUARES PROBLEMS', PRENTICE-HALL, 1974 |
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| 245 | C |
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| 246 | C CONSTRUCTION AND/OR APPLICATION OF A SINGLE |
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| 247 | C HOUSHOLDER TRANSFORMATION: Q = I + U*(U**T)/B |
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| 248 | C |
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| 249 | C MODE = 1 OR 2 TO SELECT ALGORITHM H1 OR H2 |
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| 250 | C LPIVOT IS THE INDEX OF THE PIVOT ELEMENT. |
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| 251 | C L1,M IF L1 .LE. M THE TRANSFORMATION WILL BE CONSTRUCTED TO |
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| 252 | C ZERO ELEMENTS INDEXED FROM L1 THROUGH M. IF L1 .GT. M |
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| 253 | C THE SUBROUTINE DOES AN IDENTITY TRANSFORMATION. |
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| 254 | C U(),IUE,UP ON ENTRY TO H1 U() CONTAINS THE PIVOT VECTOR. |
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| 255 | C IUE IS THE STORAGE INCREMENT BETWEEN ELEMENTS. |
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| 256 | C ON EXIT FROM H1 U() AND UP |
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| 257 | C CONTAIN QUANTITES DEFINING THE VECTOR U OF THE |
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| 258 | C HOUSHOLDER TRANSFORMATION. ON ENTRY TO H2 U() |
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| 259 | C AND UP SHOULD CONTAIN QUATITIES PREVIOUSLY COMPUTED |
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| 260 | C BY H1. THESE WILL NOT BE MODIFIED BY H2. |
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| 261 | C C() ON ENTRY TO H1 OR H2 C() CONTAINS A MATRIX WHICH WILL BE |
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| 262 | C REGARDED AS A SET OF VECTORS TO WHICH THE HOUSHOLDER |
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| 263 | C TRANSFORMATION IS TO BE APPLIED. ON EXIT C() CONTAINS THE |
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| 264 | C SET OF TRANSFORMED VECTORS. |
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| 265 | C ICE STORAGE INCREMENT BETWEEN ELEMENTS OF VECTORS IN C(). |
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| 266 | C ICV STORAGE INCREMENT BETWEEN VECTORS IN C(). |
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| 267 | C NCV NUMBER OF VECTORS IN C() TO BE TRANSFORMED. IF NCV .LE. 0 |
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| 268 | C NO OPERATIONS WILL BE DONE ON C(). |
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| 269 | C |
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| 270 | SUBROUTINE H12 (MODE,LPIVOT,L1,M,U,IUE,UP,C,ICE,ICV,NCV) |
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| 271 | INTEGER*4 MODE,LPIVOT,L1,M,IUE,ICE,ICV,NCV |
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| 272 | REAL*4 U,UP,C,X,Y |
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| 273 | DIMENSION U(IUE,M),C(*) |
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| 274 | DOUBLE PRECISION SM,B |
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| 275 | PARAMETER (ONE = 1.) |
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| 276 | C |
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| 277 | IF (0.GE.LPIVOT.OR.LPIVOT.GE.L1.OR.L1.GT.M) RETURN |
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| 278 | CL = ABS(U(1,LPIVOT)) |
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| 279 | IF (MODE.EQ.2) GOTO 60 |
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| 280 | C *** CONSTRUCT THE TRANSFORMATION *** |
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| 281 | DO 10 J = L1,M |
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| 282 | 10 CL = AMAX1(ABS(U(1,J)),CL) |
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| 283 | IF (CL) 130,130,20 |
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| 284 | 20 CLINV = ONE/CL |
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| 285 | SM = (DBLE(U(1,LPIVOT))*CLINV)**2 |
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| 286 | DO 30 J = L1,M |
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| 287 | 30 SM = SM + (DBLE(U(1,J))*CLINV)**2 |
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| 288 | C CONVERT DBLE PREC SM TO SNGL. PREC. SM1 |
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| 289 | SM1 = SM |
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| 290 | CL = CL*SQRT(SM1) |
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| 291 | IF (U(1,LPIVOT)) 50,50,40 |
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| 292 | 40 CL = -CL |
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| 293 | 50 UP = U(1,LPIVOT) - CL |
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| 294 | U(1,LPIVOT) = CL |
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| 295 | GOTO 70 |
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| 296 | C *** APPLY THE TRANSFORMATION I + U*(U**T)*B TO C *** |
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| 297 | C |
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| 298 | 60 IF (CL) 130,130,70 |
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| 299 | 70 IF (NCV.LE.0) RETURN |
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| 300 | B = DBLE(UP)*U(1,LPIVOT) |
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| 301 | C B MUST BE NONPOSITIVE HERE. IF B=0.,RETURN |
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| 302 | C |
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| 303 | IF (B) 80,130,130 |
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| 304 | 80 B = ONE/B |
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| 305 | I2 = 1 - ICV + ICE*(LPIVOT-1) |
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| 306 | INCR = ICE*(L1-LPIVOT) |
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| 307 | DO 120 J = 1,NCV |
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| 308 | I2 = I2 +ICV |
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| 309 | I3 = I2 + INCR |
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| 310 | I4 = I3 |
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| 311 | SM = C(I2)*DBLE(UP) |
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| 312 | DO 90 I = L1,M |
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| 313 | SM = SM + C(I3)*DBLE(U(1,I)) |
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| 314 | 90 I3 = I3 + ICE |
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| 315 | IF (SM) 100,120,100 |
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| 316 | 100 SM = SM*B |
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| 317 | C(I2) = C(I2) + SM*DBLE(UP) |
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| 318 | DO 110 I = L1,M |
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| 319 | C(I4) = C(I4) + SM*DBLE(U(1,I)) |
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| 320 | 110 I4 = I4 + ICE |
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| 321 | 120 CONTINUE |
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| 322 | 130 RETURN |
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| 323 | END |
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| 324 | C--------------------------- this routine is not a joke! |
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| 325 | C |
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| 326 | FUNCTION DIFF(X,Y) |
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| 327 | C C.L.LAWSON & R.J.HANSON, JET PROPULSION LABORATORY, 1973 JUNE 7 |
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| 328 | C TO APPEAR IN 'SOLVING LEAST SQUARES PROBLEMS', PRENTICE-HALL, 1974 |
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| 329 | REAL X,Y |
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| 330 | DIFF = X-Y |
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| 331 | RETURN |
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| 332 | END |
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