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- //$$jacobi.cxx jacobi eigenvalue analysis
-
- // Copyright (C) 1991: R B Davies and DSIR
-
- #define WANT_MATH
-
- #include "include.hxx"
- #include "newmat.hxx"
- #include "precisio.hxx"
- #include "newmatrm.hxx"
-
-
-
- void Jacobi(const SymmetricMatrix& X, DiagonalMatrix& D, SymmetricMatrix& A,
- Matrix& V, BOOL eivec)
- {
- int n = X.Nrows(); DiagonalMatrix B(n), Z(n); D.ReDimension(n); A = X.c();
- if (eivec) { V.ReDimension(n,n); D = 1.0; V = D; }
- B << A; D = B; Z = 0.0; A.Inject(Z);
- for (int i=1; i<=50; i++)
- {
- real sm=0.0; real* a = A.Store(); int p = A.Storage();
- while (p--) sm += fabs(*a++); // have previously zeroed diags
- if (sm==0.0) return;
- real tresh = (i<4) ? 0.2 * sm / square(n) : 0.0; a = A.Store();
- for (p = 0; p < n; p++)
- {
- real* ap1 = a + (p*(p+1))/2;
- real& zp = Z.element(p); real& dp = D.element(p);
- for (int q = p+1; q < n; q++)
- {
- real* ap = ap1; real* aq = a + (q*(q+1))/2;
- real& zq = Z.element(q); real& dq = D.element(q);
- real& apq = A.element(q,p);
- real g = 100 * fabs(apq); real adp = fabs(dp); real adq = fabs(dq);
- if (i>4 && adp+g==adp && adq+g==adq) apq = 0.0;
- else if (fabs(apq) > tresh)
- {
- real t; real h = dq - dp; real ah = fabs(h);
- if (ah+g==ah) t = apq / h;
- else
- {
- real theta = 0.5 * h / apq;
- t = 1.0 / ( fabs(theta) + sqrt(1.0 + square(theta)) );
- if (theta<0.0) t = -t;
- }
- real c = 1.0 / sqrt(1.0 + square(t)); real s = t * c;
- real tau = s / (1.0 + c); h = t * apq;
- zp -= h; zq += h; dp -= h; dq += h; apq = 0.0;
- int j = p;
- while (j--)
- {
- g = *ap; h = *aq;
- *ap++ = g-s*(h+g*tau); *aq++ = h+s*(g-h*tau);
- }
- int ip = p+1; j = q-ip; ap += ip++; aq++;
- while (j--)
- {
- g = *ap; h = *aq;
- *ap = g-s*(h+g*tau); *aq++ = h+s*(g-h*tau);
- ap += ip++;
- }
- int iq = q+1; j = n-iq; ap += ip++; aq += iq++;
- while (j--)
- {
- g = *ap; h = *aq;
- *ap = g-s*(h+g*tau); *aq = h+s*(g-h*tau);
- ap += ip++; aq += iq++;
- }
- if (eivec)
- {
- RectMatrixCol VP(V,p); RectMatrixCol VQ(V,q);
- Rotate(VP, VQ, tau, s);
- }
- }
- }
- }
- B = B + Z; D = B; Z = 0.0;
- }
- }
-
- void Jacobi(const SymmetricMatrix& X, DiagonalMatrix& D)
- { SymmetricMatrix A; Matrix V; Jacobi(X,D,A,V,FALSE); }
-
- void Jacobi(const SymmetricMatrix& X, DiagonalMatrix& D, SymmetricMatrix& A)
- { Matrix V; Jacobi(X,D,A,V,FALSE); }
-
- void Jacobi(const SymmetricMatrix& X, DiagonalMatrix& D, Matrix& V)
- { SymmetricMatrix A; Jacobi(X,D,A,V,TRUE); }
-
-
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