📄 jacobi.cpp
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//$$jacobi.cpp jacobi eigenvalue analysis// Copyright (C) 1991,2,3,4: R B Davies//#define WANT_STREAM#define WANT_MATH#include "include.h"#include "newmat.h"#include "precisio.h"#include "newmatrm.h"#ifdef use_namespacenamespace NEWMAT {#endifvoid Jacobi(const SymmetricMatrix& X, DiagonalMatrix& D, SymmetricMatrix& A, Matrix& V, bool eivec){ Real epsilon = FloatingPointPrecision::Epsilon(); Tracer et("Jacobi"); int n = X.Nrows(); DiagonalMatrix B(n), Z(n); D.ReSize(n); A = X; if (eivec) { V.ReSize(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 && g < epsilon*adp && g < epsilon*adq) apq = 0.0; else if (fabs(apq) > tresh) { Real t; Real h = dq - dp; Real ah = fabs(h); if (g < epsilon*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++; } if (q < n-1) // last loop is non-empty { int iq = q+1; j = n-iq; ap += ip++; aq += iq++; for (;;) { g = *ap; h = *aq; *ap = g-s*(h+g*tau); *aq = h+s*(g-h*tau); if (!(--j)) break; 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; } Throw(ConvergenceException(X));}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); }#ifdef use_namespace}#endif
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