This repository has been archived on 2023-10-09. You can view files and clone it. You cannot open issues or pull requests or push a commit.
Files
blender-archive/source/blender/freestyle/intern/geometry/matrix_util.cpp

266 lines
8.4 KiB
C++
Executable File

/*
* GXML/Graphite: Geometry and Graphics Programming Library + Utilities
* Copyright (C) 2000 Bruno Levy
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*
* If you modify this software, you should include a notice giving the
* name of the person performing the modification, the date of modification,
* and the reason for such modification.
*
* Contact: Bruno Levy
*
* levy@loria.fr
*
* ISA Project
* LORIA, INRIA Lorraine,
* Campus Scientifique, BP 239
* 54506 VANDOEUVRE LES NANCY CEDEX
* FRANCE
*
* Note that the GNU General Public License does not permit incorporating
* the Software into proprietary programs.
*/
#include "matrix_util.h"
#include <math.h>
namespace OGF {
namespace MatrixUtil {
static const double EPS = 0.00001 ;
static int MAX_ITER = 100 ;
void semi_definite_symmetric_eigen(
const double *mat, int n, double *eigen_vec, double *eigen_val
) {
double *a,*v;
double a_norm,a_normEPS,thr,thr_nn;
int nb_iter = 0;
int jj;
int i,j,k,ij,ik,l,m,lm,mq,lq,ll,mm,imv,im,iq,ilv,il,nn;
int *index;
double a_ij,a_lm,a_ll,a_mm,a_im,a_il;
double a_lm_2;
double v_ilv,v_imv;
double x;
double sinx,sinx_2,cosx,cosx_2,sincos;
double delta;
// Number of entries in mat
nn = (n*(n+1))/2;
// Step 1: Copy mat to a
a = new double[nn];
for( ij=0; ij<nn; ij++ ) {
a[ij] = mat[ij];
}
// Ugly Fortran-porting trick: indices for a are between 1 and n
a--;
// Step 2 : Init diagonalization matrix as the unit matrix
v = new double[n*n];
ij = 0;
for( i=0; i<n; i++ ) {
for( j=0; j<n; j++ ) {
if( i==j ) {
v[ij++] = 1.0;
} else {
v[ij++] = 0.0;
}
}
}
// Ugly Fortran-porting trick: indices for v are between 1 and n
v--;
// Step 3 : compute the weight of the non diagonal terms
ij = 1 ;
a_norm = 0.0;
for( i=1; i<=n; i++ ) {
for( j=1; j<=i; j++ ) {
if( i!=j ) {
a_ij = a[ij];
a_norm += a_ij*a_ij;
}
ij++;
}
}
if( a_norm != 0.0 ) {
a_normEPS = a_norm*EPS;
thr = a_norm ;
// Step 4 : rotations
while( thr > a_normEPS && nb_iter < MAX_ITER ) {
nb_iter++;
thr_nn = thr / nn;
for( l=1 ; l< n; l++ ) {
for( m=l+1; m<=n; m++ ) {
// compute sinx and cosx
lq = (l*l-l)/2;
mq = (m*m-m)/2;
lm = l+mq;
a_lm = a[lm];
a_lm_2 = a_lm*a_lm;
if( a_lm_2 < thr_nn ) {
continue ;
}
ll = l+lq;
mm = m+mq;
a_ll = a[ll];
a_mm = a[mm];
delta = a_ll - a_mm;
if( delta == 0.0 ) {
x = - M_PI/4 ;
} else {
x = - atan( (a_lm+a_lm) / delta ) / 2.0 ;
}
sinx = sin(x) ;
cosx = cos(x) ;
sinx_2 = sinx*sinx;
cosx_2 = cosx*cosx;
sincos = sinx*cosx;
// rotate L and M columns
ilv = n*(l-1);
imv = n*(m-1);
for( i=1; i<=n;i++ ) {
if( (i!=l) && (i!=m) ) {
iq = (i*i-i)/2;
if( i<m ) {
im = i + mq;
} else {
im = m + iq;
}
a_im = a[im];
if( i<l ) {
il = i + lq;
} else {
il = l + iq;
}
a_il = a[il];
a[il] = a_il*cosx - a_im*sinx;
a[im] = a_il*sinx + a_im*cosx;
}
ilv++;
imv++;
v_ilv = v[ilv];
v_imv = v[imv];
v[ilv] = cosx*v_ilv - sinx*v_imv;
v[imv] = sinx*v_ilv + cosx*v_imv;
}
x = a_lm*sincos; x+=x;
a[ll] = a_ll*cosx_2 + a_mm*sinx_2 - x;
a[mm] = a_ll*sinx_2 + a_mm*cosx_2 + x;
a[lm] = 0.0;
thr = fabs( thr - a_lm_2 );
}
}
}
}
// Step 5: index conversion and copy eigen values
// back from Fortran to C++
a++;
for( i=0; i<n; i++ ) {
k = i + (i*(i+1))/2;
eigen_val[i] = a[k];
}
delete[] a;
// Step 6: sort the eigen values and eigen vectors
index = new int[n];
for( i=0; i<n; i++ ) {
index[i] = i;
}
for( i=0; i<(n-1); i++ ) {
x = eigen_val[i];
k = i;
for( j=i+1; j<n; j++ ) {
if( x < eigen_val[j] ) {
k = j;
x = eigen_val[j];
}
}
eigen_val[k] = eigen_val[i];
eigen_val[i] = x;
jj = index[k];
index[k] = index[i];
index[i] = jj;
}
// Step 7: save the eigen vectors
v++; // back from Fortran to to C++
ij = 0;
for( k=0; k<n; k++ ) {
ik = index[k]*n;
for( i=0; i<n; i++ ) {
eigen_vec[ij++] = v[ik++];
}
}
delete[] v ;
delete[] index;
return;
}
//_________________________________________________________
}
}