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}
//now, solve the generalized eigenvector of the matrix pair (M,N):
//MC = nNC
//
//M,N are (reduced) 9x9 matrices constructed above,
//C is vector (infact, the coeff), n is scalar Lagrange multiplier
//
//if M,N were (full-size) 10x10 matrices, the N would be singular
//as the 1st row would contain only zeros,
//it is therefore reduced to 9x9 sacrifing the first row
//
//according to netlib (Lapack) docs, http://www.netlib.org/lapack/lug/node34.html
//type 1, Az=lBz -- A=M, B=N, z=C
//function: SSYGV
lapack_int itype=1;
char jobz='V';
char uplo='U';
lapack_int n=9;
float w[10];
float work[512];
lapack_int lwork=512;
lapack_int info;
LAPACK_ssygv(&itype,&jobz,&uplo,&n,M,&n,N,&n,w,work,&lwork,&info);
std::cout << "vertices considered: " << neigs.size() << "\n";
std::cout << "info=" << info << " (0 is OK)\n";
std::cout << "work(1)=" << work[0] << " (should be below 512)\n";
//if some error, report it to the caller
if (info != 0) return info;
//M is now matrix of eigenvectors
//it should hold (according to Lapack docs):
//Z^T N Z = I where Z is one eigenvector, I is identity matrix
//
//w holds eigenvalues in ascending order
//our result c[1]...c[9] is the eigenvector
Vladimír Ulman
committed
//corresponding to the smallest non-negative eigenvalue, so the j-th eigenvector
int j=0;
while (j < 9 && w[j] < 0.f) ++j;
//have we found some non-negative eigenvalue?
if (j == 9) return(-9999);
//also:
//the last missing coefficient c[0] we will determine by submitting
//the given input vertex to the algebraic expresion of the surface
//(given with coeffs) and equating it to zero:
coeffs[0]=0.f;
for (int i=0; i < 9; ++i)
{
Vladimír Ulman
committed
coeffs[i+1]=M[j*9 +i]; //copy eigenvector
coeffs[0]-=coeffs[i+1]*V[i+1]; //determine c[0]
Vladimír Ulman
committed
std::cout << "w(j)=" << w[j] << ", j=" << j << "\n";
bool ActiveMesh::GetPointOnQuadricSurface(const float x,const float y,
float &z1, float &z2,
const float (&coeffs)[10])
{
const float a=coeffs[9];
const float b=coeffs[3] +coeffs[5]*x +coeffs[6]*y;
const float c=coeffs[0] +coeffs[1]*x +coeffs[2]*y
+coeffs[4]*x*y +coeffs[7]*x*x +coeffs[8]*y*y;
const float sqArg=b*b - 4*a*c;
if (sqArg < 0.f) return false;
if (a == 0.f) return false;
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z1=(-b + sqrtf(sqArg)) / (2.f*a);
z2=(-b - sqrtf(sqArg)) / (2.f*a);
return true;
}
float ActiveMesh::GetClosestPointOnQuadricSurface(Vector3F& point,
const float (&coeffs)[10])
{
//backup original input coordinate
const float x=point.x;
const float y=point.y;
const float z=point.z;
float tmp1,tmp2;
//list of possible coordinates
std::vector<Vector3F> pointAdepts;
//took a pair of coordinates, calculate the third one
//and make it an adept...
if (GetPointOnQuadricSurface(x,y,tmp1,tmp2,coeffs))
{
pointAdepts.push_back(Vector3F(x,y,tmp1));
pointAdepts.push_back(Vector3F(x,y,tmp2));
}
if (GetPointOnQuadricSurface(x,z,tmp1,tmp2,coeffs))
{
pointAdepts.push_back(Vector3F(x,tmp1,z));
pointAdepts.push_back(Vector3F(x,tmp2,z));
}
if (GetPointOnQuadricSurface(y,z,tmp1,tmp2,coeffs))
{
pointAdepts.push_back(Vector3F(tmp1,y,z));
pointAdepts.push_back(Vector3F(tmp2,y,z));
}
//are we doomed?
if (pointAdepts.size() == 0)
return (-999999.f);
//find the closest
int closestIndex=ChooseClosestPoint(pointAdepts,point);
//calc distance to it
point-=pointAdepts[closestIndex];
tmp1=point.Len();
//adjust the input/output point
point=pointAdepts[closestIndex];
return (tmp1);
}
int ActiveMesh::ChooseClosestPoint(const std::vector<Vector3F>& points,
const Vector3F& point)
{
int minIndex=-1;
float minSqDist=9999999999999.f;
Vector3F p;
for (unsigned int i=0; i < points.size(); ++i)
{
p=point;
p-=points[i];
if (p.LenQ() < minSqDist)
{
minIndex=i;
minSqDist=p.LenQ();
}
}
return minIndex;
}