void Householder<T>::evalHHmatrixData(const NDArray<T>& x, NDArray<T>& tail, T& coeff, T& normX) {
// input validation
if(!x.isVector() && !x.isScalar())
throw "ops::helpers::Householder::evalHHmatrixData method: input array must be vector or scalar!";
if(!x.isScalar() && x.lengthOf() != tail.lengthOf() + 1)
throw "ops::helpers::Householder::evalHHmatrixData method: input tail vector must have length less than unity compared to input x vector!";
normX = x.template reduceNumber<simdOps::Norm2<T>>();
const T min = DataTypeUtils::min<T>();
if(normX*normX - x(0)*x(0) <= min) {
normX = x(0);
coeff = (T)0.;
tail = (T)0.;
}
else {
if(x(0) >= (T)0.)
normX = -normX; // choose opposite sign to lessen roundoff error
T u0 = x(0) - normX;
coeff = -u0 / normX;
if(x.isRowVector())
tail.assign(x({{}, {1, -1}}) / u0);
else
tail.assign(x({{1, -1}, {}}) / u0);
}
}
void Householder<T>::evalHHmatrixDataI(const NDArray<T>& x, T& coeff, T& normX) {
int rows = (int)x.lengthOf()-1;
int num = 1;
if(rows == 0) {
rows = 1;
num = 0;
}
NDArray<T> tail(rows, 1, x.ordering(), x.getWorkspace());
evalHHmatrixData(x, tail, coeff, normX);
if(x.isRowVector()) {
NDArray<T>* temp = x.subarray({{}, {num, x.sizeAt(1)}});
temp->assign(tail);
delete temp;
}
else {
NDArray<T>* temp = x.subarray({{num, x.sizeAt(0)}, {}});
temp->assign(tail);
delete temp;
}
}
