http://quantlib.414.s1.nabble.com/Longstaff-Schwartz-method-SVD-and-OLS-tp8855p8863.html
it's in SVN. Thanks.
> Hi. Similar problem in SVD::solveFor. It uses all singular values to
> compute matrix pseudo-inverse. Insignificant singular values should be
> dropped. Quick fix:
>
>
> Disposable<Array> SVD::solveFor(const Array& b) const{
> Matrix W(n_, n_, 0.0);
> Size numericalRank = this->rank();
> for (Size i=0; i<numericalRank; i++)
> W[i][i] = 1./s_[i];
>
> Matrix inverse = V()* W * transpose(U());
> Array result = inverse * b;
> return result;
> }
>
>
>
> Also, in SVD::rank implementation we could replace
> Real eps = std::pow(2.0,-52.0);
> with
> Real eps = QL_EPSILON.
>
>
> Regards,
> Kakhkhor Abdijalilov.
>
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