ion is implemented as
a discrete minimum curvature condition. This minimal implementation of
<tt>TSVDUnfold</tt> provides unfolding of one-dimensional histograms with
equal number of, not necessarily equidistant, bins in the measured and
unfolded distributions. In addition to the unfolding itself,
<tt>TSVDUnfold</tt> provides
<ul>
<li>Propagation of covariance matrices from the measured to the unfolded
spectrum via <tt>GetUnfoldCovMatrix</tt></li>
<li>Evaluation of covariance matrix due to finite statistics