class TSVDUnfold: public TObject

 Alternative constructor
 User provides data and MC test spectra, as well as detector response matrix, diagonal covariance matrix of measured spectrum built from the uncertainties on measured spectrum

 Default constructor
 Initialisation of TSVDUnfold
 User provides data and MC test spectra, as well as detector response matrix and the covariance matrix of the measured distribution

 Copy constructor

 Destructor

 Perform the unfolding with regularisation parameter kreg

 Determine for given input error matrix covariance matrix of unfolded
 spectrum from toy simulation given the passed covariance matrix on measured spectrum
 "cov"    - covariance matrix on the measured spectrum, to be propagated
 "ntoys"  - number of pseudo experiments used for the propagation
 "seed"   - seed for pseudo experiments
 Note that this covariance matrix will contain effects of forced normalisation if spectrum is normalised to unit area.

 Determine covariance matrix of unfolded spectrum from finite statistics in
 response matrix using pseudo experiments
 "ntoys"  - number of pseudo experiments used for the propagation
 "seed"   - seed for pseudo experiments

 Returns d vector (for choosing appropriate regularisation)

 Returns singular values vector

 Returns the computed regularized covariance matrix corresponding to total uncertainties on measured spectrum as passed in the constructor.
 Note that this covariance matrix will not contain the effects of forced normalization if spectrum is normalized to unit area.

 Returns the computed inverse of the covariance matrix

 Returns the covariance matrix

 Fill 1D histogram into vector

 Fill 1D histogram errors into vector

 Fill vector into 1D histogram

 Fill 2D histogram into matrix

 Fill 2D histogram into matrix

 Divide entries of two vectors

 Divide matrix entries by vector

 Multiply entries of two vectors

 Compute curvature of vector

 naive regularised inversion cuts off small elements

 Helper routine to compute chi-squared between distributions using the computed inverse of the covariance matrix for the unfolded spectrum as given in paper.

 Set option to normalize unfolded spectrum to unit area
 "normalize" - switch

 Regularisation parameter