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numerical thresholds collected into a traits template

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jiri committed 2026-11-05 16:27:49 +01:00
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commit 2ed864bda4
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tensor.h
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@@ -446,7 +446,7 @@ public:
Tensor merge_indices(const INDEXLIST &il, int symmetry=0) const; //opposite to flatten (merging with optional symmetrization/antisymmetrization and compression)
Tensor merge_indices(const NRVec<INDEXNAME> &nl, int symmetry=0) const {return merge_indices(findindexlist(nl),symmetry);};
NRVec<NRMat<T> > Tucker(typename LA_traits<T>::normtype thr=1e-12, bool inverseorder=false); //HOSVD-Tucker decomposition, return core tensor in *this, flattened
NRVec<NRMat<T> > Tucker(typename LA_traits<T>::normtype thr=LA_precision<typename LA_traits<T>::normtype>::svd_threshold(), bool inverseorder=false); //HOSVD-Tucker decomposition, return core tensor in *this, flattened
Tensor inverseTucker(const NRVec<NRMat<T> > &x, bool inverseorder=false) const; //rebuild the original tensor from Tucker
Tensor linear_transform(const NRVec<NRMat<T> > &x) const; //linear transform by a different matrix per each index group, preserving group symmetries
Tensor linear_transform(const int g, const Tensor<T> &x) const; //linear transform a single group, preserve its position and symmetry, x must be rank-2 flat tensor (this is useful for raising/lowering indices)