rows() [2/2]

template<Rank rank>

Index syten::Delinearise::rows ( Tensor< rank > const &  in, Index const  uncombinedLeg, Tensor< 2 > &  t, Tensor< rank > &  p, std::vector< Index >  leading_dimensions = std::vector<Index>(), bool  relax_if_necessary = false  )

inline

Row-based Delinearisation.

Parameters

[in]	in	input tensor to decompose into in → t p
[in]	uncombinedLeg	leg of in/p which is not combined and at which t attaches
[out]	t	output tensor with rank 2
[out]	p	output tensor with same rank as in
[in]	leading_dimensions	number of leading dimensions for threshold estimates
[in]	relax_if_necessary	Do a rank-revealing QR decomposition after each dense decomposition. If the resulting matrix is not full rank, relax the epsilon threshold to allow cancellation to zero and re-try.

Returns

the number of discarded vectors

Internally uses Delinearise::cols() and transposes t manually afterwards.

References cols(), and syten::transpose().

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