prodD() [3/4]

template<Rank summed, Rank frank, Rank srank, typename Scalar , std::enable_if_t<(int(frank)+int(srank) - 2 *int(summed) > 0), int > = 0>

GenericDenseTensor< frank+srank - 2 *summed, Scalar > syten::GenericDenseTensorImpl::prodD ( GenericDenseTensor< frank, Scalar > const &  a, GenericDenseTensor< srank, Scalar > const &  b, std::array< int, frank > const &  c_a, std::array< int, srank > const &  c_b, bool  conjugate = false, EliminateZeros const  ezeros = EliminateZeros::No, DenseProduct::TemporaryTransposeStorage< Scalar, frank, srank > *  tts = nullptr  )

inline

Product wrapper for generic dense tensors.

Forwards to the appropriate implementation.

Parameters

a	the first tensor
b	the second tensor
c_a	the product specification for the first tensor
c_b	the product specification for the second tensor
conjugate	if true, complex-conjugate the elements of b
ezeros	if equal to EliminateZeros::Yes, small zeros arising from not-small columns and rows will be eliminated.
tts	if non-nullptr, used to temporarily store transposed arrays

Template Parameters

summed	number of contracted indices
frank	rank of first tensor
srank	rank of second tensor
Scalar	scalar type of the tensors, usually std::complex<double>

If a value c_a[i-1] is positive, the i-th leg of a will be contracted with the leg j of b for which c_b[j] = c_a[i]. If the value is negative, the leg will be taken as the -c_a[i-1]-th output leg. Positive numbers have to include all numbers (inclusive) between 1 and summed. Negative numbers have to include all numbers (inclusive) between -1 and -frank - srank + 2 * summed.

Example\n

prodD<2>(a, b, {-3, 1, -1, 2}, {2, -2, 1}) is equivalent to \( R_{ijk} = \sum_{lm} A_{klim} B_{mjl} \)

References syten::GenericDenseTensorImpl::GenericDenseTensor< rank, Scalar >::storage.