GeneralMatrixVector.h File Reference

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Classes
struct	Eigen::internal::general_matrix_vector_product< Index, LhsScalar, ColMajor, ConjugateLhs, RhsScalar, ConjugateRhs, Version >
struct	Eigen::internal::general_matrix_vector_product< Index, LhsScalar, RowMajor, ConjugateLhs, RhsScalar, ConjugateRhs, Version >

Namespaces
	Eigen
	iterative scaling algorithm to equilibrate rows and column norms in matrices
	Eigen::internal

Macros
#define	_EIGEN_ACCUMULATE_PACKETS(A0, A13, A2)
#define	_EIGEN_ACCUMULATE_PACKETS(A0, A13, A2)

Macro Definition Documentation

#define _EIGEN_ACCUMULATE_PACKETS	(		A0,
			A13,
			A2
	)

Value:

pstore(&res[j], \
      padd(pload<ResPacket>(&res[j]), \
        padd( \
          padd(pcj.pmul(EIGEN_CAT(ploa , A0)<LhsPacket>(&lhs0[j]),    ptmp0), \
                  pcj.pmul(EIGEN_CAT(ploa , A13)<LhsPacket>(&lhs1[j]),   ptmp1)), \
          padd(pcj.pmul(EIGEN_CAT(ploa , A2)<LhsPacket>(&lhs2[j]),    ptmp2), \
                  pcj.pmul(EIGEN_CAT(ploa , A13)<LhsPacket>(&lhs3[j]),   ptmp3)) )))

#define _EIGEN_ACCUMULATE_PACKETS	(		A0,
			A13,
			A2
	)

Value:

{\
    RhsPacket b = pload<RhsPacket>(&rhs[j]); \
    ptmp0 = pcj.pmadd(EIGEN_CAT(ploa,A0) <LhsPacket>(&lhs0[j]), b, ptmp0); \
    ptmp1 = pcj.pmadd(EIGEN_CAT(ploa,A13)<LhsPacket>(&lhs1[j]), b, ptmp1); \
    ptmp2 = pcj.pmadd(EIGEN_CAT(ploa,A2) <LhsPacket>(&lhs2[j]), b, ptmp2); \
    ptmp3 = pcj.pmadd(EIGEN_CAT(ploa,A13)<LhsPacket>(&lhs3[j]), b, ptmp3); }