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Remove deprecated code not used by evaluators
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@@ -124,21 +124,6 @@ class SPQR : public SparseSolverBase<SPQR<_MatrixType> >
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* Get the number of columns of the input matrix.
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*/
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inline Index cols() const { return m_cR->ncol; }
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#ifndef EIGEN_TEST_EVALUATORS
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/** \returns the solution X of \f$ A X = B \f$ using the current decomposition of A.
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*
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* \sa compute()
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*/
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template<typename Rhs>
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inline const internal::solve_retval<SPQR, Rhs> solve(const MatrixBase<Rhs>& B) const
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{
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eigen_assert(m_isInitialized && " The QR factorization should be computed first, call compute()");
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eigen_assert(this->rows()==B.rows()
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&& "SPQR::solve(): invalid number of rows of the right hand side matrix B");
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return internal::solve_retval<SPQR, Rhs>(*this, B.derived());
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}
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#endif // EIGEN_TEST_EVALUATORS
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template<typename Rhs, typename Dest>
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void _solve_impl(const MatrixBase<Rhs> &b, MatrixBase<Dest> &dest) const
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@@ -292,24 +277,5 @@ struct SPQRMatrixQTransposeReturnType{
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const SPQRType& m_spqr;
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};
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#ifndef EIGEN_TEST_EVALUATORS
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namespace internal {
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template<typename _MatrixType, typename Rhs>
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struct solve_retval<SPQR<_MatrixType>, Rhs>
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: solve_retval_base<SPQR<_MatrixType>, Rhs>
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{
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typedef SPQR<_MatrixType> Dec;
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EIGEN_MAKE_SOLVE_HELPERS(Dec,Rhs)
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template<typename Dest> void evalTo(Dest& dst) const
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{
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dec()._solve_impl(rhs(),dst);
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}
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};
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} // end namespace internal
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#endif
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}// End namespace Eigen
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#endif
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