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21 // Check that the matrix m is properly reconstructed and that the U and V factors are unitary
37 typedef Matrix<Scalar, RowsAtCompileTime, RowsAtCompileTime> MatrixUType;
38 typedef Matrix<Scalar, ColsAtCompileTime, ColsAtCompileTime> MatrixVType;
88 // For instance, with Dived&Conquer SVD, if only the factor 'V' is computedt then different matrix-matrix product implementation will be used
113 typedef Matrix<Scalar, RowsAtCompileTime, Dynamic> RhsType;
114 typedef Matrix<Scalar, ColsAtCompileTime, Dynamic> SolutionType;
166 // check minimal norm solutions, the inoput matrix m is only used to recover problem size
178 typedef Matrix<Scalar, ColsAtCompileTime, Dynamic> SolutionType;
185 typedef Matrix<Scalar, RankAtCompileTime2, ColsAtCompileTime> MatrixType2;
186 typedef Matrix<Scalar, RankAtCompileTime2, 1> RhsType2;
187 typedef Matrix<Scalar, ColsAtCompileTime, RankAtCompileTime2> MatrixType2T;
199 Matrix<Scalar,Dynamic,1> tmp = qr.matrixQR().topLeftCorner(rank,rank).template triangularView<Upper>().adjoint().solve(rhs2);
210 // Now check with a rank deficient matrix
211 typedef Matrix<Scalar, RowsAtCompileTime3, ColsAtCompileTime> MatrixType3;
212 typedef Matrix<Scalar, RowsAtCompileTime3, 1> RhsType3;
214 Matrix<Scalar,RowsAtCompileTime3,Dynamic> C = Matrix<Scalar,RowsAtCompileTime3,Dynamic>::Random(rows3,rank);
449 typedef Matrix<Scalar, RowsAtCompileTime, 1> RhsType;