33   MatrixType m1 = MatrixType::Random(rows, cols),  in nomalloc()  local
42   VERIFY_IS_APPROX((m1+m2)*s1,              s1*m1+s1*m2);  in nomalloc()
43   VERIFY_IS_APPROX((m1+m2)(r,c), (m1(r,c))+(m2(r,c)));  in nomalloc()
44   VERIFY_IS_APPROX(m1.cwiseProduct(m1.block(0,0,rows,cols)), (m1.array()*m1.array()).matrix());  in nomalloc()
45   VERIFY_IS_APPROX((m1*m1.transpose())*m2,  m1*(m1.transpose()*m2));  in nomalloc()
47   m2.col(0).noalias() = m1 * m1.col(0);  in nomalloc()
48   m2.col(0).noalias() -= m1.adjoint() * m1.col(0);  in nomalloc()
49   m2.col(0).noalias() -= m1 * m1.row(0).adjoint();  in nomalloc()
50   m2.col(0).noalias() -= m1.adjoint() * m1.row(0).adjoint();  in nomalloc()
52   m2.row(0).noalias() = m1.row(0) * m1;  in nomalloc()
53   m2.row(0).noalias() -= m1.row(0) * m1.adjoint();  in nomalloc()
54   m2.row(0).noalias() -= m1.col(0).adjoint() * m1;  in nomalloc()
55   m2.row(0).noalias() -= m1.col(0).adjoint() * m1.adjoint();  in nomalloc()
58   m2.col(0).noalias() = m1.template triangularView<Upper>() * m1.col(0);  in nomalloc()
59   m2.col(0).noalias() -= m1.adjoint().template triangularView<Upper>() * m1.col(0);  in nomalloc()
60   m2.col(0).noalias() -= m1.template triangularView<Upper>() * m1.row(0).adjoint();  in nomalloc()
61   m2.col(0).noalias() -= m1.adjoint().template triangularView<Upper>() * m1.row(0).adjoint();  in nomalloc()
63   m2.row(0).noalias() = m1.row(0) * m1.template triangularView<Upper>();  in nomalloc()
64   m2.row(0).noalias() -= m1.row(0) * m1.adjoint().template triangularView<Upper>();  in nomalloc()
65   m2.row(0).noalias() -= m1.col(0).adjoint() * m1.template triangularView<Upper>();  in nomalloc()
66   m2.row(0).noalias() -= m1.col(0).adjoint() * m1.adjoint().template triangularView<Upper>();  in nomalloc()
69   m2.col(0).noalias() = m1.template selfadjointView<Upper>() * m1.col(0);  in nomalloc()
70   m2.col(0).noalias() -= m1.adjoint().template selfadjointView<Upper>() * m1.col(0);  in nomalloc()
71   m2.col(0).noalias() -= m1.template selfadjointView<Upper>() * m1.row(0).adjoint();  in nomalloc()
72   m2.col(0).noalias() -= m1.adjoint().template selfadjointView<Upper>() * m1.row(0).adjoint();  in nomalloc()
74   m2.row(0).noalias() = m1.row(0) * m1.template selfadjointView<Upper>();  in nomalloc()
75   m2.row(0).noalias() -= m1.row(0) * m1.adjoint().template selfadjointView<Upper>();  in nomalloc()
76   m2.row(0).noalias() -= m1.col(0).adjoint() * m1.template selfadjointView<Upper>();  in nomalloc()
77   m2.row(0).noalias() -= m1.col(0).adjoint() * m1.adjoint().template selfadjointView<Upper>();  in nomalloc()
80   m2.template selfadjointView<Lower>().rankUpdate(m1.col(0),-1);  in nomalloc()
81   m2.template selfadjointView<Upper>().rankUpdate(m1.row(0),-1);  in nomalloc()
82   m2.template selfadjointView<Lower>().rankUpdate(m1.col(0), m1.col(0)); // rank-2  in nomalloc()
85   m2.template selfadjointView<Lower>().rankUpdate(m1);  in nomalloc()
86   m2 += m2.template triangularView<Upper>() * m1;  in nomalloc()
88   m1 += m1.template selfadjointView<Lower>() * m2;  in nomalloc()