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  /external/eigen/doc/snippets/
MatrixBase_adjoint.cpp 3 cout << "Here is the adjoint of m:" << endl << m.adjoint() << endl;
Jacobi_makeJacobi.cpp 2 m = (m + m.adjoint()).eval();
6 m.applyOnTheLeft(0, 1, J.adjoint());
LLT_solve.cpp 7 = (samples.adjoint() * samples).llt().solve((samples.adjoint()*elevations));
tut_arithmetic_transpose_conjugate.cpp 10 cout << "Here is the matrix a^*\n" << a.adjoint() << endl;
Jacobi_makeGivens.cpp 5 v.applyOnTheLeft(0, 1, G.adjoint());
RealQZ_compute.cpp 15 << "\n|QQ* - I|: " << (qz.matrixQ()*qz.matrixQ().adjoint() - MatrixXf::Identity(4,4)).norm()
16 << ", |ZZ* - I|: " << (qz.matrixZ()*qz.matrixZ().adjoint() - MatrixXf::Identity(4,4)).norm()
HouseholderSequence_HouseholderSequence.cpp 15 Matrix3d H0 = Matrix3d::Identity() - h(0) * v0 * v0.adjoint();
18 Matrix3d H1 = Matrix3d::Identity() - h(1) * v1 * v1.adjoint();
21 Matrix3d H2 = Matrix3d::Identity() - h(2) * v2 * v2.adjoint();
Tridiagonalization_diagonal.cpp 2 MatrixXcd A = X + X.adjoint();
3 cout << "Here is a random self-adjoint 4x4 matrix:" << endl << A << endl << endl;
  /external/eigen/test/
product_syrk.cpp 39 ((s1 * rhs2 * rhs2.adjoint()).eval().template triangularView<Lower>().toDenseMatrix()));
41 VERIFY_IS_APPROX(((m2.template triangularView<Lower>() += s1 * rhs2 * rhs22.adjoint()).nestedExpression()),
42 ((s1 * rhs2 * rhs22.adjoint()).eval().template triangularView<Lower>().toDenseMatrix()));
47 (s1 * rhs2 * rhs2.adjoint()).eval().template triangularView<Upper>().toDenseMatrix());
49 VERIFY_IS_APPROX((m2.template triangularView<Upper>() += s1 * rhs22 * rhs2.adjoint()).nestedExpression(),
50 (s1 * rhs22 * rhs2.adjoint()).eval().template triangularView<Upper>().toDenseMatrix());
54 VERIFY_IS_APPROX(m2.template selfadjointView<Lower>().rankUpdate(rhs1.adjoint(),s1)._expression(),
55 (s1 * rhs1.adjoint() * rhs1).eval().template triangularView<Lower>().toDenseMatrix());
57 VERIFY_IS_APPROX((m2.template triangularView<Lower>() += s1 * rhs11.adjoint() * rhs1).nestedExpression(),
58 (s1 * rhs11.adjoint() * rhs1).eval().template triangularView<Lower>().toDenseMatrix())
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product_selfadjoint.cpp 38 m1 = (m1.adjoint() + m1).eval();
43 VERIFY_IS_APPROX(m2, (m1 + v1 * v2.adjoint()+ v2 * v1.adjoint()).template triangularView<Lower>().toDenseMatrix());
47 VERIFY_IS_APPROX(m2, (m1 + (s3*(-v1)*(s2*v2).adjoint()+numext::conj(s3)*(s2*v2)*(-v1).adjoint())).template triangularView<Upper>().toDenseMatrix());
50 m2.template selfadjointView<Upper>().rankUpdate(-s2*r1.adjoint(),r2.adjoint()*s3,s1);
51 VERIFY_IS_APPROX(m2, (m1 + s1*(-s2*r1.adjoint())*(r2.adjoint()*s3).adjoint() + numext::conj(s1)*(r2.adjoint()*s3) * (-s2*r1.adjoint()).adjoint()).template triangularView<Upp (…)
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eigensolver_generalized_real.cpp 33 MatrixType spdA = a.adjoint() * a + a1.adjoint() * a1;
34 MatrixType spdB = b.adjoint() * b + b1.adjoint() * b1;
75 GeneralizedSelfAdjointEigenSolver<MatrixType> eig1(a.adjoint() * a,b.adjoint() * b);
76 eig1.compute(a.adjoint() * a,b.adjoint() * b);
77 GeneralizedEigenSolver<MatrixType> eig2(a.adjoint() * a,b.adjoint() * b)
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product_notemporary.cpp 45 VERIFY_EVALUATION_COUNT( m3 = (m1 * m2.adjoint()), 1);
46 VERIFY_EVALUATION_COUNT( m3 = (m1 * m2.adjoint()).transpose(), 1);
47 VERIFY_EVALUATION_COUNT( m3.noalias() = m1 * m2.adjoint(), 0);
53 VERIFY_EVALUATION_COUNT( m3 = m3 + (m1 * m2.adjoint()), 1);
54 VERIFY_EVALUATION_COUNT( m3 = m3 - (m1 * m2.adjoint()), 1);
56 VERIFY_EVALUATION_COUNT( m3 = m3 + (m1 * m2.adjoint()).transpose(), 1);
64 VERIFY_EVALUATION_COUNT( m3.noalias() = s1 * m1 * s2 * m2.adjoint(), 0);
65 VERIFY_EVALUATION_COUNT( m3.noalias() = s1 * m1 * s2 * (m1*s3+m2*s2).adjoint(), 1);
66 VERIFY_EVALUATION_COUNT( m3.noalias() = (s1 * m1).adjoint() * s2 * m2, 0);
67 VERIFY_EVALUATION_COUNT( m3.noalias() += s1 * (-m1*s3).adjoint() * (s2 * m2 * s3), 0)
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adjoint.cpp 22 // check compatibility of dot and adjoint
23 VERIFY(test_isApproxWithRef(v1.dot(square * v2), (square.adjoint() * v1).dot(v2), 0));
57 // check compatibility of dot and adjoint
58 ref = NumTraits<Scalar>::IsInteger ? 0 : (std::max)((std::max)(v1.norm(),v2.norm()),(std::max)((square * v2).norm(),(square.adjoint() * v1).norm()));
59 VERIFY(internal::isMuchSmallerThan(abs(v1.dot(square * v2) - (square.adjoint() * v1).dot(v2)), ref, test_precision<Scalar>()));
67 template<typename MatrixType> void adjoint(const MatrixType& m) function
95 // check basic compatibility of adjoint, transpose, conjugate
96 VERIFY_IS_APPROX(m1.transpose().conjugate().adjoint(), m1);
97 VERIFY_IS_APPROX(m1.adjoint().conjugate().transpose(), m1);
100 VERIFY_IS_APPROX((m1.adjoint() * m2).adjoint(), m2.adjoint() * m1)
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product_symm.cpp 27 m1 = (m1+m1.adjoint()).eval();
54 VERIFY_IS_APPROX(rhs12 = (s1*m2).adjoint().template selfadjointView<Upper>() * (s2*rhs1),
55 rhs13 = (s1*m1).adjoint() * (s2*rhs1));
57 VERIFY_IS_APPROX(rhs12 = (s1*m2).template selfadjointView<Lower>().adjoint() * (s2*rhs1),
58 rhs13 = (s1*m1).adjoint() * (s2*rhs1));
67 VERIFY_IS_APPROX(rhs12 = (s1*m2).template selfadjointView<Lower>() * (s2*rhs2.adjoint()),
68 rhs13 = (s1*m1) * (s2*rhs2.adjoint()));
71 VERIFY_IS_APPROX(rhs12 = (s1*m2).template selfadjointView<Upper>() * (s2*rhs2.adjoint()),
72 rhs13 = (s1*m1) * (s2*rhs2.adjoint()));
75 VERIFY_IS_APPROX(rhs12 = (s1*m2.adjoint()).template selfadjointView<Lower>() * (s2*rhs2.adjoint())
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product_trmm.cpp 54 VERIFY_IS_APPROX( ge_xs.noalias() = (s1*mat.adjoint()).template triangularView<Mode>() * (s2*ge_left.transpose()), s1*triTr.conjugate() * (s2*ge_left.transpose()));
55 VERIFY_IS_APPROX( ge_sx.noalias() = ge_right.transpose() * mat.adjoint().template triangularView<Mode>(), ge_right.transpose() * triTr.conjugate());
57 VERIFY_IS_APPROX( ge_xs.noalias() = (s1*mat.adjoint()).template triangularView<Mode>() * (s2*ge_left.adjoint()), s1*triTr.conjugate() * (s2*ge_left.adjoint()));
58 VERIFY_IS_APPROX( ge_sx.noalias() = ge_right.adjoint() * mat.adjoint().template triangularView<Mode>(), ge_right.adjoint() * triTr.conjugate());
61 VERIFY_IS_APPROX( (ge_xs_save + s1*triTr.conjugate() * (s2*ge_left.adjoint())).eval(), ge_xs.noalias() += (s1*mat.adjoint()).template triangularView<Mode>() * (s2*ge_left.adjoint()) )
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mixingtypes.cpp 160 VERIFY_IS_APPROX(sd*md.adjoint()*mcd, (sd*md).template cast<CD>().eval().adjoint()*mcd);
161 VERIFY_IS_APPROX(sd*mcd.adjoint()*md, sd*mcd.adjoint()*md.template cast<CD>());
162 VERIFY_IS_APPROX(sd*md.adjoint()*mcd.adjoint(), (sd*md).template cast<CD>().eval().adjoint()*mcd.adjoint());
163 VERIFY_IS_APPROX(sd*mcd.adjoint()*md.adjoint(), sd*mcd.adjoint()*md.template cast<CD>().adjoint())
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upperbidiagonalization.cpp 26 MatrixType c = ubd.householderU() * b * ubd.householderV().adjoint();
28 TransposeMatrixType d = ubd.householderV() * b.adjoint() * ubd.householderU().adjoint();
29 VERIFY_IS_APPROX(a.adjoint(),d);
nomalloc.cpp 48 m2.col(0).noalias() -= m1.adjoint() * m1.col(0);
49 m2.col(0).noalias() -= m1 * m1.row(0).adjoint();
50 m2.col(0).noalias() -= m1.adjoint() * m1.row(0).adjoint();
53 m2.row(0).noalias() -= m1.row(0) * m1.adjoint();
54 m2.row(0).noalias() -= m1.col(0).adjoint() * m1;
55 m2.row(0).noalias() -= m1.col(0).adjoint() * m1.adjoint();
59 m2.col(0).noalias() -= m1.adjoint().template triangularView<Upper>() * m1.col(0);
60 m2.col(0).noalias() -= m1.template triangularView<Upper>() * m1.row(0).adjoint();
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product_mmtr.cpp 48 CHECK_MMTR(matc, Lower, = s*soc*sor.adjoint());
49 CHECK_MMTR(matc, Upper, = s*(soc*soc.adjoint()));
50 CHECK_MMTR(matr, Lower, = s*soc*soc.adjoint());
51 CHECK_MMTR(matr, Upper, = soc*(s*sor.adjoint()));
53 CHECK_MMTR(matc, Lower, += s*soc*soc.adjoint());
55 CHECK_MMTR(matr, Lower, += s*sor*soc.adjoint());
56 CHECK_MMTR(matr, Upper, += soc*(s*soc.adjoint()));
58 CHECK_MMTR(matc, Lower, -= s*soc*soc.adjoint());
60 CHECK_MMTR(matr, Lower, -= s*soc*soc.adjoint());
61 CHECK_MMTR(matr, Upper, -= soc*(s*soc.adjoint()));
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product_extra.cpp 41 VERIFY_IS_APPROX(m3.noalias() = m1 * m2.adjoint(), m1 * m2.adjoint().eval());
42 VERIFY_IS_APPROX(m3.noalias() = m1.adjoint() * square.adjoint(), m1.adjoint().eval() * square.adjoint().eval());
43 VERIFY_IS_APPROX(m3.noalias() = m1.adjoint() * m2, m1.adjoint().eval() * m2);
44 VERIFY_IS_APPROX(m3.noalias() = (s1 * m1.adjoint()) * m2, (s1 * m1.adjoint()).eval() * m2)
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product_trmv.cpp 60 VERIFY((m3.adjoint() * v1).isApprox(m1.adjoint().template triangularView<Eigen::Lower>() * v1, largerEps));
62 VERIFY((m3.adjoint() * (s1*v1.conjugate())).isApprox(m1.adjoint().template triangularView<Eigen::Upper>() * (s1*v1.conjugate()), largerEps));
68 VERIFY((v1.adjoint() * m3).isApprox(v1.adjoint() * m1.template triangularView<Eigen::Lower>(), largerEps));
69 VERIFY((v1.adjoint() * m3.adjoint()).isApprox(v1.adjoint() * m1.template triangularView<Eigen::Lower>().adjoint(), largerEps))
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lu.cpp 92 VERIFY_IS_APPROX(m1 * m1.adjoint() * m1image, m1image);
113 m2 = m1.adjoint()*m3;
116 VERIFY_IS_APPROX(m2, m1.adjoint()*m3);
118 m3 = lu.adjoint().solve(m2);
119 VERIFY_IS_APPROX(m2, m1.adjoint()*m3);
169 VERIFY_IS_APPROX(m3, m1.adjoint()*m2);
171 m3 = lu.adjoint().solve(m2);
172 VERIFY_IS_APPROX(m2, m1.adjoint()*m3);
214 VERIFY_IS_APPROX(m3, m1.adjoint()*m2);
216 m3 = plu.adjoint().solve(m2)
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  /external/eigen/doc/examples/
tut_arithmetic_dot_cross.cpp 12 double dp = v.adjoint()*w; // automatic conversion of the inner product to a scalar
  /external/eigen/lapack/
svd.cpp 63 matrix(vt,*n,*n,*ldvt) = svd.matrixV().adjoint();
68 matrix(vt,diag_size,*n,*ldvt) = svd.matrixV().adjoint();
73 matrix(vt,*n,*n,*ldvt) = svd.matrixV().adjoint();
78 matrix(a,diag_size,*n,*lda) = svd.matrixV().adjoint();
133 if(*jobv=='A') matrix(vt,*n,*n,*ldvt) = svd.matrixV().adjoint();
134 else if(*jobv=='S') matrix(vt,diag_size,*n,*ldvt) = svd.matrixV().adjoint();
135 else if(*jobv=='O') matrix(a,diag_size,*n,*lda) = svd.matrixV().adjoint();
  /external/eigen/Eigen/src/Householder/
BlockHouseholder.h 38 // triFactor.col(i).head(i).noalias() = -h * vectors.block(i, 0, rs, i).adjoint()
63 triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
92 VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat;
95 else tmp = T.template triangularView<Upper>().adjoint() * tmp;

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