template<typename MatrixType> void triangular(const MatrixType& m)
{
typedef typename MatrixType::Scalar Scalar;
typedef typename NumTraits<Scalar>::Real RealScalar;
typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
RealScalar largerEps = 10*test_precision<RealScalar>();
int rows = m.rows();
int cols = m.cols();
MatrixType m1 = MatrixType::Random(rows, cols),
m2 = MatrixType::Random(rows, cols),
m3(rows, cols),
m4(rows, cols),
r1(rows, cols),
r2(rows, cols),
mzero = MatrixType::Zero(rows, cols),
mones = MatrixType::Ones(rows, cols),
identity = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
::Identity(rows, rows),
square = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
::Random(rows, rows);
VectorType v1 = VectorType::Random(rows),
v2 = VectorType::Random(rows),
vzero = VectorType::Zero(rows);
MatrixType m1up = m1.template part<Eigen::UpperTriangular>();
MatrixType m2up = m2.template part<Eigen::UpperTriangular>();
if (rows*cols>1)
{
VERIFY(m1up.isUpperTriangular());
VERIFY(m2up.transpose().isLowerTriangular());
VERIFY(!m2.isLowerTriangular());
}
// VERIFY_IS_APPROX(m1up.transpose() * m2, m1.upper().transpose().lower() * m2);
// test overloaded operator+=
r1.setZero();
r2.setZero();
r1.template part<Eigen::UpperTriangular>() += m1;
r2 += m1up;
VERIFY_IS_APPROX(r1,r2);
// test overloaded operator=
m1.setZero();
m1.template part<Eigen::UpperTriangular>() = (m2.transpose() * m2).lazy();
m3 = m2.transpose() * m2;
VERIFY_IS_APPROX(m3.template part<Eigen::LowerTriangular>().transpose(), m1);
// test overloaded operator=
m1.setZero();
m1.template part<Eigen::LowerTriangular>() = (m2.transpose() * m2).lazy();
VERIFY_IS_APPROX(m3.template part<Eigen::LowerTriangular>(), m1);
VERIFY_IS_APPROX(m3.template part<Diagonal>(), m3.diagonal().asDiagonal());
m1 = MatrixType::Random(rows, cols);
for (int i=0; i<rows; ++i)
while (ei_abs2(m1(i,i))<1e-3) m1(i,i) = ei_random<Scalar>();
Transpose<MatrixType> trm4(m4);
// test back and forward subsitution
m3 = m1.template part<Eigen::LowerTriangular>();
VERIFY(m3.template marked<Eigen::LowerTriangular>().solveTriangular(m3).cwise().abs().isIdentity(test_precision<RealScalar>()));
VERIFY(m3.transpose().template marked<Eigen::UpperTriangular>()
.solveTriangular(m3.transpose()).cwise().abs().isIdentity(test_precision<RealScalar>()));
// check M * inv(L) using in place API
m4 = m3;
m3.transpose().template marked<Eigen::UpperTriangular>().solveTriangularInPlace(trm4);
VERIFY(m4.cwise().abs().isIdentity(test_precision<RealScalar>()));
m3 = m1.template part<Eigen::UpperTriangular>();
VERIFY(m3.template marked<Eigen::UpperTriangular>().solveTriangular(m3).cwise().abs().isIdentity(test_precision<RealScalar>()));
VERIFY(m3.transpose().template marked<Eigen::LowerTriangular>()
.solveTriangular(m3.transpose()).cwise().abs().isIdentity(test_precision<RealScalar>()));
// check M * inv(U) using in place API
m4 = m3;
m3.transpose().template marked<Eigen::LowerTriangular>().solveTriangularInPlace(trm4);
VERIFY(m4.cwise().abs().isIdentity(test_precision<RealScalar>()));
m3 = m1.template part<Eigen::UpperTriangular>();
VERIFY(m2.isApprox(m3 * (m3.template marked<Eigen::UpperTriangular>().solveTriangular(m2)), largerEps));
m3 = m1.template part<Eigen::LowerTriangular>();
VERIFY(m2.isApprox(m3 * (m3.template marked<Eigen::LowerTriangular>().solveTriangular(m2)), largerEps));
VERIFY((m1.template part<Eigen::UpperTriangular>() * m2.template part<Eigen::UpperTriangular>()).isUpperTriangular());
// test swap
m1.setOnes();
m2.setZero();
m2.template part<Eigen::UpperTriangular>().swap(m1);
m3.setZero();
m3.template part<Eigen::UpperTriangular>().setOnes();
VERIFY_IS_APPROX(m2,m3);
}
template<typename MatrixType> void triangular_square(const MatrixType& m)
{
typedef typename MatrixType::Scalar Scalar;
typedef typename NumTraits<Scalar>::Real RealScalar;
typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
RealScalar largerEps = 10*test_precision<RealScalar>();
typename MatrixType::Index rows = m.rows();
typename MatrixType::Index cols = m.cols();
MatrixType m1 = MatrixType::Random(rows, cols),
m2 = MatrixType::Random(rows, cols),
m3(rows, cols),
m4(rows, cols),
r1(rows, cols),
r2(rows, cols),
mzero = MatrixType::Zero(rows, cols),
mones = MatrixType::Ones(rows, cols),
identity = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
::Identity(rows, rows),
square = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
::Random(rows, rows);
VectorType v1 = VectorType::Random(rows),
v2 = VectorType::Random(rows),
vzero = VectorType::Zero(rows);
MatrixType m1up = m1.template triangularView<Upper>();
MatrixType m2up = m2.template triangularView<Upper>();
if (rows*cols>1)
{
VERIFY(m1up.isUpperTriangular());
VERIFY(m2up.transpose().isLowerTriangular());
VERIFY(!m2.isLowerTriangular());
}
// VERIFY_IS_APPROX(m1up.transpose() * m2, m1.upper().transpose().lower() * m2);
// test overloaded operator+=
r1.setZero();
r2.setZero();
r1.template triangularView<Upper>() += m1;
r2 += m1up;
VERIFY_IS_APPROX(r1,r2);
// test overloaded operator=
m1.setZero();
m1.template triangularView<Upper>() = m2.transpose() + m2;
m3 = m2.transpose() + m2;
VERIFY_IS_APPROX(m3.template triangularView<Lower>().transpose().toDenseMatrix(), m1);
// test overloaded operator=
m1.setZero();
m1.template triangularView<Lower>() = m2.transpose() + m2;
VERIFY_IS_APPROX(m3.template triangularView<Lower>().toDenseMatrix(), m1);
m1 = MatrixType::Random(rows, cols);
for (int i=0; i<rows; ++i)
while (ei_abs2(m1(i,i))<1e-1) m1(i,i) = ei_random<Scalar>();
Transpose<MatrixType> trm4(m4);
// test back and forward subsitution with a vector as the rhs
m3 = m1.template triangularView<Upper>();
VERIFY(v2.isApprox(m3.adjoint() * (m1.adjoint().template triangularView<Lower>().solve(v2)), largerEps));
m3 = m1.template triangularView<Lower>();
VERIFY(v2.isApprox(m3.transpose() * (m1.transpose().template triangularView<Upper>().solve(v2)), largerEps));
m3 = m1.template triangularView<Upper>();
VERIFY(v2.isApprox(m3 * (m1.template triangularView<Upper>().solve(v2)), largerEps));
m3 = m1.template triangularView<Lower>();
VERIFY(v2.isApprox(m3.conjugate() * (m1.conjugate().template triangularView<Lower>().solve(v2)), largerEps));
// test back and forward subsitution with a matrix as the rhs
m3 = m1.template triangularView<Upper>();
VERIFY(m2.isApprox(m3.adjoint() * (m1.adjoint().template triangularView<Lower>().solve(m2)), largerEps));
m3 = m1.template triangularView<Lower>();
VERIFY(m2.isApprox(m3.transpose() * (m1.transpose().template triangularView<Upper>().solve(m2)), largerEps));
m3 = m1.template triangularView<Upper>();
VERIFY(m2.isApprox(m3 * (m1.template triangularView<Upper>().solve(m2)), largerEps));
m3 = m1.template triangularView<Lower>();
VERIFY(m2.isApprox(m3.conjugate() * (m1.conjugate().template triangularView<Lower>().solve(m2)), largerEps));
// check M * inv(L) using in place API
m4 = m3;
m3.transpose().template triangularView<Eigen::Upper>().solveInPlace(trm4);
VERIFY(m4.cwiseAbs().isIdentity(test_precision<RealScalar>()));
// check M * inv(U) using in place API
m3 = m1.template triangularView<Upper>();
m4 = m3;
m3.transpose().template triangularView<Eigen::Lower>().solveInPlace(trm4);
VERIFY(m4.cwiseAbs().isIdentity(test_precision<RealScalar>()));
// check solve with unit diagonal
m3 = m1.template triangularView<UnitUpper>();
VERIFY(m2.isApprox(m3 * (m1.template triangularView<UnitUpper>().solve(m2)), largerEps));
// VERIFY(( m1.template triangularView<Upper>()
// * m2.template triangularView<Upper>()).isUpperTriangular());
// test swap
m1.setOnes();
m2.setZero();
m2.template triangularView<Upper>().swap(m1);
m3.setZero();
m3.template triangularView<Upper>().setOnes();
VERIFY_IS_APPROX(m2,m3);
}
