| /external/eigen/test/eigen2/ |
| eigen2_miscmatrices.cpp | 18 typedef typename MatrixType::Scalar Scalar;
19 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
20 typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
25 VERIFY_IS_APPROX(MatrixType::Ones(rows,cols)(r,c), static_cast<Scalar>(1));
27 VERIFY_IS_APPROX(m1(r,c), static_cast<Scalar>(1));
30 Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
33 else VERIFY_IS_MUCH_SMALLER_THAN(square(r,r2), static_cast<Scalar>(1));
|
| eigen2_parametrizedline.cpp | 23 typedef typename LineType::Scalar Scalar;
24 typedef typename NumTraits<Scalar>::Real RealScalar;
25 typedef Matrix<Scalar, LineType::AmbientDimAtCompileTime, 1> VectorType;
26 typedef Matrix<Scalar, LineType::AmbientDimAtCompileTime,
36 Scalar s0 = ei_random<Scalar>();
37 Scalar s1 = ei_abs(ei_random<Scalar>());
43 VERIFY_IS_APPROX( Scalar(l0.distance((p0+s0*d0) + d0.unitOrthogonal() * s1)), s1 )
[all...] |
| eigen2_prec_inverse_4x4.cpp | 31 typedef typename MatrixType::Scalar Scalar;
42 double error = double( (m*inv-MatrixType::Identity()).norm() / epsilon<Scalar>() );
50 typedef typename MatrixType::Scalar Scalar;
60 } while(absdet < 10 * epsilon<Scalar>());
62 double error = double( (m*inv-MatrixType::Identity()).norm() * absdet / epsilon<Scalar>() );
66 std::cerr << "inverse_general_4x4, Scalar = " << type_name<Scalar>() << std::endl;
70 VERIFY(error_avg < (NumTraits<Scalar>::IsComplex ? 8.0 : 1.25))
[all...] |
| eigen2_sum.cpp | 14 typedef typename MatrixType::Scalar Scalar;
21 VERIFY_IS_MUCH_SMALLER_THAN(MatrixType::Zero(rows, cols).sum(), Scalar(1));
22 VERIFY_IS_APPROX(MatrixType::Ones(rows, cols).sum(), Scalar(float(rows*cols))); // the float() here to shut up excessive MSVC warning about int->complex conversion being lossy
23 Scalar x = Scalar(0);
30 typedef typename VectorType::Scalar Scalar;
36 Scalar s = Scalar(0)
[all...] |
| eigen2_svd.cpp | 21 typedef typename MatrixType::Scalar Scalar;
22 typedef typename NumTraits<Scalar>::Real RealScalar;
24 Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> b =
25 Matrix<Scalar, MatrixType::RowsAtCompileTime, 1>::Random(rows,1);
26 Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> x(cols,1), x2(cols,1);
|
| eigen2_swap.cpp | 28 typedef typename MatrixType::Scalar Scalar;
36 MatrixType m2 = MatrixType::Random(rows,cols) + Scalar(100) * MatrixType::Identity(rows,cols);
37 OtherMatrixType m3 = OtherMatrixType::Random(rows,cols) + Scalar(200) * OtherMatrixType::Identity(rows,cols);
|
| /external/eigen/test/ |
| inverse.cpp | 23 typedef typename MatrixType::Scalar Scalar;
24 typedef typename NumTraits<Scalar>::Real RealScalar;
25 typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> VectorType;
34 VERIFY_IS_APPROX((Scalar(2)*m2).inverse(), m2.inverse()*Scalar(0.5));
|
| jacobi.cpp | 17 typedef typename MatrixType::Scalar Scalar;
|
| linearstructure.cpp | 18 typedef typename MatrixType::Scalar Scalar;
29 Scalar s1 = internal::random<Scalar>();
30 while (internal::abs(s1)<1e-3) s1 = internal::random<Scalar>();
48 if(!NumTraits<Scalar>::IsInteger)
60 if(!NumTraits<Scalar>::IsInteger)
|
| mapstride.cpp | 15 typedef typename VectorType::Scalar Scalar;
23 Scalar* a_array = internal::aligned_new<Scalar>(arraysize+1);
24 Scalar* array = a_array;
26 array = (Scalar*)(ptrdiff_t(a_array) + (internal::packet_traits<Scalar>::AlignedOnScalar?sizeof(Scalar):sizeof(typename NumTraits<Scalar>::Real)));
54 typedef typename MatrixType::Scalar Scalar
[all...] |
| miscmatrices.cpp | 18 typedef typename MatrixType::Scalar Scalar;
19 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
20 typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
25 VERIFY_IS_APPROX(MatrixType::Ones(rows,cols)(r,c), static_cast<Scalar>(1));
27 VERIFY_IS_APPROX(m1(r,c), static_cast<Scalar>(1));
30 Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>
33 else VERIFY_IS_MUCH_SMALLER_THAN(square(r,r2), static_cast<Scalar>(1));
|
| prec_inverse_4x4.cpp | 16 typedef typename MatrixType::Scalar Scalar;
23 double error = double( (m*inv-MatrixType::Identity()).norm() / NumTraits<Scalar>::epsilon() );
32 typedef typename MatrixType::Scalar Scalar;
42 } while(absdet < NumTraits<Scalar>::epsilon());
44 double error = double( (m*inv-MatrixType::Identity()).norm() * absdet / NumTraits<Scalar>::epsilon() );
48 std::cerr << "inverse_general_4x4, Scalar = " << type_name<Scalar>() << std::endl;
54 VERIFY(error_avg < (NumTraits<Scalar>::IsComplex ? 8.0 : 1.25))
[all...] |
| product_trmv.cpp | 15 typedef typename MatrixType::Scalar Scalar;
16 typedef typename NumTraits<Scalar>::Real RealScalar;
17 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
28 Scalar s1 = internal::random<Scalar>();
42 // check conjugated and scalar multiple expressions (col-major)
58 // check conjugated and scalar multiple expressions (row-major)
|
| schur_real.cpp | 19 typedef typename MatrixType::Scalar Scalar;
24 VERIFY(T(row,col) == Scalar(0));
31 if (T(row,row-1) != Scalar(0)) {
33 Scalar tr = T(row-1,row-1) + T(row,row);
34 Scalar det = T(row-1,row-1) * T(row,row) - T(row-1,row) * T(row,row-1);
78 A(0,0) = std::numeric_limits<typename MatrixType::Scalar>::quiet_NaN();
|
| selfadjoint.cpp | 18 typedef typename MatrixType::Scalar Scalar;
19 typedef typename NumTraits<Scalar>::Real RealScalar;
27 m1.diagonal() = m1.diagonal().real().template cast<Scalar>();
|
| swap.cpp | 28 typedef typename MatrixType::Scalar Scalar;
36 MatrixType m2 = MatrixType::Random(rows,cols) + Scalar(100) * MatrixType::Identity(rows,cols);
37 OtherMatrixType m3 = OtherMatrixType::Random(rows,cols) + Scalar(200) * OtherMatrixType::Identity(rows,cols);
|
| vectorwiseop.cpp | 17 typedef typename ArrayType::Scalar Scalar;
18 typedef typename NumTraits<Scalar>::Real RealScalar;
19 typedef Array<Scalar, ArrayType::RowsAtCompileTime, 1> ColVectorType;
20 typedef Array<Scalar, 1, ArrayType::ColsAtCompileTime> RowVectorType;
110 typedef typename MatrixType::Scalar Scalar;
111 typedef typename NumTraits<Scalar>::Real RealScalar;
112 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> ColVectorType;
113 typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType
[all...] |
| /external/eigen/unsupported/Eigen/src/Polynomials/ |
| PolynomialUtils.h | 75 typename NumTraits<typename Polynomial::Scalar>::Real cauchy_max_bound( const Polynomial& poly )
77 typedef typename Polynomial::Scalar Scalar;
78 typedef typename NumTraits<Scalar>::Real Real;
80 assert( Scalar(0) != poly[poly.size()-1] );
81 const Scalar inv_leading_coeff = Scalar(1)/poly[poly.size()-1];
97 typename NumTraits<typename Polynomial::Scalar>::Real cauchy_min_bound( const Polynomial& poly )
99 typedef typename Polynomial::Scalar Scalar;
[all...] |
| /external/eigen/unsupported/doc/examples/ |
| FFT.cpp | 77 typedef typename NumTraits<T_freq>::Real Scalar;
82 static FFT<Scalar> fft;
95 cout << " scalar ";
|
| /external/eigen/Eigen/src/Eigen2Support/Geometry/ |
| Scaling.h | 20 * \param _Scalar the scalar type, i.e., the type of the coefficients.
35 /** the scalar type of the coefficients */
36 typedef _Scalar Scalar;
38 typedef Matrix<Scalar,Dim,1> VectorType;
40 typedef Matrix<Scalar,Dim,Dim> LinearMatrixType;
42 typedef Translation<Scalar,Dim> TranslationType;
44 typedef Transform<Scalar,Dim> TransformType;
55 explicit inline Scaling(const Scalar& s) { m_coeffs.setConstant(s); }
57 inline Scaling(const Scalar& sx, const Scalar& sy
[all...] |
| Translation.h | 20 * \param _Scalar the scalar type, i.e., the type of the coefficients.
35 /** the scalar type of the coefficients */
36 typedef _Scalar Scalar;
38 typedef Matrix<Scalar,Dim,1> VectorType;
40 typedef Matrix<Scalar,Dim,Dim> LinearMatrixType;
42 typedef Scaling<Scalar,Dim> ScalingType;
44 typedef Transform<Scalar,Dim> TransformType;
55 inline Translation(const Scalar& sx, const Scalar& sy)
62 inline Translation(const Scalar& sx, const Scalar& sy, const Scalar& sz
[all...] |
| /external/eigen/Eigen/src/Geometry/ |
| OrthoMethods.h | 45 typename Scalar = typename VectorLhs::Scalar,
104 EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),
131 typedef typename traits<Derived>::Scalar Scalar;
132 typedef typename NumTraits<Scalar>::Real RealScalar;
134 typedef Matrix<Scalar,2,1> Vector2;
155 typedef typename traits<Derived>::Scalar Scalar;
[all...] |
| RotationBase.h | 33 /** the scalar type of the coefficients */
34 typedef typename internal::traits<Derived>::Scalar Scalar;
37 typedef Matrix<Scalar,Dim,Dim> RotationMatrixType;
38 typedef Matrix<Scalar,Dim,1> VectorType;
56 inline Transform<Scalar,Dim,Isometry> operator*(const Translation<Scalar,Dim>& t) const
57 { return Transform<Scalar,Dim,Isometry>(*this) * t; }
60 inline RotationMatrixType operator*(const UniformScaling<Scalar>& s) const
80 friend inline Transform<Scalar,Dim,Affine> operator*(const DiagonalMatrix<Scalar,Dim>& l, const Derived& r
[all...] |
| /external/eigen/Eigen/src/SparseCore/ |
| CoreIterators.h | 29 typedef typename Derived::Scalar Scalar;
38 EIGEN_STRONG_INLINE Scalar value() const
|
| SparseCwiseUnaryOp.h | 37 typedef typename CwiseUnaryOpImpl::Scalar Scalar;
48 EIGEN_STRONG_INLINE typename CwiseUnaryOpImpl::Scalar value() const { return m_functor(Base::value()); }
53 typename CwiseUnaryOpImpl::Scalar& valueRef();
60 typedef typename CwiseUnaryOpImpl::Scalar Scalar;
71 EIGEN_STRONG_INLINE typename CwiseUnaryOpImpl::Scalar value() const { return m_functor(Base::value()); }
76 typename CwiseUnaryOpImpl::Scalar& valueRef();
101 typedef typename CwiseUnaryViewImpl::Scalar Scalar;
[all...] |
