| /external/eigen/lapack/ |
| cholesky.cpp | 26 Scalar* a = reinterpret_cast<Scalar*>(pa);
29 if(UPLO(*uplo)==UP) ret = int(internal::llt_inplace<Scalar, Upper>::blocked(A));
30 else ret = int(internal::llt_inplace<Scalar, Lower>::blocked(A));
55 Scalar* a = reinterpret_cast<Scalar*>(pa);
56 Scalar* b = reinterpret_cast<Scalar*>(pb);
|
| /external/eigen/test/ |
| special_numbers.cpp | 12 template<typename Scalar> void special_numbers()
14 typedef Matrix<Scalar, Dynamic,Dynamic> MatType;
18 Scalar nan = std::numeric_limits<Scalar>::quiet_NaN();
19 Scalar inf = std::numeric_limits<Scalar>::infinity();
20 Scalar s1 = internal::random<Scalar>();
|
| cwiseop.cpp | 26 template<typename Scalar> struct AddIfNull {
27 const Scalar operator() (const Scalar a, const Scalar b) const {return a<=1e-3 ? b : a;}
28 enum { Cost = NumTraits<Scalar>::AddCost };
32 typename Eigen::internal::enable_if<!NumTraits<typename MatrixType::Scalar>::IsInteger,typename MatrixType::Scalar>::type
35 typedef typename MatrixType::Scalar Scalar;
36 typedef typename NumTraits<Scalar>::Real RealScalar
[all...] |
| sparse_vector.cpp | 12 template<typename Scalar,typename Index> void sparse_vector(int rows, int cols)
16 typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
17 typedef Matrix<Scalar,Dynamic,1> DenseVector;
18 typedef SparseVector<Scalar,0,Index> SparseVectorType;
19 typedef SparseMatrix<Scalar,0,Index> SparseMatrixType;
20 Scalar eps = 1e-6;
30 initSparse<Scalar>(densityVec, refV1, v1, &zerocoords, &nonzerocoords);
31 initSparse<Scalar>(densityMat, refM1, m1);
33 initSparse<Scalar>(densityVec, refV2, v2);
34 initSparse<Scalar>(densityVec, refV3, v3)
[all...] |
| /external/eigen/Eigen/src/SparseCore/ |
| SparseRedux.h | 16 typename internal::traits<Derived>::Scalar
20 Scalar res(0);
28 typename internal::traits<SparseMatrix<_Scalar,_Options,_Index> >::Scalar
32 return Matrix<Scalar,1,Dynamic>::Map(&m_data.value(0), m_data.size()).sum();
36 typename internal::traits<SparseVector<_Scalar,_Options, _Index> >::Scalar
40 return Matrix<Scalar,1,Dynamic>::Map(&m_data.value(0), m_data.size()).sum();
|
| /external/eigen/test/eigen2/ |
| eigen2_inverse.cpp | 22 typedef typename MatrixType::Scalar Scalar;
23 typedef typename NumTraits<Scalar>::Real RealScalar;
24 typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> VectorType;
42 VERIFY_IS_APPROX((Scalar(2)*m2).inverse(), m2.inverse()*Scalar(0.5));
|
| 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_visitor.cpp | 14 typedef typename MatrixType::Scalar Scalar;
25 m(i) = ei_random<Scalar>();
27 Scalar minc = Scalar(1000), maxc = Scalar(-1000);
46 Scalar eigen_minc, eigen_maxc;
61 typedef typename VectorType::Scalar Scalar;
71 v(i) = ei_random<Scalar>();
[all...] |
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| r1mpyq.h | 7 template <typename Scalar>
8 void r1mpyq(DenseIndex m, DenseIndex n, Scalar *a, const std::vector<JacobiRotation<Scalar> > &v_givens, const std::vector<JacobiRotation<Scalar> > &w_givens)
15 Scalar temp = v_givens[j].c() * a[i+m*j] - v_givens[j].s() * a[i+m*(n-1)];
22 Scalar temp = w_givens[j].c() * a[i+m*j] + w_givens[j].s() * a[i+m*(n-1)];
|
| LevenbergMarquardt.h | 45 template<typename FunctorType, typename Scalar=double>
56 : factor(Scalar(100.))
58 , ftol(std::sqrt(NumTraits<Scalar>::epsilon()))
59 , xtol(std::sqrt(NumTraits<Scalar>::epsilon()))
60 , gtol(Scalar(0.))
61 , epsfcn(Scalar(0.)) {}
62 Scalar factor;
64 Scalar ftol;
65 Scalar xtol;
66 Scalar gtol
[all...] |
| qrsolv.h | 6 template <typename Scalar>
8 Matrix< Scalar, Dynamic, Dynamic > &s,
11 const Matrix< Scalar, Dynamic, 1 > &diag,
12 const Matrix< Scalar, Dynamic, 1 > &qtb,
13 Matrix< Scalar, Dynamic, 1 > &x,
14 Matrix< Scalar, Dynamic, 1 > &sdiag)
21 Scalar temp;
23 Matrix< Scalar, Dynamic, 1 > wa(n);
24 JacobiRotation<Scalar> givens;
51 Scalar qtbpj = 0.
[all...] |
| /external/eigen/unsupported/Eigen/src/SparseExtra/ |
| MarketIO.h | 20 template <typename Scalar>
21 inline bool GetMarketLine (std::stringstream& line, int& M, int& N, int& i, int& j, Scalar& value)
33 template <typename Scalar>
34 inline bool GetMarketLine (std::stringstream& line, int& M, int& N, int& i, int& j, std::complex<Scalar>& value)
36 Scalar valR, valI;
42 value = std::complex<Scalar>(valR, valI);
65 template<typename Scalar>
69 if(internal::is_same<Scalar, std::complex<float> >::value || internal::is_same<Scalar, std::complex<double> >::value)
84 template<typename Scalar>
[all...] |
| /external/eigen/Eigen/src/Core/products/ |
| SelfadjointRank2Update.h | 21 template<typename Scalar, typename Index, typename UType, typename VType, int UpLo>
24 template<typename Scalar, typename Index, typename UType, typename VType>
25 struct selfadjoint_rank2_update_selector<Scalar,Index,UType,VType,Lower>
27 static void run(Scalar* mat, Index stride, const UType& u, const VType& v, const Scalar& alpha)
32 Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+i, size-i) +=
39 template<typename Scalar, typename Index, typename UType, typename VType>
40 struct selfadjoint_rank2_update_selector<Scalar,Index,UType,VType,Upper>
42 static void run(Scalar* mat, Index stride, const UType& u, const VType& v, const Scalar& alpha
[all...] |
| SelfadjointMatrixVector_MKL.h | 46 template<typename Scalar, typename Index, int StorageOrder, int UpLo, bool ConjugateLhs, bool ConjugateRhs>
48 selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,BuiltIn> {};
50 #define EIGEN_MKL_SYMV_SPECIALIZE(Scalar) \
52 struct selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Specialized> { \
54 Index size, const Scalar* lhs, Index lhsStride, \
55 const Scalar* _rhs, Index rhsIncr, Scalar* res, Scalar alpha) { \
60 selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,BuiltIn>::run( \
63 selfadjoint_matrix_vector_product_symv<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs>::run(
[all...] |
| /external/eigen/bench/ |
| benchCholesky.cpp | 26 typedef float Scalar;
43 typedef typename MatrixType::Scalar Scalar;
44 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType;
51 Scalar acc = 0;
129 benchLLT(Matrix<Scalar,Dynamic,Dynamic>(dynsizes[i],dynsizes[i]));
131 benchLLT(Matrix<Scalar,2,2>());
132 benchLLT(Matrix<Scalar,3,3>());
133 benchLLT(Matrix<Scalar,4,4>());
134 benchLLT(Matrix<Scalar,5,5>())
[all...] |
| bench_norm.cpp | 9 EIGEN_DONT_INLINE typename T::Scalar sqsumNorm(const T& v)
15 EIGEN_DONT_INLINE typename T::Scalar hypotNorm(const T& v)
21 EIGEN_DONT_INLINE typename T::Scalar blueNorm(const T& v)
27 EIGEN_DONT_INLINE typename T::Scalar lapackNorm(T& v)
29 typedef typename T::Scalar Scalar;
31 Scalar scale = 0;
32 Scalar ssq = 1;
35 Scalar ax = internal::abs(v.coeff(i));
42 ssq = Scalar(1) + ssq * internal::abs2(scale/ax)
[all...] |
| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| LMpar.h | 24 typename VectorType::Scalar m_delta,
25 typename VectorType::Scalar &par,
32 typedef typename QRSolver::Scalar Scalar;
37 Scalar fp;
38 Scalar parc, parl;
40 Scalar temp, paru;
41 Scalar gnorm;
42 Scalar dxnorm;
50 const Scalar dwarf = (std::numeric_limits<Scalar>::min)()
[all...] |
| LMqrsolv.h | 22 template <typename Scalar,int Rows, int Cols, typename Index>
24 Matrix<Scalar,Rows,Cols> &s,
26 const Matrix<Scalar,Dynamic,1> &diag,
27 const Matrix<Scalar,Dynamic,1> &qtb,
28 Matrix<Scalar,Dynamic,1> &x,
29 Matrix<Scalar,Dynamic,1> &sdiag)
34 Scalar temp;
36 Matrix<Scalar,Dynamic,1> wa(n);
37 JacobiRotation<Scalar> givens;
64 Scalar qtbpj = 0.
[all...] |
| /external/eigen/Eigen/src/Geometry/ |
| Transform.h | 73 * \tparam _Scalar the scalar type, i.e., the type of the coefficients
187 /** the scalar type of the coefficients */
188 typedef _Scalar Scalar;
191 typedef typename internal::make_proper_matrix_type<Scalar,Rows,HDim,Options>::type MatrixType;
195 typedef Matrix<Scalar,Dim,Dim,Options> LinearMatrixType;
209 typedef Matrix<Scalar,Dim,1> VectorType;
215 typedef Translation<Scalar,Dim> TranslationType;
220 typedef Transform<Scalar,Dim,TransformTimeDiagonalMode> TransformTimeDiagonalReturnType;
248 inline explicit Transform(const UniformScaling<Scalar>& s)
269 EIGEN_STATIC_ASSERT((internal::is_same<Scalar,typename OtherDerived::Scalar>::value)
[all...] |
| /external/eigen/Eigen/src/Eigenvalues/ |
| SelfAdjointEigenSolver.h | 80 /** \brief Scalar type for matrices of type \p _MatrixType. */
81 typedef typename MatrixType::Scalar Scalar;
84 /** \brief Real scalar type for \p _MatrixType.
86 * This is just \c Scalar if #Scalar is real (e.g., \c float or
87 * \c double), and the type of the real part of \c Scalar if #Scalar is
90 typedef typename NumTraits<Scalar>::Real RealScalar;
92 friend struct internal::direct_selfadjoint_eigenvalues<SelfAdjointEigenSolver,Size,NumTraits<Scalar>::IsComplex>
[all...] |
| RealSchur.h | 65 typedef typename MatrixType::Scalar Scalar;
66 typedef std::complex<typename NumTraits<Scalar>::Real> ComplexScalar;
70 typedef Matrix<Scalar, ColsAtCompileTime, 1, Options & ~RowMajor, MaxColsAtCompileTime, 1> ColumnVectorType;
234 typedef Matrix<Scalar,3,1> Vector3s;
236 Scalar computeNormOfT();
237 Index findSmallSubdiagEntry(Index iu, const Scalar& norm);
238 void splitOffTwoRows(Index iu, bool computeU, const Scalar& exshift);
239 void computeShift(Index iu, Index iter, Scalar& exshift, Vector3s& shiftInfo);
241 void performFrancisQRStep(Index il, Index im, Index iu, bool computeU, const Vector3s& firstHouseholderVector, Scalar* workspace)
[all...] |
| /external/eigen/Eigen/src/Core/ |
| DenseBase.h | 43 : public internal::special_scalar_op_base<Derived,typename internal::traits<Derived>::Scalar,
44 typename NumTraits<typename internal::traits<Derived>::Scalar>::Real>
50 using internal::special_scalar_op_base<Derived,typename internal::traits<Derived>::Scalar,
51 typename NumTraits<typename internal::traits<Derived>::Scalar>::Real>::operator*;
63 typedef typename internal::traits<Derived>::Scalar Scalar;
64 typedef typename internal::packet_traits<Scalar>::type PacketScalar;
65 typedef typename NumTraits<Scalar>::Real RealScalar;
238 typedef CwiseNullaryOp<internal::scalar_constant_op<Scalar>,Derived> ConstantReturnType;
240 typedef CwiseNullaryOp<internal::linspaced_op<Scalar,false>,Derived> SequentialLinSpacedReturnType
[all...] |
| CwiseUnaryView.h | 35 ViewOp(typename traits<MatrixType>::Scalar)
36 >::type Scalar;
47 : int(MatrixTypeInnerStride) * int(sizeof(typename traits<MatrixType>::Scalar) / sizeof(Scalar)),
50 : outer_stride_at_compile_time<MatrixType>::ret * int(sizeof(typename traits<MatrixType>::Scalar) / sizeof(Scalar))
103 inline Scalar* data() { return &coeffRef(0); }
104 inline const Scalar* data() const { return &coeff(0); }
108 return derived().nestedExpression().innerStride() * sizeof(typename internal::traits<MatrixType>::Scalar) / sizeof(Scalar);
[all...] |
| /external/eigen/unsupported/Eigen/src/AutoDiff/ |
| AutoDiffVector.h | 16 * \brief A scalar type replacement with automatic differentation capability
20 * This class represents a scalar value while tracking its respective derivatives.
27 * AutoDiffScalar can be used as the scalar type of an Eigen::Matrix object. However,
36 //typedef typename internal::traits<ValueType>::Scalar Scalar;
37 typedef typename internal::traits<ValueType>::Scalar BaseScalar;
39 typedef ActiveScalar Scalar;
64 Scalar sum() const { /*std::cerr << "sum \n\n";*/ /*std::cerr << m_jacobian.rowwise().sum() << "\n\n";*/ return Scalar(m_values.sum(), m_jacobian.rowwise().sum()); }
125 typename MakeCwiseBinaryOp<internal::scalar_difference_op<Scalar>,ValueType,OtherValueType>::Type
[all...] |
| /external/eigen/Eigen/src/Eigen2Support/ |
| MathFunctions.h | 34 template<typename Scalar, typename OtherScalar>
35 inline bool ei_isMuchSmallerThan(const Scalar& x, const OtherScalar& y,
36 typename NumTraits<Scalar>::Real precision = NumTraits<Scalar>::dummy_precision())
41 template<typename Scalar>
42 inline bool ei_isApprox(const Scalar& x, const Scalar& y,
43 typename NumTraits<Scalar>::Real precision = NumTraits<Scalar>::dummy_precision())
48 template<typename Scalar>
[all...] |
