/external/eigen/Eigen/src/Core/ |
H A D | StableNorm.h | 48 RealScalar scale(0); 49 RealScalar invScale(1); 50 RealScalar ssq(0); // sum of square 80 static RealScalar b1, b2, s1m, s2m, overfl, rbig, relerr; 84 RealScalar abig, eps; 94 ibeta = std::numeric_limits<RealScalar>::radix; // base for floating-point numbers 95 it = std::numeric_limits<RealScalar>::digits; // number of base-beta digits in mantissa 96 iemin = std::numeric_limits<RealScalar>::min_exponent; // minimum exponent 97 iemax = std::numeric_limits<RealScalar>::max_exponent; // maximum exponent 98 rbig = (std::numeric_limits<RealScalar> [all...] |
H A D | Fuzzy.h | 22 static bool run(const Derived& x, const OtherDerived& y, typename Derived::RealScalar prec) 34 static bool run(const Derived& x, const OtherDerived& y, typename Derived::RealScalar) 43 static bool run(const Derived& x, const OtherDerived& y, typename Derived::RealScalar prec) 52 static bool run(const Derived& x, const OtherDerived&, typename Derived::RealScalar) 61 static bool run(const Derived& x, const typename Derived::RealScalar& y, typename Derived::RealScalar prec) 70 static bool run(const Derived& x, const typename Derived::RealScalar&, typename Derived::RealScalar) 92 * RealScalar&, RealScalar) instea [all...] |
H A D | MathFunctions.h | 65 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in struct:Eigen::internal::real_impl 66 static inline RealScalar run(const Scalar& x) 72 template<typename RealScalar> 73 struct real_impl<std::complex<RealScalar> > 75 static inline RealScalar run(const std::complex<RealScalar>& x) 101 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in struct:Eigen::internal::imag_impl 102 static inline RealScalar run(const Scalar&) 104 return RealScalar(0); 108 template<typename RealScalar> 137 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in struct:Eigen::internal::real_ref_impl 173 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in struct:Eigen::internal::imag_ref_default_impl 260 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in struct:Eigen::internal::abs_impl 287 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in struct:Eigen::internal::abs2_impl 322 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in struct:Eigen::internal::norm1_default_impl 360 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in struct:Eigen::internal::hypot_impl 688 typedef typename NumTraits<Scalar>::Real RealScalar; typedef 717 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in struct:Eigen::internal::scalar_fuzzy_default_impl 737 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in struct:Eigen::internal::scalar_fuzzy_default_impl 739 isMuchSmallerThan(const Scalar& x, const Scalar&, const RealScalar&) argument 743 isApprox(const Scalar& x, const Scalar& y, const RealScalar&) argument 747 isApproxOrLessThan(const Scalar& x, const Scalar& y, const RealScalar&) argument 756 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in struct:Eigen::internal::scalar_fuzzy_default_impl 807 typedef bool RealScalar; typedef in struct:Eigen::internal::scalar_fuzzy_impl [all...] |
/external/eigen/unsupported/Eigen/src/Polynomials/ |
H A D | PolynomialSolver.h | 35 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in class:Eigen::PolynomialSolverBase 36 typedef std::complex<RealScalar> RootType; 70 const RealScalar& absImaginaryThreshold = NumTraits<Scalar>::dummy_precision() ) const 85 RealScalar norm2 = internal::abs2( m_roots[0] ); 88 const RealScalar currNorm2 = internal::abs2( m_roots[i] ); 116 inline const RealScalar& selectRealRoot_withRespectToAbsRealPart( 119 const RealScalar& absImaginaryThreshold = NumTraits<Scalar>::dummy_precision() ) const 123 RealScalar abs2(0); 137 const RealScalar currAbs2 = m_roots[i].real() * m_roots[i].real(); 156 inline const RealScalar [all...] |
/external/eigen/blas/ |
H A D | level1_cplx_impl.h | 13 typedef RealScalar result_type; 15 inline RealScalar operator() (const Scalar& a) const { return internal::norm1(a); } 28 RealScalar EIGEN_CAT(EIGEN_CAT(REAL_SCALAR_SUFFIX,SCALAR_SUFFIX),asum_)(int *n, RealScalar *px, int *incx) 40 int EIGEN_BLAS_FUNC(dotcw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar* pres) 59 int EIGEN_BLAS_FUNC(dotuw)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar* pre [all...] |
H A D | level1_real_impl.h | 14 RealScalar EIGEN_BLAS_FUNC(asum)(int *n, RealScalar *px, int *incx) 27 Scalar EIGEN_BLAS_FUNC(dot)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy) 46 Scalar EIGEN_BLAS_FUNC(nrm2)(int *n, RealScalar *px, int *incx) 57 int EIGEN_BLAS_FUNC(rot)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy, RealScalar *pc, RealScalar *ps) 83 int EIGEN_BLAS_FUNC(rotm)(int *n, RealScalar *p [all...] |
H A D | level1_impl.h | 12 int EIGEN_BLAS_FUNC(axpy)(int *n, RealScalar *palpha, RealScalar *px, int *incx, RealScalar *py, int *incy) 29 int EIGEN_BLAS_FUNC(copy)(int *n, RealScalar *px, int *incx, RealScalar *py, int *incy) 54 int EIGEN_CAT(EIGEN_CAT(i,SCALAR_SUFFIX),amax_)(int *n, RealScalar *px, int *incx) 65 int EIGEN_CAT(EIGEN_CAT(i,SCALAR_SUFFIX),amin_)(int *n, RealScalar *px, int *incx) 76 int EIGEN_BLAS_FUNC(rotg)(RealScalar *pa, RealScalar *pb, RealScalar *p [all...] |
H A D | level2_cplx_impl.h | 19 int EIGEN_BLAS_FUNC(hemv)(char *uplo, int *n, RealScalar *palpha, RealScalar *pa, int *lda, RealScalar *px, int *incx, RealScalar *pbeta, RealScalar *py, int *incy) 69 // int EIGEN_BLAS_FUNC(hbmv)(char *uplo, int *n, int *k, RealScalar *alpha, RealScalar *a, int *lda, 70 // RealScalar *x, int *incx, RealScalar *beta, RealScalar * [all...] |
H A D | level2_real_impl.h | 13 int EIGEN_BLAS_FUNC(symv) (char *uplo, int *n, RealScalar *palpha, RealScalar *pa, int *lda, RealScalar *px, int *incx, RealScalar *pbeta, RealScalar *py, int *incy) 54 int EIGEN_BLAS_FUNC(syr)(char *uplo, int *n, RealScalar *palpha, RealScalar *px, int *incx, RealScalar *pc, int *ldc) 108 int EIGEN_BLAS_FUNC(syr2)(char *uplo, int *n, RealScalar *palpha, RealScalar *p [all...] |
/external/eigen/Eigen/src/Householder/ |
H A D | Householder.h | 42 void MatrixBase<Derived>::makeHouseholderInPlace(Scalar& tau, RealScalar& beta) 68 RealScalar& beta) const 73 RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); 76 if(tailSqNorm == RealScalar(0) && internal::imag(c0)==RealScalar(0)) 78 tau = RealScalar(0); 85 if (internal::real(c0)>=RealScalar(0))
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/external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
H A D | MatrixFunctionAtomic.h | 30 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in class:Eigen::MatrixFunctionAtomic 67 RealScalar m_mu; 75 m_avgEival = A.trace() / Scalar(RealScalar(m_Arows)); 84 P = Scalar(RealScalar(1.0/(s + 1))) * P * m_Ashifted; 109 const RealScalar F_norm = F.cwiseAbs().rowwise().sum().maxCoeff(); 110 const RealScalar Fincr_norm = Fincr.cwiseAbs().rowwise().sum().maxCoeff(); 112 RealScalar delta = 0; 113 RealScalar rfactorial = 1; 115 RealScalar mx = 0; 119 rfactorial *= RealScalar( [all...] |
/external/eigen/unsupported/test/ |
H A D | matrix_function.cpp | 20 return ((a-b).array().abs() < test_precision<typename Type1::RealScalar>()).all(); 30 typedef typename MatrixType::RealScalar RealScalar; typedef 33 diag(i, i) = Scalar(RealScalar(internal::random<int>(0,2))) 34 + internal::random<Scalar>() * Scalar(RealScalar(0.01)); 84 typedef typename MatrixType::RealScalar RealScalar; typedef 88 diag(i, i) = Scalar(RealScalar(internal::random<Index>(-1, 1))) * imagUnit 89 + internal::random<Scalar>() * Scalar(RealScalar(0.01)); 102 typedef typename NumTraits<Scalar>::Real RealScalar; typedef 112 typedef typename NumTraits<Scalar>::Real RealScalar; typedef 141 typedef typename NumTraits<Scalar>::Real RealScalar; typedef [all...] |
/external/eigen/test/ |
H A D | bandmatrix.cpp | 16 typedef typename NumTraits<Scalar>::Real RealScalar; typedef 33 m.diagonal(i).setConstant(static_cast<RealScalar>(i)); 34 dm1.diagonal(i).setConstant(static_cast<RealScalar>(i)); 38 m.diagonal(-i).setConstant(-static_cast<RealScalar>(i)); 39 dm1.diagonal(-i).setConstant(-static_cast<RealScalar>(i)); 46 m.col(i).setConstant(static_cast<RealScalar>(i+1)); 47 dm1.col(i).setConstant(static_cast<RealScalar>(i+1));
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H A D | prec_inverse_4x4.cpp | 17 typedef typename MatrixType::RealScalar RealScalar; typedef 33 typedef typename MatrixType::RealScalar RealScalar; typedef 38 RealScalar absdet;
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H A D | stable_norm.cpp | 37 typedef typename NumTraits<Scalar>::Real RealScalar; typedef 43 ibeta = std::numeric_limits<RealScalar>::radix; // base for floating-point numbers 44 it = std::numeric_limits<RealScalar>::digits; // number of base-beta digits in mantissa 45 iemin = std::numeric_limits<RealScalar>::min_exponent; // minimum exponent 46 iemax = std::numeric_limits<RealScalar>::max_exponent; // maximum exponent 56 Scalar big = internal::random<Scalar>() * ((std::numeric_limits<RealScalar>::max)() * RealScalar(1e-4)); 57 Scalar small = internal::random<Scalar>() * ((std::numeric_limits<RealScalar>::min)() * RealScalar(1e4)); 67 VERIFY_IS_MUCH_SMALLER_THAN(vzero.norm(), static_cast<RealScalar>( [all...] |
H A D | eigensolver_complex.cpp | 21 typedef typename NumTraits<typename VectorType::Scalar>::Real RealScalar; typedef 28 VERIFY_IS_APPROX(vec1.array().pow(RealScalar(k)).sum(), vec2.array().pow(RealScalar(k)).sum()); 43 typedef typename NumTraits<Scalar>::Real RealScalar; typedef 45 typedef Matrix<RealScalar, MatrixType::RowsAtCompileTime, 1> RealVectorType; 72 VERIFY_IS_APPROX(id.operatorNorm(), RealScalar(1)); 77 a(0,0) = std::numeric_limits<typename MatrixType::RealScalar>::quiet_NaN();
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/external/eigen/test/eigen2/ |
H A D | eigen2_adjoint.cpp | 19 typedef typename NumTraits<Scalar>::Real RealScalar; typedef 25 RealScalar largerEps = test_precision<RealScalar>(); 26 if (ei_is_same_type<RealScalar,float>::ret) 27 largerEps = RealScalar(1e-3f); 52 typedef typename NumTraits<Scalar>::Real RealScalar; typedef 59 VERIFY_IS_MUCH_SMALLER_THAN(ei_abs(vzero.eigen2_dot(v1)), static_cast<RealScalar>(1)); 61 VERIFY_IS_MUCH_SMALLER_THAN(vzero.norm(), static_cast<RealScalar>(1)); 76 VERIFY_IS_APPROX(VectorType::Random(rows).normalized().norm(), RealScalar(1));
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H A D | eigen2_parametrizedline.cpp | 24 typedef typename NumTraits<Scalar>::Real RealScalar; typedef 39 VERIFY_IS_MUCH_SMALLER_THAN( l0.distance(p0), RealScalar(1) ); 40 VERIFY_IS_MUCH_SMALLER_THAN( l0.distance(p0+s0*d0), RealScalar(1) ); 42 VERIFY_IS_MUCH_SMALLER_THAN( l0.distance(l0.projection(p1)), RealScalar(1) );
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H A D | eigen2_prec_inverse_4x4.cpp | 32 typedef typename MatrixType::RealScalar RealScalar; typedef 51 typedef typename MatrixType::RealScalar RealScalar; typedef 56 RealScalar absdet;
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H A D | eigen2_svd.cpp | 22 typedef typename NumTraits<Scalar>::Real RealScalar; typedef 28 RealScalar largerEps = test_precision<RealScalar>(); 29 if (ei_is_same_type<RealScalar,float>::ret) 44 if (ei_is_same_type<RealScalar,float>::ret)
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/external/eigen/Eigen/src/Core/util/ |
H A D | BlasUtil.h | 63 template<typename RealScalar> struct conj_helper<std::complex<RealScalar>, std::complex<RealScalar>, false,true> 65 typedef std::complex<RealScalar> Scalar; 73 template<typename RealScalar> struct conj_helper<std::complex<RealScalar>, std::complex<RealScalar>, true,false> 75 typedef std::complex<RealScalar> Scalar; 83 template<typename RealScalar> struct conj_helper<std::complex<RealScalar>, st [all...] |
/external/eigen/Eigen/src/SparseCore/ |
H A D | SparseSparseProductWithPruning.h | 20 static void sparse_sparse_product_with_pruning_impl(const Lhs& lhs, const Rhs& rhs, ResultType& res, typename ResultType::RealScalar tolerance) 86 typedef typename ResultType::RealScalar RealScalar; typedef in struct:Eigen::internal::sparse_sparse_product_with_pruning_selector 88 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, RealScalar tolerance) 99 typedef typename ResultType::RealScalar RealScalar; typedef in struct:Eigen::internal::sparse_sparse_product_with_pruning_selector 100 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, RealScalar tolerance) 113 typedef typename ResultType::RealScalar RealScalar; typedef in struct:Eigen::internal::sparse_sparse_product_with_pruning_selector 114 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, RealScalar toleranc 126 typedef typename ResultType::RealScalar RealScalar; typedef in struct:Eigen::internal::sparse_sparse_product_with_pruning_selector [all...] |
/external/eigen/Eigen/src/Jacobi/ |
H A D | Jacobi.h | 37 typedef typename NumTraits<Scalar>::Real RealScalar; typedef in class:Eigen::JacobiRotation 65 bool makeJacobi(RealScalar x, Scalar y, RealScalar z); 82 bool JacobiRotation<Scalar>::makeJacobi(RealScalar x, Scalar y, RealScalar z) 84 typedef typename NumTraits<Scalar>::Real RealScalar; typedef 93 RealScalar tau = (x-z)/(RealScalar(2)*internal::abs(y)); 94 RealScalar w = internal::sqrt(internal::abs2(tau) + RealScalar( [all...] |
/external/eigen/Eigen/src/IterativeLinearSolvers/ |
H A D | ConjugateGradient.h | 30 typename Dest::RealScalar& tol_error) 34 typedef typename Dest::RealScalar RealScalar; typedef 38 RealScalar tol = tol_error; 49 RealScalar absNew = internal::real(residual.dot(p)); // the square of the absolute value of r scaled by invM 50 RealScalar rhsNorm2 = rhs.squaredNorm(); 51 RealScalar residualNorm2 = 0; 52 RealScalar threshold = tol*tol*rhsNorm2; 68 RealScalar absOld = absNew; 70 RealScalar bet 156 typedef typename MatrixType::RealScalar RealScalar; typedef in class:Eigen::ConjugateGradient [all...] |
H A D | IterativeSolverBase.h | 28 typedef typename MatrixType::RealScalar RealScalar; typedef in class:Eigen::IterativeSolverBase 120 RealScalar tolerance() const { return m_tolerance; } 123 Derived& setTolerance(RealScalar tolerance) 156 RealScalar error() const 227 RealScalar m_tolerance; 229 mutable RealScalar m_error;
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