| /external/eigen/blas/ |
| PackedSelfadjointProduct.h | 24 typedef typename NumTraits<Scalar>::Real RealScalar;
25 static void run(Index size, Scalar* mat, const Scalar* vec, RealScalar alpha)
44 typedef typename NumTraits<Scalar>::Real RealScalar;
45 static void run(Index size, Scalar* mat, const Scalar* vec, RealScalar alpha)
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| /external/eigen/test/ |
| product_trsolve.cpp | 32 typedef typename NumTraits<Scalar>::Real RealScalar;
43 cmLhs.setRandom(); cmLhs *= static_cast<RealScalar>(0.1); cmLhs.diagonal().array() += static_cast<RealScalar>(1);
44 rmLhs.setRandom(); rmLhs *= static_cast<RealScalar>(0.1); rmLhs.diagonal().array() += static_cast<RealScalar>(1);
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| svd_fill.h | 25 typedef typename MatrixType::RealScalar RealScalar;
28 RealScalar s = std::numeric_limits<RealScalar>::max_exponent10/4;
29 s = internal::random<RealScalar>(1,s);
30 Matrix<RealScalar,Dynamic,1> d = Matrix<RealScalar,Dynamic,1>::Random(diagSize);
32 d(k) = d(k)*pow(RealScalar(10),internal::random<RealScalar>(-s,s));
68 samples << 0, four_denorms<RealScalar>(),
[all...] |
| bandmatrix.cpp | 15 typedef typename NumTraits<Scalar>::Real RealScalar;
32 m.diagonal(i).setConstant(static_cast<RealScalar>(i));
33 dm1.diagonal(i).setConstant(static_cast<RealScalar>(i));
37 m.diagonal(-i).setConstant(-static_cast<RealScalar>(i));
38 dm1.diagonal(-i).setConstant(-static_cast<RealScalar>(i));
45 m.col(i).setConstant(static_cast<RealScalar>(i+1));
46 dm1.col(i).setConstant(static_cast<RealScalar>(i+1));
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| bdcsvd.cpp | 42 typedef typename MatrixType::RealScalar RealScalar;
43 typedef Matrix<RealScalar, Size, 1> RealVecType;
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| inverse.cpp | 44 typedef typename NumTraits<Scalar>::Real RealScalar;
50 RealScalar det;
68 VERIFY_IS_MUCH_SMALLER_THAN(abs(det-m3.determinant()), RealScalar(1));
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| prec_inverse_4x4.cpp | 33 typedef typename MatrixType::RealScalar RealScalar;
38 RealScalar absdet;
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| product_trmv.cpp | 16 typedef typename NumTraits<Scalar>::Real RealScalar;
19 RealScalar largerEps = 10*test_precision<RealScalar>();
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| eigensolver_generic.cpp | 25 typedef typename NumTraits<Scalar>::Real RealScalar;
26 typedef Matrix<RealScalar, MatrixType::RowsAtCompileTime, 1> RealVectorType;
64 VERIFY_IS_APPROX(id.operatorNorm(), RealScalar(1));
69 a(0,0) = std::numeric_limits<typename MatrixType::RealScalar>::quiet_NaN();
85 VERIFY_IS_MUCH_SMALLER_THAN(ei3.eigenvalues().norm(),RealScalar(1));
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| jacobisvd.cpp | 64 typedef typename MatrixType::RealScalar RealScalar;
65 typedef Matrix<RealScalar, Size, 1> RealVecType;
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| linearstructure.cpp | 24 typedef typename MatrixType::RealScalar RealScalar;
36 while (abs(s1)<RealScalar(1e-3)) s1 = internal::random<Scalar>();
80 typedef typename MatrixType::RealScalar RealScalar;
82 RealScalar s = internal::random<RealScalar>();
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| array.cpp | 16 typedef typename ArrayType::RealScalar RealScalar;
113 ArrayType exponents = ArrayType::Constant(rows, cols, RealScalar(2));
135 typedef typename NumTraits<Scalar>::Real RealScalar;
192 VERIFY(((m1.abs()+1)>RealScalar(0.1)).count() == rows*cols);
195 VERIFY( (m1<RealScalar(0) && m1>RealScalar(0)).count() == 0);
196 VERIFY( (m1<RealScalar(0) || m1>=RealScalar(0)).count() == rows*cols);
197 RealScalar a = m1.abs().mean()
[all...] |
| /external/eigen/Eigen/src/SparseLU/ |
| SparseLUImpl.h | 27 typedef typename ScalarVector::RealScalar RealScalar;
43 Index pivotL(const Index jcol, const RealScalar& diagpivotthresh, IndexVector& perm_r, IndexVector& iperm_c, Index& pivrow, GlobalLU_t& glu);
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| /external/eigen/Eigen/src/Geometry/ |
| OrthoMethods.h | 144 typedef typename NumTraits<Scalar>::Real RealScalar;
155 RealScalar invnm = RealScalar(1)/(Vector2() << src.coeff(sndi),src.coeff(maxi)).finished().norm();
168 typedef typename NumTraits<Scalar>::Real RealScalar;
183 RealScalar invnm = RealScalar(1)/src.template head<2>().norm();
194 RealScalar invnm = RealScalar(1)/src.template tail<2>().norm();
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| ParametrizedLine.h | 39 typedef typename NumTraits<Scalar>::Real RealScalar;
82 EIGEN_DEVICE_FUNC RealScalar squaredDistance(const VectorType& p) const
90 EIGEN_DEVICE_FUNC RealScalar distance(const VectorType& p) const { EIGEN_USING_STD_MATH(sqrt) return sqrt(squaredDistance(p)); }
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| Umeyama.h | 99 typedef typename NumTraits<Scalar>::Real RealScalar;
115 const RealScalar one_over_n = RealScalar(1) / static_cast<RealScalar>(n);
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| /external/eigen/Eigen/src/Jacobi/ |
| Jacobi.h | 37 typedef typename NumTraits<Scalar>::Real RealScalar;
66 bool makeJacobi(const RealScalar& x, const Scalar& y, const RealScalar& z);
83 bool JacobiRotation<Scalar>::makeJacobi(const RealScalar& x, const Scalar& y, const RealScalar& z)
87 typedef typename NumTraits<Scalar>::Real RealScalar;
88 RealScalar deno = RealScalar(2)*abs(y);
89 if(deno < (std::numeric_limits<RealScalar>::min)())
97 RealScalar tau = (x-z)/deno
[all...] |
| /external/eigen/Eigen/src/SparseCore/ |
| SparseSparseProductWithPruning.h | 20 static void sparse_sparse_product_with_pruning_impl(const Lhs& lhs, const Rhs& rhs, ResultType& res, const typename ResultType::RealScalar& tolerance)
89 typedef typename ResultType::RealScalar RealScalar;
91 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
102 typedef typename ResultType::RealScalar RealScalar;
103 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance)
116 typedef typename ResultType::RealScalar RealScalar;
117 static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const RealScalar& tolerance
[all...] |
| /external/eigen/unsupported/test/ |
| matrix_exponential.cpp | 107 typedef typename NumTraits<typename internal::traits<MatrixType>::Scalar>::Real RealScalar;
114 VERIFY(identity.isApprox(m2, static_cast<RealScalar>(tol)));
118 VERIFY(identity.isApprox(m2, static_cast<RealScalar>(tol)));
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| /external/eigen/Eigen/src/Core/ |
| ArrayBase.h | 52 typedef typename NumTraits<Scalar>::Real RealScalar;
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| ConditionEstimator.h | 21 return (v_abs.array() == static_cast<typename Vector::RealScalar>(0))
30 return (v.array() < static_cast<typename Vector::RealScalar>(0))
56 typename Decomposition::RealScalar rcond_invmatrix_L1_norm_estimate(const Decomposition& dec)
60 typedef typename Decomposition::RealScalar RealScalar;
62 typedef typename internal::plain_col_type<MatrixType, RealScalar>::type RealVector;
84 RealScalar lower_bound = v.template lpNorm<1>();
91 RealScalar old_lower_bound = lower_bound;
133 Scalar alternating_sign(RealScalar(1));
135 // The static_cast is needed when Scalar is a complex and RealScalar implements expression template
[all...] |
| Dot.h | 125 RealScalar z = n.squaredNorm();
127 if(z>RealScalar(0))
144 RealScalar z = squaredNorm();
146 if(z>RealScalar(0))
168 RealScalar w = n.cwiseAbs().maxCoeff();
169 RealScalar z = (n/w).squaredNorm();
170 if(z>RealScalar(0))
190 RealScalar w = cwiseAbs().maxCoeff();
191 RealScalar z = (derived()/w).squaredNorm();
192 if(z>RealScalar(0)
[all...] |
| /external/eigen/Eigen/src/IterativeLinearSolvers/ |
| BasicPreconditioners.h | 131 typedef typename NumTraits<Scalar>::Real RealScalar;
157 RealScalar sum = mat.innerVector(j).squaredNorm();
159 m_invdiag(j) = RealScalar(1)/sum;
161 m_invdiag(j) = RealScalar(1);
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| /external/eigen/bench/ |
| geometry.cpp | 18 typedef NumTraits<Scalar>::Real RealScalar;
19 typedef Matrix<RealScalar,Dynamic,Dynamic> A;
22 typedef Matrix<RealScalar,Dynamic,Dynamic> M;
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| /external/eigen/doc/examples/ |
| matrixfree_cg.cpp | 25 typedef double RealScalar;
|
