| /external/eigen/Eigen/src/PardisoSupport/ |
| PardisoSupport.h | 73 typedef typename _MatrixType::Scalar Scalar;
82 typedef typename _MatrixType::Scalar Scalar;
91 typedef typename _MatrixType::Scalar Scalar;
104 typedef typename Traits::Scalar Scalar;
107 typedef SparseMatrix<Scalar,RowMajor,Index> SparseMatrixType;
108 typedef Matrix<Scalar,Dynamic,1> VectorType
[all...] |
| /external/eigen/Eigen/src/SVD/ |
| UpperBidiagonalization.h | 29 typedef typename MatrixType::Scalar Scalar;
32 typedef Matrix<Scalar, 1, ColsAtCompileTime> RowVectorType;
33 typedef Matrix<Scalar, RowsAtCompileTime, 1> ColVectorType;
35 typedef Matrix<Scalar, ColsAtCompileTime, 1> DiagVectorType;
36 typedef Matrix<Scalar, ColsAtCompileTimeMinusOne, 1> SuperDiagVectorType;
39 CwiseUnaryOp<internal::scalar_conjugate_op<Scalar>, const Diagonal<const MatrixType,0> >
|
| /external/eigen/Eigen/src/SparseCore/ |
| AmbiVector.h | 26 typedef _Scalar Scalar;
28 typedef typename NumTraits<Scalar>::Real RealScalar;
47 Scalar& coeffRef(Index i);
48 Scalar& coeff(Index i);
72 Index allocSize = (size * sizeof(ListEl))/sizeof(Scalar);
73 m_allocatedElements = (allocSize*sizeof(Scalar))/sizeof(ListEl);
74 m_buffer = new Scalar[allocSize];
78 m_allocatedElements = (size*sizeof(Scalar))/sizeof(ListEl);
79 m_buffer = new Scalar[size];
91 allocSize = allocSize/sizeof(Scalar) + (allocSize%sizeof(Scalar)>0?1:0)
[all...] |
| CompressedStorage.h | 26 typedef _Scalar Scalar;
31 typedef typename NumTraits<Scalar>::Real RealScalar;
54 memcpy(m_values, other.m_values, m_size * sizeof(Scalar));
93 void append(const Scalar& v, Index i)
105 inline Scalar& value(size_t i) { return m_values[i]; }
106 inline const Scalar& value(size_t i) const { return m_values[i]; }
111 static CompressedStorage Map(Index* indices, Scalar* values, size_t size)
142 inline Scalar at(Index key, Scalar defaultValue = Scalar(0)) cons
[all...] |
| SparseCwiseBinaryOp.h | 97 typedef typename traits<CwiseBinaryXpr>::Scalar Scalar;
124 m_value = m_functor(m_lhsIter.value(), Scalar(0));
130 m_value = m_functor(Scalar(0), m_rhsIter.value());
141 EIGEN_STRONG_INLINE Scalar value() const { return m_value; }
153 Scalar m_value;
163 typedef typename CwiseBinaryXpr::Scalar Scalar;
197 EIGEN_STRONG_INLINE Scalar value() const { return m_functor(m_lhsIter.value(), m_rhsIter.value()); }
217 typedef typename CwiseBinaryXpr::Scalar Scalar
[all...] |
| SparseDiagonalProduct.h | 19 // => each inner vector <=> scalar * sparse vector product
34 typedef typename _Lhs::Scalar Scalar;
105 : public CwiseUnaryOp<scalar_multiple_op<typename Lhs::Scalar>,const Rhs>::InnerIterator
107 typedef typename CwiseUnaryOp<scalar_multiple_op<typename Lhs::Scalar>,const Rhs>::InnerIterator Base;
120 scalar_product_op<typename Lhs::Scalar>,
125 scalar_product_op<typename Lhs::Scalar>,
139 : public CwiseUnaryOp<scalar_multiple_op<typename Rhs::Scalar>,const Lhs>::InnerIterator
141 typedef typename CwiseUnaryOp<scalar_multiple_op<typename Rhs::Scalar>,const Lhs>::InnerIterator Base;
154 scalar_product_op<typename Rhs::Scalar>,
[all...] |
| /external/eigen/bench/ |
| 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...] |
| eig33.cpp | 51 typedef typename Matrix::Scalar Scalar;
52 const Scalar s_inv3 = 1.0/3.0;
53 const Scalar s_sqrt3 = internal::sqrt(Scalar(3.0));
58 Scalar c0 = m(0,0)*m(1,1)*m(2,2) + Scalar(2)*m(0,1)*m(0,2)*m(1,2) - m(0,0)*m(1,2)*m(1,2) - m(1,1)*m(0,2)*m(0,2) - m(2,2)*m(0,1)*m(0,1);
59 Scalar c1 = m(0,0)*m(1,1) - m(0,1)*m(0,1) + m(0,0)*m(2,2) - m(0,2)*m(0,2) + m(1,1)*m(2,2) - m(1,2)*m(1,2);
60 Scalar c2 = m(0,0) + m(1,1) + m(2,2);
64 Scalar c2_over_3 = c2*s_inv3
[all...] |
| quat_slerp.cpp | 11 EIGEN_DONT_INLINE Q nlerp(const Q& a, const Q& b, typename Q::Scalar t)
17 EIGEN_DONT_INLINE Q slerp_eigen(const Q& a, const Q& b, typename Q::Scalar t)
23 EIGEN_DONT_INLINE Q slerp_legacy(const Q& a, const Q& b, typename Q::Scalar t)
25 typedef typename Q::Scalar Scalar;
26 static const Scalar one = Scalar(1) - dummy_precision<Scalar>();
27 Scalar d = a.dot(b);
28 Scalar absD = internal::abs(d)
[all...] |
| /external/eigen/blas/ |
| common.h | 16 #ifndef SCALAR
17 #error the token SCALAR must be defined to compile this file
81 typedef SCALAR Scalar;
82 typedef NumTraits<Scalar>::Real RealScalar;
87 IsComplex = Eigen::NumTraits<SCALAR>::IsComplex,
91 typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> PlainMatrixType;
92 typedef Map<Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > MatrixType;
93 typedef Map<Matrix<Scalar,Dynamic,1>, 0, InnerStride<Dynamic> > StridedVectorType;
94 typedef Map<Matrix<Scalar,Dynamic,1> > CompactVectorType
[all...] |
| /external/eigen/test/ |
| array_for_matrix.cpp | 15 typedef typename MatrixType::Scalar Scalar;
16 typedef typename NumTraits<Scalar>::Real RealScalar;
17 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> ColVectorType;
18 typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
30 Scalar s1 = internal::random<Scalar>(),
31 s2 = internal::random<Scalar>();
33 // scalar addition
36 VERIFY_IS_APPROX(((m1*Scalar(2)).array() - s2).matrix(), (m1+m1) - MatrixType::Constant(rows,cols,s2) )
[all...] |
| basicstuff.cpp | 17 typedef typename MatrixType::Scalar Scalar;
18 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
19 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType;
30 square = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime>::Random(rows, rows);
35 Scalar x = 0;
36 while(x == Scalar(0)) x = internal::random<Scalar>();
55 if(!NumTraits<Scalar>::IsInteger)
71 VERIFY_IS_MUCH_SMALLER_THAN(MatrixType::Zero(rows,cols)(r,c), static_cast<Scalar>(1))
[all...] |
| block.cpp | 16 typedef typename MatrixType::Scalar Scalar;
18 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
19 typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
20 typedef Matrix<Scalar, Dynamic, Dynamic> DynamicMatrixType;
21 typedef Matrix<Scalar, Dynamic, 1> DynamicVectorType;
33 Scalar s1 = internal::random<Scalar>();
48 VERIFY_IS_APPROX(m1.row(r1), m1_copy.row(r1) + Scalar(2) * s1 * m1_copy.row(r2));
53 VERIFY_IS_APPROX(m1.col(c1), m1_copy.col(c1) + Scalar(2) * s1 * m1_copy.col(c2))
[all...] |
| cholesky.cpp | 31 typedef typename MatrixType::Scalar Scalar;
33 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
70 typedef typename MatrixType::Scalar Scalar;
71 typedef typename NumTraits<Scalar>::Real RealScalar;
72 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType;
73 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
195 // test mixing real/scalar types
202 typedef typename MatrixType::Scalar Scalar
[all...] |
| geo_alignedbox.cpp | 24 typedef typename BoxType::Scalar Scalar;
25 typedef typename NumTraits<Scalar>::Real RealScalar;
26 typedef Matrix<Scalar, BoxType::AmbientDimAtCompileTime, 1> VectorType;
42 VERIFY(b0.contains(p0*s1+(Scalar(1)-s1)*p1));
73 typedef typename BoxType::Scalar Scalar;
74 typedef typename NumTraits<Scalar>::Real RealScalar;
75 typedef Matrix<Scalar, BoxType::AmbientDimAtCompileTime, 1> VectorType;
88 typedef typename GetDifferentType<Scalar>::type OtherScalar
[all...] |
| geo_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,
28 typedef Hyperplane<Scalar,LineType::AmbientDimAtCompileTime> HyperplaneType;
37 Scalar s0 = internal::random<Scalar>();
38 Scalar s1 = internal::abs(internal::random<Scalar>());
[all...] |
| geo_quaternion.cpp | 26 typedef typename QuatType::Scalar Scalar;
27 typedef Matrix<Scalar,3,1> VectorType;
28 typedef AngleAxis<Scalar> AA;
30 Scalar largeEps = test_precision<Scalar>();
32 Scalar theta_tot = AA(q1*q0.inverse()).angle();
35 for(Scalar t=0; t<=1.001; t+=0.1)
38 Scalar theta = AA(q*q0.inverse()).angle();
45 template<typename Scalar, int Options> void quaternion(void
[all...] |
| nomalloc.cpp | 32 typedef typename MatrixType::Scalar Scalar;
33 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
42 Scalar s1 = internal::random<Scalar>();
96 template<typename Scalar>
102 typedef Eigen::Matrix<Scalar,
107 typedef Eigen::Matrix<Scalar,
112 typedef Eigen::Matrix<std::complex<Scalar>,
|
| product_extra.cpp | 15 typedef typename MatrixType::Scalar Scalar;
16 typedef typename NumTraits<Scalar>::NonInteger NonInteger;
17 typedef Matrix<Scalar, 1, Dynamic> RowVectorType;
18 typedef Matrix<Scalar, Dynamic, 1> ColVectorType;
19 typedef Matrix<Scalar, Dynamic, Dynamic,
38 Scalar s1 = internal::random<Scalar>(),
39 s2 = internal::random<Scalar>(),
40 s3 = internal::random<Scalar>();
[all...] |
| sparse_basic.cpp | 19 typedef typename SparseMatrixType::Scalar Scalar;
23 typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
24 typedef Matrix<Scalar,Dynamic,1> DenseVector;
25 Scalar eps = 1e-6;
30 Scalar s1 = internal::random<Scalar>();
34 initSparse<Scalar>(density, refMat, m, 0, &zeroCoords, &nonzeroCoords);
43 if(internal::is_same<SparseMatrixType,SparseMatrix<Scalar,Flags> >::value)
48 m.coeffRef(nonzeroCoords[0].x(), nonzeroCoords[0].y()) = Scalar(5)
[all...] |
| sparse_product.cpp | 43 typedef typename SparseMatrixType::Scalar Scalar;
47 typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
48 typedef Matrix<Scalar,Dynamic,1> DenseVector;
50 Scalar s1 = internal::random<Scalar>();
51 Scalar s2 = internal::random<Scalar>();
126 DiagonalMatrix<Scalar,Dynamic> d1(DenseVector::Random(rows));
129 initSparse<Scalar>(density, refM2, m2)
[all...] |
| sparse_solver.h | 17 typedef typename Mat::Scalar Scalar;
39 VERIFY(x.isApprox(refX,test_precision<Scalar>()));
59 VERIFY(x.isApprox(refX,test_precision<Scalar>()));
68 VERIFY(x.isApprox(refX,test_precision<Scalar>()));
76 typedef typename Mat::Scalar Scalar;
104 if (res_error > test_precision<Scalar>() ){
115 typedef typename Mat::Scalar Scalar;
[all...] |
| /external/eigen/test/eigen2/ |
| eigen2_hyperplane.cpp | 23 typedef typename HyperplaneType::Scalar Scalar;
24 typedef typename NumTraits<Scalar>::Real RealScalar;
25 typedef Matrix<Scalar, HyperplaneType::AmbientDimAtCompileTime, 1> VectorType;
26 typedef Matrix<Scalar, HyperplaneType::AmbientDimAtCompileTime,
39 Scalar s0 = ei_random<Scalar>();
40 Scalar s1 = ei_random<Scalar>();
42 VERIFY_IS_APPROX( n1.eigen2_dot(n1), Scalar(1) )
[all...] |
| eigen2_sparse_basic.cpp | 12 template<typename SetterType,typename DenseType, typename Scalar, int Options>
13 bool test_random_setter(SparseMatrix<Scalar,Options>& sm, const DenseType& ref, const std::vector<Vector2i>& nonzeroCoords)
15 typedef SparseMatrix<Scalar,Options> SparseType;
50 typedef typename SparseMatrixType::Scalar Scalar;
54 typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix;
55 typedef Matrix<Scalar,Dynamic,1> DenseVector;
56 Scalar eps = 1e-6;
61 Scalar s1 = ei_random<Scalar>();
[all...] |
| eigen2_submatrices.cpp | 16 template<typename Scalar, int _Rows, int _Cols> struct CheckMinor
18 typedef Matrix<Scalar, _Rows, _Cols> MatrixType;
24 Matrix<Scalar, Dynamic, Dynamic> mi = m1.minor(0,0).eval();
33 template<typename Scalar> struct CheckMinor<Scalar,1,1>
35 typedef Matrix<Scalar, 1, 1> MatrixType;
44 typedef typename MatrixType::Scalar Scalar;
46 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
47 typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType
[all...] |
