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Searched
defs:RealScalar
(Results
1 - 25
of
134
) sorted by null
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/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)
/external/eigen/test/eigen2/
eigen2_inverse.cpp
23
typedef typename NumTraits<Scalar>::Real
RealScalar
;
31
while(ei_abs(m1.determinant()) <
RealScalar
(0.1) && rows <= 8)
eigen2_alignedbox.cpp
23
typedef typename NumTraits<Scalar>::Real
RealScalar
;
28
RealScalar
s1 = ei_random<
RealScalar
>(0,1);
eigen2_parametrizedline.cpp
24
typedef typename NumTraits<Scalar>::Real
RealScalar
;
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) );
eigen2_prec_inverse_4x4.cpp
32
typedef typename MatrixType::
RealScalar
RealScalar
;
51
typedef typename MatrixType::
RealScalar
RealScalar
;
56
RealScalar
absdet;
eigen2_svd.cpp
22
typedef typename NumTraits<Scalar>::Real
RealScalar
;
28
RealScalar
largerEps = test_precision<
RealScalar
>();
29
if (ei_is_same_type<
RealScalar
,float>::ret)
44
if (ei_is_same_type<
RealScalar
,float>::ret)
eigen2_array.cpp
20
typedef typename NumTraits<Scalar>::Real
RealScalar
;
55
typedef typename NumTraits<Scalar>::Real
RealScalar
;
102
VERIFY(((m1.cwise().abs().cwise()+1).cwise()>
RealScalar
(0.1)).count() == rows*cols);
103
VERIFY_IS_APPROX(((m1.cwise().abs().cwise()+1).cwise()>
RealScalar
(0.1)).colwise().count().template cast<int>(), RowVectorXi::Constant(cols,rows));
104
VERIFY_IS_APPROX(((m1.cwise().abs().cwise()+1).cwise()>
RealScalar
(0.1)).rowwise().count().template cast<int>(), VectorXi::Constant(rows, cols));
114
VERIFY_IS_APPROX(ei_pow(u.template lpNorm<5>(), typename VectorType::
RealScalar
(5)), u.cwise().abs().cwise().pow(5).sum());
eigen2_lu.cpp
16
typedef typename Derived::
RealScalar
RealScalar
;
19
RealScalar
d = Eigen::ei_random<
RealScalar
>(-1,1);
82
typedef typename NumTraits<typename MatrixType::Scalar>::Real
RealScalar
;
88
if (ei_is_same_type<
RealScalar
,float>::ret)
/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);
bandmatrix.cpp
16
typedef typename NumTraits<Scalar>::Real
RealScalar
;
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));
eigensolver_complex.cpp
21
typedef typename NumTraits<typename VectorType::Scalar>::Real
RealScalar
;
28
VERIFY_IS_APPROX(vec1.array().pow(
RealScalar
(k)).sum(), vec2.array().pow(
RealScalar
(k)).sum());
43
typedef typename NumTraits<Scalar>::Real
RealScalar
;
80
VERIFY_IS_APPROX(id.operatorNorm(),
RealScalar
(1));
85
a(0,0) = std::numeric_limits<typename MatrixType::
RealScalar
>::quiet_NaN();
inverse.cpp
44
typedef typename NumTraits<Scalar>::Real
RealScalar
;
50
RealScalar
det;
68
VERIFY_IS_MUCH_SMALLER_THAN(abs(det-m3.determinant()),
RealScalar
(1));
prec_inverse_4x4.cpp
33
typedef typename MatrixType::
RealScalar
RealScalar
;
38
RealScalar
absdet;
product_trmv.cpp
16
typedef typename NumTraits<Scalar>::Real
RealScalar
;
19
RealScalar
largerEps = 10*test_precision<
RealScalar
>();
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();
eigensolver_selfadjoint.cpp
25
typedef typename NumTraits<Scalar>::Real
RealScalar
;
27
RealScalar
largerEps = 10*test_precision<
RealScalar
>();
83
VERIFY_IS_APPROX(id.template selfadjointView<Lower>().operatorNorm(),
RealScalar
(1));
105
symmA(0,0) = std::numeric_limits<typename MatrixType::
RealScalar
>::quiet_NaN();
redux.cpp
16
typedef typename MatrixType::
RealScalar
RealScalar
;
25
MatrixType m1_for_prod = MatrixType::Ones(rows, cols) +
RealScalar
(0.2) * m1;
38
const Scalar mean = s/Scalar(
RealScalar
(rows*cols));
67
typedef typename NumTraits<Scalar>::Real
RealScalar
;
76
RealScalar
minc(numext::real(v.coeff(0))), maxc(numext::real(v.coeff(0)));
93
RealScalar
minc(numext::real(v.coeff(i))), maxc(numext::real(v.coeff(i)));
110
RealScalar
minc(numext::real(v.coeff(i))), maxc(numext::real(v.coeff(i)));
vectorwiseop.cpp
120
typedef typename NumTraits<Scalar>::Real
RealScalar
;
123
typedef Matrix<
RealScalar
, MatrixType::RowsAtCompileTime, 1> RealColVectorType;
124
typedef Matrix<
RealScalar
, 1, MatrixType::ColsAtCompileTime> RealRowVectorType;
/external/eigen/Eigen/src/SparseLU/
SparseLUImpl.h
25
typedef typename ScalarVector::
RealScalar
RealScalar
;
41
Index pivotL(const Index jcol, const
RealScalar
& diagpivotthresh, IndexVector& perm_r, IndexVector& iperm_c, Index& pivrow, GlobalLU_t& glu);
/external/eigen/Eigen/src/Core/
Dot.h
166
typedef typename NumTraits<typename traits<Derived>::Scalar>::Real
RealScalar
;
167
static inline
RealScalar
run(const MatrixBase<Derived>& m)
170
return pow(m.cwiseAbs().array().pow(p).sum(),
RealScalar
(1)/p);
228
(const MatrixBase<OtherDerived>& other, const
RealScalar
& prec) const
247
bool MatrixBase<Derived>::isUnitary(const
RealScalar
& prec) const
252
if(!internal::isApprox(nested.col(i).squaredNorm(), static_cast<
RealScalar
>(1), prec))
ArrayBase.h
56
typedef typename NumTraits<Scalar>::Real
RealScalar
;
/external/eigen/Eigen/src/Geometry/
OrthoMethods.h
132
typedef typename NumTraits<Scalar>::Real
RealScalar
;
143
RealScalar
invnm =
RealScalar
(1)/(Vector2() << src.coeff(sndi),src.coeff(maxi)).finished().norm();
156
typedef typename NumTraits<Scalar>::Real
RealScalar
;
170
RealScalar
invnm =
RealScalar
(1)/src.template head<2>().norm();
181
RealScalar
invnm =
RealScalar
(1)/src.template tail<2>().norm();
/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
;
96
RealScalar
tau = (x-z)/(
RealScalar
(2)*abs(y));
97
RealScalar
w = sqrt(numext::abs2(tau) +
RealScalar
(1))
[
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)
86
typedef typename ResultType::
RealScalar
RealScalar
;
88
static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const
RealScalar
& tolerance)
99
typedef typename ResultType::
RealScalar
RealScalar
;
100
static void run(const Lhs& lhs, const Rhs& rhs, ResultType& res, const
RealScalar
& tolerance)
113
typedef typename ResultType::
RealScalar
RealScalar
;
114
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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