5 #include <dune/common/ftraits.hh> 7 #include <amdis/Output.hpp> 8 #include <amdis/algorithm/ForEach.hpp> 9 #include <amdis/algorithm/Transform.hpp> 10 #include <amdis/common/FakeContainer.hpp> 11 #include <amdis/linearalgebra/VectorBase.hpp> 12 #include <amdis/typetree/MultiIndex.hpp> 16 class DefaultIndexDistribution;
38 using field_type =
typename Dune::FieldTraits<value_type>::field_type;
59 return vector_.size();
64 template <
class Basis>
65 void init(Basis
const& basis,
bool clear)
67 vector_.resize(basis.dimension());
74 template <
class MultiIndex>
78 test_exit_dbg(i <
size(),
"Index {} out of range [0,{})", i,
size());
79 return vector_.coeffRef(i);
83 template <
class MultiIndex>
87 test_exit_dbg(i <
size(),
"Index {} out of range [0,{})", i,
size());
88 return vector_.coeff(i);
value_type const & at(MultiIndex const &idx) const
Access the entry i of the vector with read-access.
Definition: VectorBackend.hpp:84
constexpr bool MultiIndex
A multi-index type.
Definition: Concepts.hpp:149
typename BaseVector::Scalar value_type
The type of the elements of the DOFVector.
Definition: VectorBackend.hpp:28
BaseVector & vector()
Return the data-vector vector_.
Definition: VectorBackend.hpp:51
Eigen::Matrix< T, Eigen::Dynamic, 1 > BaseVector
The type of the base vector.
Definition: VectorBackend.hpp:25
Definition: ForEach.hpp:17
value_type & at(MultiIndex const &idx)
Access the entry i of the vector with write-access.
Definition: VectorBackend.hpp:75
Definition: AdaptBase.hpp:6
General implementation of recursive inner-product.
Definition: InnerProduct.hpp:16
The basic container that stores a base vector and a corresponding basis.
Definition: VectorBackend.hpp:20
void init(Basis const &basis, bool clear)
Resize the vector_ to the size s.
Definition: VectorBackend.hpp:65
typename BaseVector::Index size_type
The index/size - type.
Definition: VectorBackend.hpp:31
CRTP base class for flat vector backends.
Definition: VectorBase.hpp:18
EigenVector(DefaultIndexDistribution const &)
Constructor. Constructs new BaseVector.
Definition: VectorBackend.hpp:42
BaseVector const & vector() const
Return the data-vector vector_.
Definition: VectorBackend.hpp:45
Dummy implementation for sequential index "distribution".
Definition: IndexDistribution.hpp:6
size_type size() const
Return the current size of the vector_.
Definition: VectorBackend.hpp:57