DUNE PDELab (git)

A dense n x m matrix. More...

#include <dune/common/densematrix.hh>

Public Types

typedef Traits::derived_type derived_type
 type of derived matrix class
 
typedef Traits::value_type value_type
 export the type representing the field
 
typedef Traits::value_type field_type
 export the type representing the field
 
typedef Traits::value_type block_type
 export the type representing the components
 
typedef Traits::size_type size_type
 The type used for the index access and size operation.
 
typedef Traits::row_type row_type
 The type used to represent a row (must fulfill the Dune::DenseVector interface)
 
typedef Traits::row_reference row_reference
 The type used to represent a reference to a row (usually row_type &)
 
typedef Traits::const_row_reference const_row_reference
 The type used to represent a reference to a constant row (usually const row_type &)
 
typedef DenseIterator< DenseMatrix, row_type, row_referenceIterator
 Iterator class for sequential access.
 
typedef Iterator iterator
 typedef for stl compliant access
 
typedef Iterator RowIterator
 rename the iterators for easier access
 
typedef std::remove_reference< row_reference >::type::Iterator ColIterator
 rename the iterators for easier access
 
typedef DenseIterator< const DenseMatrix, const row_type, const_row_referenceConstIterator
 Iterator class for sequential access.
 
typedef ConstIterator const_iterator
 typedef for stl compliant access
 
typedef ConstIterator ConstRowIterator
 rename the iterators for easier access
 
typedef std::remove_reference< const_row_reference >::type::ConstIterator ConstColIterator
 rename the iterators for easier access
 

Public Member Functions

row_reference operator[] (size_type i)
 random access
 
size_type size () const
 size method (number of rows)
 
Iterator begin ()
 begin iterator
 
Iterator end ()
 end iterator
 
Iterator beforeEnd ()
 
Iterator beforeBegin ()
 
ConstIterator begin () const
 begin iterator
 
ConstIterator end () const
 end iterator
 
ConstIterator beforeEnd () const
 
ConstIterator beforeBegin () const
 
template<class Other >
derived_typeoperator+= (const DenseMatrix< Other > &x)
 vector space addition
 
derived_type operator- () const
 Matrix negation.
 
template<class Other >
derived_typeoperator-= (const DenseMatrix< Other > &x)
 vector space subtraction
 
derived_typeoperator*= (const field_type &k)
 vector space multiplication with scalar
 
derived_typeoperator/= (const field_type &k)
 vector space division by scalar
 
template<class Other >
derived_typeaxpy (const field_type &a, const DenseMatrix< Other > &x)
 vector space axpy operation (*this += a x)
 
template<class Other >
bool operator== (const DenseMatrix< Other > &x) const
 Binary matrix comparison.
 
template<class Other >
bool operator!= (const DenseMatrix< Other > &x) const
 Binary matrix incomparison.
 
template<class X , class Y >
void mv (const X &x, Y &y) const
 y = A x
 
template<class X , class Y >
void mtv (const X &x, Y &y) const
 y = A^T x
 
template<class X , class Y >
void umv (const X &x, Y &y) const
 y += A x
 
template<class X , class Y >
void umtv (const X &x, Y &y) const
 y += A^T x
 
template<class X , class Y >
void umhv (const X &x, Y &y) const
 y += A^H x
 
template<class X , class Y >
void mmv (const X &x, Y &y) const
 y -= A x
 
template<class X , class Y >
void mmtv (const X &x, Y &y) const
 y -= A^T x
 
template<class X , class Y >
void mmhv (const X &x, Y &y) const
 y -= A^H x
 
template<class X , class Y >
void usmv (const typename FieldTraits< Y >::field_type &alpha, const X &x, Y &y) const
 y += alpha A x
 
template<class X , class Y >
void usmtv (const typename FieldTraits< Y >::field_type &alpha, const X &x, Y &y) const
 y += alpha A^T x
 
template<class X , class Y >
void usmhv (const typename FieldTraits< Y >::field_type &alpha, const X &x, Y &y) const
 y += alpha A^H x
 
FieldTraits< value_type >::real_type frobenius_norm () const
 frobenius norm: sqrt(sum over squared values of entries)
 
FieldTraits< value_type >::real_type frobenius_norm2 () const
 square of frobenius norm, need for block recursion
 
template<typename vt = value_type, typename std::enable_if<!HasNaN< vt >::value, int >::type = 0>
FieldTraits< vt >::real_type infinity_norm () const
 infinity norm (row sum norm, how to generalize for blocks?)
 
template<typename vt = value_type, typename std::enable_if<!HasNaN< vt >::value, int >::type = 0>
FieldTraits< vt >::real_type infinity_norm_real () const
 simplified infinity norm (uses Manhattan norm for complex values)
 
template<typename vt = value_type, typename std::enable_if< HasNaN< vt >::value, int >::type = 0>
FieldTraits< vt >::real_type infinity_norm () const
 infinity norm (row sum norm, how to generalize for blocks?)
 
template<typename vt = value_type, typename std::enable_if< HasNaN< vt >::value, int >::type = 0>
FieldTraits< vt >::real_type infinity_norm_real () const
 simplified infinity norm (uses Manhattan norm for complex values)
 
template<class V1 , class V2 >
void solve (V1 &x, const V2 &b, bool doPivoting=true) const
 Solve system A x = b. More...
 
void invert (bool doPivoting=true)
 Compute inverse. More...
 
field_type determinant (bool doPivoting=true) const
 calculates the determinant of this matrix
 
template<typename M2 >
MAT & leftmultiply (const DenseMatrix< M2 > &M)
 Multiplies M from the left to this matrix.
 
template<typename M2 >
MAT & rightmultiply (const DenseMatrix< M2 > &M)
 Multiplies M from the right to this matrix.
 
constexpr size_type N () const
 number of rows
 
constexpr size_type M () const
 number of columns
 
constexpr size_type rows () const
 number of rows
 
constexpr size_type cols () const
 number of columns
 
bool exists (size_type i, size_type j) const
 return true when (i,j) is in pattern
 

Static Public Attributes

static constexpr int blocklevel = 1
 The number of block levels we contain. This is the leaf, that is, 1.
 

Static Protected Member Functions

template<class Func , class Mask >
static void luDecomposition (DenseMatrix< MAT > &A, Func func, Mask &nonsingularLanes, bool throwEarly, bool doPivoting)
 do an LU-Decomposition on matrix A More...
 

Detailed Description

template<typename MAT>
class Dune::DenseMatrix< MAT >

A dense n x m matrix.

Matrices represent linear maps from a vector space V to a vector space W. This class represents such a linear map by storing a two-dimensional array of numbers of a given field type K. The number of rows and columns is given at compile time.

Template Parameters
MATtype of the matrix implementation

Member Function Documentation

◆ beforeBegin() [1/2]

template<typename MAT >
Iterator Dune::DenseMatrix< MAT >::beforeBegin ( )
inline
Returns
an iterator that is positioned before the first entry of the vector.

◆ beforeBegin() [2/2]

template<typename MAT >
ConstIterator Dune::DenseMatrix< MAT >::beforeBegin ( ) const
inline
Returns
an iterator that is positioned before the first entry of the vector.

◆ beforeEnd() [1/2]

template<typename MAT >
Iterator Dune::DenseMatrix< MAT >::beforeEnd ( )
inline
Returns
an iterator that is positioned before the end iterator of the vector, i.e. at the last entry.

References Dune::DenseMatrix< MAT >::rows().

◆ beforeEnd() [2/2]

template<typename MAT >
ConstIterator Dune::DenseMatrix< MAT >::beforeEnd ( ) const
inline
Returns
an iterator that is positioned before the end iterator of the vector. i.e. at the last element

References Dune::DenseMatrix< MAT >::rows().

◆ invert()

template<typename MAT >
void Dune::DenseMatrix< MAT >::invert ( bool  doPivoting = true)

Compute inverse.

Exceptions
FMatrixErrorif the matrix is singular

◆ luDecomposition()

template<typename MAT >
template<class Func , class Mask >
static void Dune::DenseMatrix< MAT >::luDecomposition ( DenseMatrix< MAT > &  A,
Func  func,
Mask &  nonsingularLanes,
bool  throwEarly,
bool  doPivoting 
)
staticprotected

do an LU-Decomposition on matrix A

Parameters
AThe matrix to decompose, and to store the result in.
funcFunctor used for swapping lanes and to conduct the elimination. Depending on the functor, luDecomposition() can be used for solving, for inverting, or to compute the determinant.
nonsingularLanesSimdMask of lanes that are nonsingular.
throwEarlyWhether to throw an FMatrixError immediately as soon as one lane is discovered to be singular. If false, do not throw, instead continue until finished or all lanes are singular, and exit via return in both cases.
doPivotingEnable pivoting.

There are two modes of operation:

  • Terminate as soon as one lane is discovered to be singular. Early termination is done by throwing an FMatrixError. On entry, Simd::allTrue(nonsingularLanes) and throwEarly==true should hold. After early termination, the contents of A should be considered bogus, and nonsingularLanes has the lane(s) that triggered the early termination unset. There may be more singular lanes than the one reported in nonsingularLanes, which just haven't been discovered yet; so the value of nonsingularLanes is mostly useful for diagnostics.
  • Terminate only when all lanes are discovered to be singular. Use this when you want to apply special postprocessing in singular lines (e.g. setting the determinant of singular lanes to 0 in determinant()). On entry, nonsingularLanes may have any value and throwEarly==false should hold. The function will not throw an exception if some lanes are discovered to be singular, instead it will continue running until all lanes are singular or until finished, and terminate only via normal return. On exit, nonsingularLanes contains the map of lanes that are valid in A.

◆ solve()

template<typename MAT >
template<class V1 , class V2 >
void Dune::DenseMatrix< MAT >::solve ( V1 &  x,
const V2 &  b,
bool  doPivoting = true 
) const

Solve system A x = b.

Exceptions
FMatrixErrorif the matrix is singular

The documentation for this class was generated from the following file:
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