HLIBpro 3.1
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TUniformMatrix< T_value > Class Template Reference

Represents low rank matrices as uniform matrix: \(M = V S W^H\), where \(V\) and \(W\) are cluster bases and \(S\) holds the corresponding coefficients.

#include <TUniformMatrix.hh>

Inheritance diagram for TUniformMatrix< T_value >:
TMatrix< T_value > TLinearOperator< T_value > TLockable TTypeInfo

Public Member Functions

 TUniformMatrix ()
 default constructor
 
 TUniformMatrix (const TBlockIndexSet &block_is, const TClusterBasis< value_t > *row_cb, const TClusterBasis< value_t > *col_cb, const BLAS::Matrix< value_t > &S)
 
 TUniformMatrix (const TUniformMatrix< value_t > &A)
 copy constructor
 
 ~TUniformMatrix ()
 dtor
 
virtual size_t rows () const
 return number of rows
 
virtual size_t cols () const
 return number of columns
 
void set_size (const size_t n, const size_t m)
 set size of matrix
 
size_t row_rank () const
 return row rank of matrix
 
size_t col_rank () const
 return column rank of matrix
 
const TClusterBasis< value_t > * row_cb () const
 return row cluster basis
 
const TClusterBasis< value_t > * col_cb () const
 return column cluster basis
 
void set_rank (const size_t row_rank, const size_t col_rank)
 
void assign_cb (const TClusterBasis< value_t > *row_cb, const TClusterBasis< value_t > *col_cb)
 
value_t entry (const idx_t i, const idx_t j) const
 return real valued coefficent (i, j) of matrix
 
const BLAS::Matrix< value_t > & coeff () const
 return basis coefficients
 
virtual void transpose ()
 transpose matrix
 
virtual void conjugate ()
 conjugate matrix coefficients
 
virtual void truncate (const TTruncAcc &acc)
 truncate matrix w.r.t. accuracy acc
 
virtual void scale (const value_t f)
 scale matrix by constant factor
 
virtual void mul_vec (const value_t alpha, const TVector< value_t > *x, const value_t beta, TVector< value_t > *y, const matop_t op=apply_normal) const
 compute y ≔ α·M·x + β·y, where M is either this, this^T or this^H depending on op
 
virtual void add (const value_t alpha, const TMatrix< value_t > *A)
 compute this = this + α·A without truncation
 
virtual TMatrix< value_t > * mul_right (const value_t alpha, const TMatrix< value_t > *B, const matop_t op_A, const matop_t op_B) const
 compute matrix product α·op_A(this)·op_B(B)
 
virtual TMatrix< value_t > * mul_left (const value_t alpha, const TMatrix< value_t > *A, const matop_t op_A, const matop_t op_B) const
 compute matrix product α·op_A(A)·op_B(this)
 
virtual auto create () const -> std::unique_ptr< TMatrix< value_t > >
 return object of same type
 
virtual auto copy () const -> std::unique_ptr< TMatrix< value_t > >
 return copy of matrix
 
virtual auto copy (const TTruncAcc &acc, const bool do_coarsen=false) const -> std::unique_ptr< TMatrix< value_t > >
 return copy matrix wrt. given accuracy; if do_coarsen is set, perform coarsening
 
virtual auto copy_struct () const -> std::unique_ptr< TMatrix< value_t > >
 return structural copy of matrix
 
virtual void copy_to (TMatrix< value_t > *A) const
 copy matrix into matrix A
 
virtual void copy_to (TMatrix< value_t > *A, const TTruncAcc &acc, const bool do_coarsen=false) const
 copy matrix into matrix A with accuracy acc and optional coarsening
 
virtual size_t byte_size () const
 return size in bytes used by this object
 
virtual void read (TByteStream &s)
 read matrix from byte stream
 
virtual void build (TByteStream &s)
 construct matrix from byte stream
 
virtual void write (TByteStream &s) const
 write matrix into byte stream
 
virtual size_t bs_size () const
 return size of object in a bytestream
 
- Public Member Functions inherited from TMatrix< T_value >
 TMatrix ()
 construct zero sized matrix
 
 TMatrix (const TBlockCluster *bcl)
 construct matrix of size defined by block cluster bcl
 
 TMatrix (const TBlockIndexSet &bis)
 construct matrix of size defined by block index set bis
 
 TMatrix (const TMatrix< value_t > &A)
 copy constructor
 
virtual ~TMatrix ()
 dtor
 
int id () const
 return ID
 
void set_id (const int aid)
 set ID
 
virtual size_t nrows (const matop_t op) const
 return number of rows of op(M)
 
virtual size_t ncols (const matop_t op) const
 return number of columns of op(M)
 
TIndexSet row_is () const
 return row index set
 
TIndexSet col_is () const
 return column index set
 
TBlockIndexSet block_is () const
 return block index set
 
TIndexSet row_is (const matop_t op) const
 return row index set w.r.t. given matrix operation
 
TIndexSet col_is (const matop_t op) const
 return row index set w.r.t. given matrix operation
 
TBlockIndexSet block_is (const matop_t op) const
 return row index set w.r.t. given matrix operation
 
virtual idx_t row_ofs () const
 return first index (number) in row
 
virtual idx_t col_ofs () const
 return first index (number) in column
 
virtual void set_ofs (const idx_t r, const idx_t c)
 set index set offsets
 
virtual void set_block_is (const TBlockIndexSet &is)
 set block index set of matrix
 
bool is_nonsym () const
 return true if matrix is unsymmetric
 
bool is_symmetric () const
 return true if matrix is symmetric
 
bool is_hermitian () const
 return true if matrix is hermitian
 
matform_t form () const
 return matrix format
 
void set_nonsym ()
 set matrix to be unsymmetric
 
void set_symmetric ()
 set matrix to be symmetric
 
void set_hermitian ()
 set matrix to be hermitian
 
virtual void set_form (const matform_t f)
 set matrix format
 
virtual bool is_zero () const
 return true, if matrix is zero
 
virtual bool is_blocked () const
 return true, if matrix is blocked
 
virtual bool is_dense () const
 return true, if matrix is dense
 
virtual bool is_self_adjoint () const
 return true, if operator is self adjoint
 
const TProcSetprocs () const
 return matrix processor set
 
uint nprocs () const
 return number of processors in local set
 
virtual void set_procs (const TProcSet &ps, const recursion_type_t rec_type=nonrecursive)
 set processor set of matrix
 
bool is_distributed () const
 return true if matrix is distributed
 
template<typename T_value_M >
void copy_struct_from_all (const TMatrix< T_value_M > *M)
 
TUpdateAccumulator< value_t > & accumulator ()
 access accumulator object
 
void add_update (const TMatrix< value_t > *M, const TTruncAcc &acc)
 add update matrix
 
void add_pending_direct (TDirectMatrixUpdate< value_t > *U)
 add update U to set of recursive pending updates
 
void add_pending_recursive (TRecursiveMatrixUpdate< value_t > *U)
 add update U to set of recursive pending updates
 
virtual void apply_updates (const TTruncAcc &acc, const recursion_type_t rec_type)
 
virtual bool has_updates (const recursion_type_t recursion) const
 return true, if matrix has updates not yet applied
 
virtual bool has_parent_updates (const recursion_type_t recursion) const
 return true, if parent matrix has updates not yet applied
 
const TBlockClustercluster () const
 return corresponding block cluster of matrix
 
virtual void set_cluster (const TBlockCluster *c)
 set block cluster of matrix
 
virtual void set_cluster_force (const TBlockCluster *c)
 set block cluster of matrix (with forced setting of cluster variable)
 
virtual void apply (const TVector< value_t > *x, TVector< value_t > *y, const matop_t op=apply_normal) const
 
virtual void apply_add (const value_t alpha, const TVector< value_t > *x, TVector< value_t > *y, const matop_t op=apply_normal) const
 
virtual void apply_add (const value_t alpha, const BLAS::Vector< value_t > &x, BLAS::Vector< value_t > &y, const matop_t op=apply_normal) const
 
virtual size_t domain_dim () const
 return dimension of domain
 
virtual size_t range_dim () const
 return dimension of range
 
virtual auto domain_vector () const -> std::unique_ptr< TVector< value_t > >
 return vector in domain space
 
virtual auto range_vector () const -> std::unique_ptr< TVector< value_t > >
 return vector in range space
 
virtual size_t global_byte_size () const
 
virtual void copy_from (const TMatrix< value_t > *A)
 copy data from matrix A
 
virtual auto row_vector () const -> std::unique_ptr< TVector< value_t > >
 return appropriate row vector object for matrix
 
virtual auto col_vector () const -> std::unique_ptr< TVector< value_t > >
 return appropriate column vector object for matrix
 
virtual void sum (const TProcSet &p, const uint pid, const uint nparts, TByteStream *bs, const TTruncAcc &acc)
 
virtual void check_data () const
 test data for invalid values, e.g. INF and NAN
 
virtual void print (const uint ofs=0) const
 print basic info about matrix to stdout
 
- Public Member Functions inherited from TLinearOperator< T_value >
virtual bool is_complex () const
 return true, if field type is complex valued
 
virtual bool is_real () const
 return true, if field type is real valued
 
- Public Member Functions inherited from TTypeInfo
virtual typeid_t type () const =0
 return type ID of object
 
virtual bool is_type (const typeid_t t) const
 return true if local object is of given type ID t
 
virtual std::string typestr () const
 return string representation of type
 
- Public Member Functions inherited from TLockable
TMutexmutex ()
 give access to internal mutex
 
void lock ()
 lock local mutex
 
void unlock ()
 unlock local mutex
 
size_t byte_size () const
 return size in bytes used by this object
 

Constructor & Destructor Documentation

◆ TUniformMatrix()

template<typename T_value >
TUniformMatrix ( const TBlockIndexSet block_is,
const TClusterBasis< value_t > *  row_cb,
const TClusterBasis< value_t > *  col_cb,
const BLAS::Matrix< value_t > &  S 
)

construct uniform matrix over block_is with clusterbases row_cb and col_cb and coefficients stored in S

Member Function Documentation

◆ assign_cb()

template<typename T_value >
void assign_cb ( const TClusterBasis< value_t > *  row_cb,
const TClusterBasis< value_t > *  col_cb 
)

assign cluster bases

  • rank and value type of bases must be identical to corresponding dimension and value type of coefficient matrix

◆ set_rank()

template<typename T_value >
void set_rank ( const size_t  row_rank,
const size_t  col_rank 
)

set ranks of matrix

  • has to be identical with current or future cluster bases rank!