12#ifndef ROOT_TMatrixTSparse
13#define ROOT_TMatrixTSparse
21#include <vecLib/vBLAS.h>
34template<
class Element>
class TMatrixT;
128 m.GetColUpb(),
m.GetNoElements()); }
140 Int_t *pRowIndex,
Int_t *pColIndex,Element *pData);
142 const Int_t *pRowIndex,
const Int_t *pColIndex,
const Element *pData)
const
145 const_cast<Int_t *
>(pRowIndex),
146 const_cast<Int_t *
>(pColIndex),
147 const_cast<Element *
>(pData))); }
149 Int_t *pRowIndex,
Int_t *pColIndex,Element *pData);
151 const Int_t *pRowIndex,
const Int_t *pColIndex,
const Element *pData)
const;
169 Element
RowNorm ()
const override;
170 Element
ColNorm ()
const override;
174 {
MayNotUse(
"NormByDiag");
return *
this; }
182 inline TMatrixTSparseRow <Element>
operator[](
Int_t rown) {
return TMatrixTSparseRow <Element>(*
this,rown); }
193 if (
this == &source)
APlusB (tmp,tmp,1);
194 else APlusB (tmp,source,1);
197 APlusB(tmp,source,1);
return *
this; }
199 if (
this == &source)
AMinusB (tmp,tmp,1);
203 AMinusB(tmp,source,1);
return *
this; }
205 if (
this == &source)
AMultB (tmp,tmp,1);
206 else AMultB (tmp,source,1);
212 TMatrixTBase <Element> &
Randomize (Element alpha,Element beta,
Double_t &seed)
override;
234template <
class Element>
236 Int_t *pRowIndex,
Int_t *pColIndex,Element *pData)
237 {
return Use(0,nrows-1,0,ncols-1,nr_nonzeros,pRowIndex,pColIndex,pData); }
238template <
class Element>
240 const Int_t *pRowIndex,
const Int_t *pColIndex,
const Element *pData)
const
241 {
return Use(0,nrows-1,0,ncols-1,nr_nonzeros,pRowIndex,pColIndex,pData); }
242template <
class Element>
245 return Use(
a.GetRowLwb(),
a.GetRowUpb(),
a.GetColLwb(),
a.GetColUpb(),
246 a.GetNoElements(),
a.GetRowIndexArray(),
247 a.GetColIndexArray(),
a.GetMatrixArray()); }
248template <
class Element>
251 return Use(
a.GetRowLwb(),
a.GetRowUpb(),
a.GetColLwb(),
a.GetColUpb(),
252 a.GetNoElements(),
a.GetRowIndexArray(),
253 a.GetColIndexArray(),
a.GetMatrixArray()); }
255template <
class Element>
260 this->GetSub(row_lwb,row_upb,col_lwb,col_upb,tmp,
option);
#define ClassDefOverride(name, id)
#define R__ASSERT(e)
Checks condition e and reports a fatal error if it's false.
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void data
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char Pixmap_t Pixmap_t PictureAttributes_t attr const char char ret_data h unsigned char height h Atom_t Int_t ULong_t ULong_t unsigned char prop_list Atom_t Atom_t target
TMatrixTSparse< Element > & ElementDiv(TMatrixTSparse< Element > &target, const TMatrixTSparse< Element > &source)
Divide target by the source, element-by-element.
TMatrixTSparse< Element > operator*(const TMatrixTSparse< Element > &source1, const TMatrixTSparse< Element > &source2)
TMatrixTSparse< Element > operator-(const TMatrixTSparse< Element > &source1, const TMatrixTSparse< Element > &source2)
Bool_t AreCompatible(const TMatrixTSparse< Element > &m1, const TMatrixTSparse< Element > &m2, Int_t verbose=0)
TMatrixTSparse< Element > & Add(TMatrixTSparse< Element > &target, Element scalar, const TMatrixTSparse< Element > &source)
Modify addition: target += scalar * source.
TMatrixTSparse< Element > operator+(const TMatrixTSparse< Element > &source1, const TMatrixTSparse< Element > &source2)
TMatrixTSparse< Element > & ElementMult(TMatrixTSparse< Element > &target, const TMatrixTSparse< Element > &source)
Multiply target by the source, element-by-element.
TClass instances represent classes, structs and namespaces in the ROOT type system.
TMatrixTBase< Element > & Randomize(Element alpha, Element beta, Double_t &seed) override
randomize matrix element values
TMatrixTBase< Element > & SetMatrixArray(const Element *data, Option_t *="") override
Copy array data to matrix .
Int_t * GetRowIndexArray() override
Int_t ReduceSparseMatrix(Int_t nr, Int_t *row, Int_t *col, Element *data)
Sum matrix entries corresponding to the same matrix element (i,j).
Int_t * GetColIndexArray() override
TMatrixTBase< Element > & GetSub(Int_t row_lwb, Int_t row_upb, Int_t col_lwb, Int_t col_upb, TMatrixTBase< Element > &target, Option_t *option="S") const override
Get submatrix [row_lwb..row_upb][col_lwb..col_upb]; The indexing range of the returned matrix depends...
TMatrixTSparse< Element > & operator+=(Element val)
Add val to every element of the matrix.
TMatrixTBase< Element > & ResizeTo(const TMatrixTSparse< Element > &m)
TMatrixTSparse< Element > & SetSparseIndex(Int_t nelem_new)
Increase/decrease the number of non-zero elements to nelems_new.
~TMatrixTSparse() override
TMatrixTSparse< Element > & Use(Int_t row_lwb, Int_t row_upb, Int_t col_lwb, Int_t col_upb, Int_t nr_nonzeros, Int_t *pRowIndex, Int_t *pColIndex, Element *pData)
TMatrixTBase< Element > & InsertRow(Int_t row, Int_t col, const Element *v, Int_t n=-1) override
Insert in row rown, n elements of array v at column coln.
TMatrixTSparse< Element > & operator+=(const TMatrixTSparse< Element > &source)
Element ColNorm() const override
Column matrix norm, MAX{ SUM{ |M(i,j)|, over i}, over j}.
const Int_t * GetRowIndexArray() const override
TMatrixTSparse< Element > & operator-=(const TMatrixTSparse< Element > &source)
void AMinusB(const TMatrixTSparse< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
General matrix subtraction.
TMatrixTSparse< Element > & operator*=(Element val)
Multiply every element of the matrix with val.
void AMultB(const TMatrixTSparse< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
void AMultBt(const TMatrixTSparse< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
void GetMatrix2Array(Element *data, Option_t *="") const override
Copy matrix data to array . It is assumed that array is of size >= fNelems.
TMatrixTSparse< Element > & Transpose(const TMatrixTSparse< Element > &source)
Transpose a matrix. Set the matrix to ncols x nrows if nrows != ncols.
TMatrixTSparse< Element > & operator*=(const TMatrixTSparse< Element > &source)
TMatrixTSparse< Element > & operator-=(Element val)
Subtract val from every element of the matrix.
TMatrixTSparse< Element > & operator+=(const TMatrixT< Element > &source)
TMatrixTBase< Element > & SetColIndexArray(Int_t *data) override
void APlusB(const TMatrixT< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
Int_t NonZeros() const override
Compute the number of elements != 0.0.
TMatrixTSparseRow< Element > operator[](Int_t rown)
TMatrixTSparse< Element > & operator*=(const TMatrixT< Element > &source)
const TMatrixTSparse< Element > & Use(const TMatrixTSparse< Element > &a) const
TMatrixTBase< Element > & SetSub(Int_t row_lwb, Int_t col_lwb, const TMatrixTBase< Element > &source) override
Insert matrix source starting at [row_lwb][col_lwb], thereby overwriting the part [row_lwb....
void Allocate(Int_t nrows, Int_t ncols, Int_t row_lwb=0, Int_t col_lwb=0, Int_t init=0, Int_t nr_nonzeros=0)
Allocate new matrix.
void Clear(Option_t *="") override
void AMultB(const TMatrixT< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
const TMatrixTSparseRow_const< Element > operator[](Int_t rown) const
TMatrixTBase< Element > & SetRowIndexArray(Int_t *data) override
TMatrixTBase< Element > & ResizeTo(Int_t nrows, Int_t ncols, Int_t nr_nonzeros=-1) override
Set size of the matrix to nrows x ncols with nr_nonzeros non-zero entries if nr_nonzeros > 0 .
void APlusB(const TMatrixTSparse< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
General matrix addition.
const TMatrixTSparse< Element > & Use(Int_t row_lwb, Int_t row_upb, Int_t col_lwb, Int_t col_upb, Int_t nr_nonzeros, const Int_t *pRowIndex, const Int_t *pColIndex, const Element *pData) const
virtual TMatrixTSparse< Element > & RandomizePD(Element alpha, Element beta, Double_t &seed)
randomize matrix element values but keep matrix symmetric positive definite
TMatrixTBase< Element > & Zero() override
Set matrix elements to zero.
TMatrixTSparse< Element > & Use(TMatrixTSparse< Element > &a)
TMatrixTSparse< Element > & operator=(const TMatrixT< Element > &source)
Notice that the sparsity of the matrix is NOT changed : its fRowIndex/fColIndex are used !
TMatrixTBase< Element > & NormByDiag(const TVectorT< Element > &, Option_t *) override
option:
TMatrixTSparse< Element > & T()
const Int_t * GetColIndexArray() const override
void AMultB(const TMatrixTSparse< Element > &a, const TMatrixT< Element > &b, Int_t constr=0)
Element operator()(Int_t rown, Int_t coln) const override
const TMatrixTSparse< Element > & Use(Int_t nrows, Int_t ncols, Int_t nr_nonzeros, const Int_t *pRowIndex, const Int_t *pColIndex, const Element *pData) const
TMatrixTSparse< Element > & SetSparseIndexAB(const TMatrixTSparse< Element > &a, const TMatrixT< Element > &b)
TMatrixTSparse< Element > GetSub(Int_t row_lwb, Int_t row_upb, Int_t col_lwb, Int_t col_upb, Option_t *option="S") const
void ExtractRow(Int_t row, Int_t col, Element *v, Int_t n=-1) const override
Store in array v, n matrix elements of row rown starting at column coln.
TMatrixTSparse< Element > & operator-=(const TMatrixT< Element > &source)
Bool_t IsSymmetric() const override
Check whether matrix is symmetric.
TMatrixTBase< Element > & UnitMatrix() override
Make a unit matrix (matrix need not be a square one).
void conservative_sparse_sparse_product_impl(const TMatrixTSparse< Element > &lhs, const TMatrixTSparse< Element > &rhs, Int_t constr=0)
General Sparse Matrix Multiplication (SpMM).
Element RowNorm() const override
Row matrix norm, MAX{ SUM{ |M(i,j)|, over j}, over i}.
TMatrixTSparse< Element > & SetSparseIndexAB(const TMatrixTSparse< Element > &a, const TMatrixTSparse< Element > &b)
Set the row/column indices to the "sum" of matrices a and b It is checked that enough space has been ...
void Mult(const TMatrixTSparse< Element > &a, const TMatrixTSparse< Element > &b)
const Element * GetMatrixArray() const override
Element * GetMatrixArray() override
TMatrixTSparse< Element > & Use(Int_t nrows, Int_t ncols, Int_t nr_nonzeros, Int_t *pRowIndex, Int_t *pColIndex, Element *pData)
void MayNotUse(const char *method) const
Use this method to signal that a method (defined in a base class) may not be called in a derived clas...