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Reference Guide
TMatrixTSparse< Element > Class Template Reference

template<class Element>
class TMatrixTSparse< Element >

TMatrixTSparse.

Template class of a general sparse matrix in the Harwell-Boeing format

Besides the usual shape/size decsriptors of a matrix like fNrows, fRowLwb,fNcols and fColLwb, we also store a row index, fRowIndex and column index, fColIndex only for those elements unequal zero:

fRowIndex[0,..,fNrows]: Stores for each row the index range of
the elements in the data and column array
fColIndex[0,..,fNelems-1]: Stores the column number for each data
element != 0

As an example how to access all sparse data elements:

for (Int_t irow = 0; irow < this->fNrows; irow++) {
const Int_t sIndex = fRowIndex[irow];
const Int_t eIndex = fRowIndex[irow+1];
for (Int_t index = sIndex; index < eIndex; index++) {
const Int_t icol = fColIndex[index];
const Element data = fElements[index];
printf("data(%d,%d) = %.4e\n",irow+this->fRowLwb,icol+
this->fColLwb,data);
}
}

When checking whether sparse matrices are compatible (like in an assigment !), not only the shape parameters are compared but also the sparse structure through fRowIndex and fColIndex .

Several methods exist to fill a sparse matrix with data entries. Most are the same like for dense matrices but some care has to be taken with regard to performance. In the constructor, always the shape of the matrix has to be specified in some form . Data can be entered through the following methods :

  1. constructor
    TMatrixTSparse(Int_t row_lwb,Int_t row_upb,Int_t dol_lwb,
    Int_t col_upb,Int_t nr_nonzeros,
    Int_t *row, Int_t *col,Element *data);
    It uses SetMatrixArray(..), see below
  2. copy constructors
  3. SetMatrixArray(Int_t nr,Int_t *irow,Int_t *icol,Element *data) where it is expected that the irow,icol and data array contain nr entries . Only the entries with non-zero data[i] value are inserted. Be aware that the input data array will be modified inside the routine for doing the necessary sorting of indices !
  4. TMatrixTSparse a(n,m); for(....) { a(i,j) = .... This is a very flexible method but expensive :
    • if no entry for slot (i,j) is found in the sparse index table it will be entered, which involves some memory management !
    • before invoking this method in a loop it is smart to first set the index table through a call to SetSparseIndex(..)
  5. SetSub(Int_t row_lwb,Int_t col_lwb,const TMatrixTBase &source) the matrix to be inserted at position (row_lwb,col_lwb) can be both dense or sparse .

Definition at line 22 of file TMatrixDSparsefwd.h.

Public Types

enum  EMatrixCreatorsOp1 { kZero, kUnit, kTransposed, kAtA }
 
enum  EMatrixCreatorsOp2 { kMult, kMultTranspose, kPlus, kMinus }
 
- Public Types inherited from TObject
enum  {
  kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kInconsistent = 0x08000000,
  kBitMask = 0x00ffffff
}
 
enum  { kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) }
 
enum  EDeprecatedStatusBits { kObjInCanvas = BIT(3) }
 
enum  EStatusBits {
  kCanDelete = BIT(0), kMustCleanup = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5),
  kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13)
}
 

Public Member Functions

 TMatrixTSparse ()
 
 TMatrixTSparse (Int_t nrows, Int_t ncols)
 Space is allocated for row/column indices and data, but the sparse structure information has still to be set ! More...
 
 TMatrixTSparse (Int_t row_lwb, Int_t row_upb, Int_t col_lwb, Int_t col_upb)
 Space is allocated for row/column indices and data, but the sparse structure information has still to be set ! More...
 
 TMatrixTSparse (Int_t row_lwb, Int_t row_upb, Int_t col_lwb, Int_t col_upb, Int_t nr_nonzeros, Int_t *row, Int_t *col, Element *data)
 Space is allocated for row/column indices and data. More...
 
 TMatrixTSparse (const TMatrixTSparse< Element > &another)
 
 TMatrixTSparse (const TMatrixT< Element > &another)
 
 TMatrixTSparse (EMatrixCreatorsOp1 op, const TMatrixTSparse< Element > &prototype)
 Create a matrix applying a specific operation to the prototype. More...
 
 TMatrixTSparse (const TMatrixTSparse< Element > &a, EMatrixCreatorsOp2 op, const TMatrixTSparse< Element > &b)
 Create a matrix applying a specific operation to two prototypes. More...
 
 TMatrixTSparse (const TMatrixTSparse< Element > &a, EMatrixCreatorsOp2 op, const TMatrixT< Element > &b)
 Create a matrix applying a specific operation to two prototypes. More...
 
 TMatrixTSparse (const TMatrixT< Element > &a, EMatrixCreatorsOp2 op, const TMatrixTSparse< Element > &b)
 Create a matrix applying a specific operation to two prototypes. More...
 
virtual ~TMatrixTSparse ()
 
template<>
TClassClass ()
 
virtual void Clear (Option_t *="")
 
virtual Element ColNorm () const
 Column matrix norm, MAX{ SUM{ |M(i,j)|, over i}, over j}. More...
 
virtual void ExtractRow (Int_t row, Int_t col, Element *v, Int_t n=-1) const
 Store in array v, n matrix elements of row rown starting at column coln. More...
 
virtual const Int_tGetColIndexArray () const
 
virtual Int_tGetColIndexArray ()
 
virtual void GetMatrix2Array (Element *data, Option_t *="") const
 Copy matrix data to array . It is assumed that array is of size >= fNelems. More...
 
virtual const Element * GetMatrixArray () const
 
virtual Element * GetMatrixArray ()
 
virtual const Int_tGetRowIndexArray () const
 
virtual Int_tGetRowIndexArray ()
 
virtual 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
 Get submatrix [row_lwb..row_upb][col_lwb..col_upb]; The indexing range of the returned matrix depends on the argument option: More...
 
TMatrixTSparse< Element > GetSub (Int_t row_lwb, Int_t row_upb, Int_t col_lwb, Int_t col_upb, Option_t *option="S") const
 
virtual TMatrixTBase< Element > & InsertRow (Int_t row, Int_t col, const Element *v, Int_t n=-1)
 Insert in row rown, n elements of array v at column coln. More...
 
virtual Bool_t IsSymmetric () const
 Check whether matrix is symmetric. More...
 
void Mult (const TMatrixTSparse< Element > &a, const TMatrixTSparse< Element > &b)
 
virtual Int_t NonZeros () const
 Compute the number of elements != 0.0. More...
 
virtual TMatrixTBase< Element > & NormByDiag (const TVectorT< Element > &, Option_t *)
 option: More...
 
Element operator() (Int_t rown, Int_t coln) const
 
Element & operator() (Int_t rown, Int_t coln)
 
TMatrixTSparse< Element > & operator*= (Element val)
 Multiply every element of the matrix with val. More...
 
TMatrixTSparse< Element > & operator*= (const TMatrixTSparse< Element > &source)
 
TMatrixTSparse< Element > & operator*= (const TMatrixT< Element > &source)
 
TMatrixTSparse< Element > & operator+= (Element val)
 Add val to every element of the matrix. More...
 
TMatrixTSparse< Element > & operator+= (const TMatrixTSparse< Element > &source)
 
TMatrixTSparse< Element > & operator+= (const TMatrixT< Element > &source)
 
TMatrixTSparse< Element > & operator-= (Element val)
 Subtract val from every element of the matrix. More...
 
TMatrixTSparse< Element > & operator-= (const TMatrixTSparse< Element > &source)
 
TMatrixTSparse< Element > & operator-= (const TMatrixT< Element > &source)
 
TMatrixTSparse< Element > & operator= (const TMatrixT< Element > &source)
 Notice that the sparsity of the matrix is NOT changed : its fRowIndex/fColIndex are used ! More...
 
TMatrixTSparse< Element > & operator= (const TMatrixTSparse< Element > &source)
 Notice that the sparsity of the matrix is NOT changed : its fRowIndex/fColIndex are used ! More...
 
TMatrixTSparse< Element > & operator= (Element val)
 Assign val to every element of the matrix. More...
 
const TMatrixTSparseRow_const< Element > operator[] (Int_t rown) const
 
TMatrixTSparseRow< Element > operator[] (Int_t rown)
 
virtual TMatrixTBase< Element > & Randomize (Element alpha, Element beta, Double_t &seed)
 randomize matrix element values More...
 
virtual TMatrixTSparse< Element > & RandomizePD (Element alpha, Element beta, Double_t &seed)
 randomize matrix element values but keep matrix symmetric positive definite More...
 
virtual TMatrixTBase< Element > & ResizeTo (Int_t nrows, Int_t ncols, Int_t nr_nonzeros=-1)
 Set size of the matrix to nrows x ncols with nr_nonzeros non-zero entries if nr_nonzeros > 0 . More...
 
virtual TMatrixTBase< Element > & ResizeTo (Int_t row_lwb, Int_t row_upb, Int_t col_lwb, Int_t col_upb, Int_t nr_nonzeros=-1)
 Set size of the matrix to [row_lwb:row_upb] x [col_lwb:col_upb] with nr_nonzeros non-zero entries if nr_nonzeros > 0 . More...
 
TMatrixTBase< Element > & ResizeTo (const TMatrixTSparse< Element > &m)
 
virtual Element RowNorm () const
 Row matrix norm, MAX{ SUM{ |M(i,j)|, over j}, over i}. More...
 
virtual TMatrixTBase< Element > & SetColIndexArray (Int_t *data)
 
virtual TMatrixTBase< Element > & SetMatrixArray (const Element *data, Option_t *="")
 Copy array data to matrix . More...
 
virtual TMatrixTBase< Element > & SetMatrixArray (Int_t nr_nonzeros, Int_t *irow, Int_t *icol, Element *data)
 Copy nr elements from row/col index and data array to matrix . More...
 
virtual TMatrixTBase< Element > & SetRowIndexArray (Int_t *data)
 
TMatrixTSparse< Element > & SetSparseIndex (Int_t nelem_new)
 Increase/decrease the number of non-zero elements to nelems_new. More...
 
TMatrixTSparse< Element > & SetSparseIndex (const TMatrixTBase< Element > &another)
 Use non-zero data of matrix source to set the sparse structure. More...
 
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 allocated. More...
 
TMatrixTSparse< Element > & SetSparseIndexAB (const TMatrixT< 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 allocated. More...
 
TMatrixTSparse< Element > & SetSparseIndexAB (const TMatrixTSparse< Element > &a, const TMatrixT< Element > &b)
 
virtual TMatrixTBase< Element > & SetSub (Int_t row_lwb, Int_t col_lwb, const TMatrixTBase< Element > &source)
 Insert matrix source starting at [row_lwb][col_lwb], thereby overwriting the part [row_lwb..row_lwb+nrows_source-1][col_lwb..col_lwb+ncols_source-1];. More...
 
TMatrixTSparse< Element > & T ()
 
TMatrixTSparse< Element > & Transpose (const TMatrixTSparse< Element > &source)
 Transpose a matrix. More...
 
virtual TMatrixTBase< Element > & UnitMatrix ()
 Make a unit matrix (matrix need not be a square one). More...
 
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)
 
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
 
TMatrixTSparse< Element > & Use (Int_t nrows, Int_t ncols, Int_t nr_nonzeros, Int_t *pRowIndex, Int_t *pColIndex, Element *pData)
 
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 > & Use (TMatrixTSparse< Element > &a)
 
const TMatrixTSparse< Element > & Use (const TMatrixTSparse< Element > &a) const
 
virtual TMatrixTBase< Element > & Zero ()
 Set matrix elements to zero. More...
 
- Public Member Functions inherited from TMatrixTBase< Element >
 TMatrixTBase ()
 
virtual ~TMatrixTBase ()
 
virtual TMatrixTBase< Element > & Abs ()
 Take an absolute value of a matrix, i.e. apply Abs() to each element. More...
 
virtual TMatrixTBase< Element > & Apply (const TElementActionT< Element > &action)
 Apply action to each matrix element. More...
 
virtual TMatrixTBase< Element > & Apply (const TElementPosActionT< Element > &action)
 Apply action to each element of the matrix. More...
 
template<>
TClassClass ()
 
virtual Double_t Determinant () const
 
virtual void Determinant (Double_t &d1, Double_t &d2) const
 
void Draw (Option_t *option="")
 Draw this matrix The histogram is named "TMatrixT" by default and no title. More...
 
virtual Element E2Norm () const
 Square of the Euclidian norm, SUM{ m(i,j)^2 }. More...
 
Int_t GetColLwb () const
 
Int_t GetColUpb () const
 
Int_t GetNcols () const
 
Int_t GetNoElements () const
 
Int_t GetNrows () const
 
Int_t GetRowLwb () const
 
Int_t GetRowUpb () const
 
Element GetTol () const
 
void Invalidate ()
 
Bool_t IsOwner () const
 
Bool_t IsValid () const
 
void MakeValid ()
 
virtual Element Max () const
 return maximum vector element value More...
 
virtual Element Min () const
 return minimum matrix element value More...
 
Element Norm1 () const
 
Element NormInf () const
 
Bool_t operator!= (Element val) const
 Are all matrix elements not equal to val? More...
 
Bool_t operator< (Element val) const
 Are all matrix elements < val? More...
 
Bool_t operator<= (Element val) const
 Are all matrix elements <= val? More...
 
Bool_t operator== (Element val) const
 Are all matrix elements equal to val? More...
 
Bool_t operator> (Element val) const
 Are all matrix elements > val? More...
 
Bool_t operator>= (Element val) const
 Are all matrix elements >= val? More...
 
void Print (Option_t *name="") const
 Print the matrix as a table of elements. More...
 
Element SetTol (Element tol)
 
virtual TMatrixTBase< Element > & Shift (Int_t row_shift, Int_t col_shift)
 Shift the row index by adding row_shift and the column index by adding col_shift, respectively. More...
 
virtual TMatrixTBase< Element > & Sqr ()
 Square each element of the matrix. More...
 
virtual TMatrixTBase< Element > & Sqrt ()
 Take square root of all elements. More...
 
virtual Element Sum () const
 Compute sum of elements. More...
 
- Public Member Functions inherited from TObject
 TObject ()
 TObject constructor. More...
 
 TObject (const TObject &object)
 TObject copy ctor. More...
 
virtual ~TObject ()
 TObject destructor. More...
 
void AbstractMethod (const char *method) const
 Use this method to implement an "abstract" method that you don't want to leave purely abstract. More...
 
virtual void AppendPad (Option_t *option="")
 Append graphics object to current pad. More...
 
virtual void Browse (TBrowser *b)
 Browse object. May be overridden for another default action. More...
 
ULong_t CheckedHash ()
 Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object. More...
 
virtual const char * ClassName () const
 Returns name of class to which the object belongs. More...
 
virtual TObjectClone (const char *newname="") const
 Make a clone of an object using the Streamer facility. More...
 
virtual Int_t Compare (const TObject *obj) const
 Compare abstract method. More...
 
virtual void Copy (TObject &object) const
 Copy this to obj. More...
 
virtual void Delete (Option_t *option="")
 Delete this object. More...
 
virtual Int_t DistancetoPrimitive (Int_t px, Int_t py)
 Computes distance from point (px,py) to the object. More...
 
virtual void DrawClass () const
 Draw class inheritance tree of the class to which this object belongs. More...
 
virtual TObjectDrawClone (Option_t *option="") const
 Draw a clone of this object in the current selected pad for instance with: gROOT->SetSelectedPad(gPad). More...
 
virtual void Dump () const
 Dump contents of object on stdout. More...
 
virtual void Error (const char *method, const char *msgfmt,...) const
 Issue error message. More...
 
virtual void Execute (const char *method, const char *params, Int_t *error=0)
 Execute method on this object with the given parameter string, e.g. More...
 
virtual void Execute (TMethod *method, TObjArray *params, Int_t *error=0)
 Execute method on this object with parameters stored in the TObjArray. More...
 
virtual void ExecuteEvent (Int_t event, Int_t px, Int_t py)
 Execute action corresponding to an event at (px,py). More...
 
virtual void Fatal (const char *method, const char *msgfmt,...) const
 Issue fatal error message. More...
 
virtual TObjectFindObject (const char *name) const
 Must be redefined in derived classes. More...
 
virtual TObjectFindObject (const TObject *obj) const
 Must be redefined in derived classes. More...
 
virtual Option_tGetDrawOption () const
 Get option used by the graphics system to draw this object. More...
 
virtual const char * GetIconName () const
 Returns mime type name of object. More...
 
virtual const char * GetName () const
 Returns name of object. More...
 
virtual char * GetObjectInfo (Int_t px, Int_t py) const
 Returns string containing info about the object at position (px,py). More...
 
virtual Option_tGetOption () const
 
virtual const char * GetTitle () const
 Returns title of object. More...
 
virtual UInt_t GetUniqueID () const
 Return the unique object id. More...
 
virtual Bool_t HandleTimer (TTimer *timer)
 Execute action in response of a timer timing out. More...
 
virtual ULong_t Hash () const
 Return hash value for this object. More...
 
Bool_t HasInconsistentHash () const
 Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e. More...
 
virtual void Info (const char *method, const char *msgfmt,...) const
 Issue info message. More...
 
virtual Bool_t InheritsFrom (const char *classname) const
 Returns kTRUE if object inherits from class "classname". More...
 
virtual Bool_t InheritsFrom (const TClass *cl) const
 Returns kTRUE if object inherits from TClass cl. More...
 
virtual void Inspect () const
 Dump contents of this object in a graphics canvas. More...
 
void InvertBit (UInt_t f)
 
virtual Bool_t IsEqual (const TObject *obj) const
 Default equal comparison (objects are equal if they have the same address in memory). More...
 
virtual Bool_t IsFolder () const
 Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...
 
R__ALWAYS_INLINE Bool_t IsOnHeap () const
 
virtual Bool_t IsSortable () const
 
R__ALWAYS_INLINE Bool_t IsZombie () const
 
virtual void ls (Option_t *option="") const
 The ls function lists the contents of a class on stdout. More...
 
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 class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More...
 
virtual Bool_t Notify ()
 This method must be overridden to handle object notification. More...
 
void Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const
 Use this method to declare a method obsolete. More...
 
void operator delete (void *ptr)
 Operator delete. More...
 
void operator delete[] (void *ptr)
 Operator delete []. More...
 
voidoperator new (size_t sz)
 
voidoperator new (size_t sz, void *vp)
 
voidoperator new[] (size_t sz)
 
voidoperator new[] (size_t sz, void *vp)
 
TObjectoperator= (const TObject &rhs)
 TObject assignment operator. More...
 
virtual void Paint (Option_t *option="")
 This method must be overridden if a class wants to paint itself. More...
 
virtual void Pop ()
 Pop on object drawn in a pad to the top of the display list. More...
 
virtual Int_t Read (const char *name)
 Read contents of object with specified name from the current directory. More...
 
virtual void RecursiveRemove (TObject *obj)
 Recursively remove this object from a list. More...
 
void ResetBit (UInt_t f)
 
virtual void SaveAs (const char *filename="", Option_t *option="") const
 Save this object in the file specified by filename. More...
 
virtual void SavePrimitive (std::ostream &out, Option_t *option="")
 Save a primitive as a C++ statement(s) on output stream "out". More...
 
void SetBit (UInt_t f, Bool_t set)
 Set or unset the user status bits as specified in f. More...
 
void SetBit (UInt_t f)
 
virtual void SetDrawOption (Option_t *option="")
 Set drawing option for object. More...
 
virtual void SetUniqueID (UInt_t uid)
 Set the unique object id. More...
 
virtual void SysError (const char *method, const char *msgfmt,...) const
 Issue system error message. More...
 
R__ALWAYS_INLINE Bool_t TestBit (UInt_t f) const
 
Int_t TestBits (UInt_t f) const
 
virtual void UseCurrentStyle ()
 Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More...
 
virtual void Warning (const char *method, const char *msgfmt,...) const
 Issue warning message. More...
 
virtual Int_t Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
 Write this object to the current directory. More...
 
virtual Int_t Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
 Write this object to the current directory. More...
 

Protected Member Functions

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. More...
 
void AMinusB (const TMatrixTSparse< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
 General matrix subtraction. More...
 
void AMinusB (const TMatrixTSparse< Element > &a, const TMatrixT< Element > &b, Int_t constr=0)
 General matrix subtraction. More...
 
void AMinusB (const TMatrixT< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
 General matrix subtraction. More...
 
void AMultB (const TMatrixTSparse< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
 
void AMultB (const TMatrixTSparse< Element > &a, const TMatrixT< Element > &b, Int_t constr=0)
 
void AMultB (const TMatrixT< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
 
void AMultBt (const TMatrixTSparse< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
 General matrix multiplication. More...
 
void AMultBt (const TMatrixTSparse< Element > &a, const TMatrixT< Element > &b, Int_t constr=0)
 General matrix multiplication. More...
 
void AMultBt (const TMatrixT< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
 General matrix multiplication. More...
 
void APlusB (const TMatrixTSparse< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
 General matrix addition. More...
 
void APlusB (const TMatrixTSparse< Element > &a, const TMatrixT< Element > &b, Int_t constr=0)
 General matrix addition. More...
 
void APlusB (const TMatrixT< Element > &a, const TMatrixTSparse< Element > &b, Int_t constr=0)
 
- Protected Member Functions inherited from TObject
virtual void DoError (int level, const char *location, const char *fmt, va_list va) const
 Interface to ErrorHandler (protected). More...
 
void MakeZombie ()
 

Protected Attributes

Int_tfColIndex
 
Element * fElements
 
Int_tfRowIndex
 
- Protected Attributes inherited from TMatrixTBase< Element >
Int_t fColLwb
 
Bool_t fIsOwner
 
Int_t fNcols
 
Int_t fNelems
 
Int_t fNrowIndex
 
Int_t fNrows
 
Int_t fRowLwb
 
Element fTol
 

Additional Inherited Members

- Static Public Member Functions inherited from TMatrixTBase< Element >
static Element & NaNValue ()
 
- Static Public Member Functions inherited from TObject
static Long_t GetDtorOnly ()
 Return destructor only flag. More...
 
static Bool_t GetObjectStat ()
 Get status of object stat flag. More...
 
static void SetDtorOnly (void *obj)
 Set destructor only flag. More...
 
static void SetObjectStat (Bool_t stat)
 Turn on/off tracking of objects in the TObjectTable. More...
 
- Protected Types inherited from TMatrixTBase< Element >
enum  { kSizeMax = 25 }
 
enum  { kWorkMax = 100 }
 
enum  EMatrixStatusBits { kStatus = BIT(14) }
 
- Static Protected Member Functions inherited from TMatrixTBase< Element >
static void DoubleLexSort (Int_t n, Int_t *first, Int_t *second, Element *data)
 default kTRUE, when Use array kFALSE More...
 
static void IndexedLexSort (Int_t n, Int_t *first, Int_t swapFirst, Int_t *second, Int_t swapSecond, Int_t *index)
 Lexical sort on array data using indices first and second. More...
 

#include <TMatrixDSparsefwd.h>

Inheritance diagram for TMatrixTSparse< Element >:
[legend]

Member Enumeration Documentation

◆ EMatrixCreatorsOp1

template<class Element>
enum TMatrixTSparse::EMatrixCreatorsOp1
Enumerator
kZero 
kUnit 
kTransposed 
kAtA 

Definition at line 69 of file TMatrixTSparse.h.

◆ EMatrixCreatorsOp2

template<class Element>
enum TMatrixTSparse::EMatrixCreatorsOp2
Enumerator
kMult 
kMultTranspose 
kPlus 
kMinus 

Definition at line 70 of file TMatrixTSparse.h.

Constructor & Destructor Documentation

◆ TMatrixTSparse() [1/10]

template<class Element>
TMatrixTSparse< Element >::TMatrixTSparse ( )
inline

Definition at line 72 of file TMatrixTSparse.h.

◆ TMatrixTSparse() [2/10]

template<class Element >
TMatrixTSparse< Element >::TMatrixTSparse ( Int_t  nrows,
Int_t  ncols 
)

Space is allocated for row/column indices and data, but the sparse structure information has still to be set !

Definition at line 93 of file TMatrixTSparse.cxx.

◆ TMatrixTSparse() [3/10]

template<class Element >
TMatrixTSparse< Element >::TMatrixTSparse ( Int_t  row_lwb,
Int_t  row_upb,
Int_t  col_lwb,
Int_t  col_upb 
)

Space is allocated for row/column indices and data, but the sparse structure information has still to be set !

Definition at line 103 of file TMatrixTSparse.cxx.

◆ TMatrixTSparse() [4/10]

template<class Element>
TMatrixTSparse< Element >::TMatrixTSparse ( Int_t  row_lwb,
Int_t  row_upb,
Int_t  col_lwb,
Int_t  col_upb,
Int_t  nr,
Int_t row,
Int_t col,
Element *  data 
)

Space is allocated for row/column indices and data.

Sparse row/column index structure together with data is coming from the arrays, row, col and data, resp .

Definition at line 113 of file TMatrixTSparse.cxx.

◆ TMatrixTSparse() [5/10]

template<class Element>
TMatrixTSparse< Element >::TMatrixTSparse ( const TMatrixTSparse< Element > &  another)

Definition at line 152 of file TMatrixTSparse.cxx.

◆ TMatrixTSparse() [6/10]

template<class Element>
TMatrixTSparse< Element >::TMatrixTSparse ( const TMatrixT< Element > &  another)

Definition at line 165 of file TMatrixTSparse.cxx.

◆ TMatrixTSparse() [7/10]

template<class Element>
TMatrixTSparse< Element >::TMatrixTSparse ( EMatrixCreatorsOp1  op,
const TMatrixTSparse< Element > &  prototype 
)

Create a matrix applying a specific operation to the prototype.

Supported operations are: kZero, kUnit, kTransposed and kAtA

Definition at line 178 of file TMatrixTSparse.cxx.

◆ TMatrixTSparse() [8/10]

template<class Element>
TMatrixTSparse< Element >::TMatrixTSparse ( const TMatrixTSparse< Element > &  a,
EMatrixCreatorsOp2  op,
const TMatrixTSparse< Element > &  b 
)

Create a matrix applying a specific operation to two prototypes.

Supported operations are: kMult (a*b), kMultTranspose (a*b'), kPlus (a+b), kMinus (a-b)

Definition at line 228 of file TMatrixTSparse.cxx.

◆ TMatrixTSparse() [9/10]

template<class Element>
TMatrixTSparse< Element >::TMatrixTSparse ( const TMatrixTSparse< Element > &  a,
EMatrixCreatorsOp2  op,
const TMatrixT< Element > &  b 
)

Create a matrix applying a specific operation to two prototypes.

Supported operations are: kMult (a*b), kMultTranspose (a*b'), kPlus (a+b), kMinus (a-b)

Definition at line 260 of file TMatrixTSparse.cxx.

◆ TMatrixTSparse() [10/10]

template<class Element>
TMatrixTSparse< Element >::TMatrixTSparse ( const TMatrixT< Element > &  a,
EMatrixCreatorsOp2  op,
const TMatrixTSparse< Element > &  b 
)

Create a matrix applying a specific operation to two prototypes.

Supported operations are: kMult (a*b), kMultTranspose (a*b'), kPlus (a+b), kMinus (a-b)

Definition at line 292 of file TMatrixTSparse.cxx.

◆ ~TMatrixTSparse()

template<class Element>
virtual TMatrixTSparse< Element >::~TMatrixTSparse ( )
inlinevirtual

Definition at line 85 of file TMatrixTSparse.h.

Member Function Documentation

◆ Allocate()

template<class Element >
void TMatrixTSparse< Element >::Allocate ( Int_t  no_rows,
Int_t  no_cols,
Int_t  row_lwb = 0,
Int_t  col_lwb = 0,
Int_t  init = 0,
Int_t  nr_nonzeros = 0 
)
protected

Allocate new matrix.

Arguments are number of rows, columns, row lowerbound (0 default) and column lowerbound (0 default), 0 initialization flag and number of non-zero elements (only relevant for sparse format).

Definition at line 325 of file TMatrixTSparse.cxx.

◆ AMinusB() [1/3]

template<class Element>
void TMatrixTSparse< Element >::AMinusB ( const TMatrixTSparse< Element > &  a,
const TMatrixTSparse< Element > &  b,
Int_t  constr = 0 
)
protected

General matrix subtraction.

Create a matrix C such that C = A - B. Note, matrix C is allocated for constr=1.

Definition at line 935 of file TMatrixTSparse.cxx.

◆ AMinusB() [2/3]

template<class Element>
void TMatrixTSparse< Element >::AMinusB ( const TMatrixTSparse< Element > &  a,
const TMatrixT< Element > &  b,
Int_t  constr = 0 
)
protected

General matrix subtraction.

Create a matrix C such that C = A - B. Note, matrix C is allocated for constr=1.

Definition at line 1017 of file TMatrixTSparse.cxx.

◆ AMinusB() [3/3]

template<class Element>
void TMatrixTSparse< Element >::AMinusB ( const TMatrixT< Element > &  a,
const TMatrixTSparse< Element > &  b,
Int_t  constr = 0 
)
protected

General matrix subtraction.

Create a matrix C such that C = A - B. Note, matrix C is allocated for constr=1.

Definition at line 1088 of file TMatrixTSparse.cxx.

◆ AMultB() [1/3]

template<class Element>
void TMatrixTSparse< Element >::AMultB ( const TMatrixTSparse< Element > &  a,
const TMatrixTSparse< Element > &  b,
Int_t  constr = 0 
)
inlineprotected

Definition at line 47 of file TMatrixTSparse.h.

◆ AMultB() [2/3]

template<class Element>
void TMatrixTSparse< Element >::AMultB ( const TMatrixTSparse< Element > &  a,
const TMatrixT< Element > &  b,
Int_t  constr = 0 
)
inlineprotected

Definition at line 49 of file TMatrixTSparse.h.

◆ AMultB() [3/3]

template<class Element>
void TMatrixTSparse< Element >::AMultB ( const TMatrixT< Element > &  a,
const TMatrixTSparse< Element > &  b,
Int_t  constr = 0 
)
inlineprotected

Definition at line 52 of file TMatrixTSparse.h.

◆ AMultBt() [1/3]

template<class Element>
void TMatrixTSparse< Element >::AMultBt ( const TMatrixTSparse< Element > &  a,
const TMatrixTSparse< Element > &  b,
Int_t  constr = 0 
)
protected

General matrix multiplication.

Create a matrix C such that C = A * B'. Note, matrix C is allocated for constr=1.

Definition at line 491 of file TMatrixTSparse.cxx.

◆ AMultBt() [2/3]

template<class Element>
void TMatrixTSparse< Element >::AMultBt ( const TMatrixTSparse< Element > &  a,
const TMatrixT< Element > &  b,
Int_t  constr = 0 
)
protected

General matrix multiplication.

Create a matrix C such that C = A * B'. Note, matrix C is allocated for constr=1.

Definition at line 599 of file TMatrixTSparse.cxx.

◆ AMultBt() [3/3]

template<class Element>
void TMatrixTSparse< Element >::AMultBt ( const TMatrixT< Element > &  a,
const TMatrixTSparse< Element > &  b,
Int_t  constr = 0 
)
protected

General matrix multiplication.

Create a matrix C such that C = A * B'. Note, matrix C is allocated for constr=1.

Definition at line 690 of file TMatrixTSparse.cxx.

◆ APlusB() [1/3]

template<class Element>
void TMatrixTSparse< Element >::APlusB ( const TMatrixTSparse< Element > &  a,
const TMatrixTSparse< Element > &  b,
Int_t  constr = 0 
)
protected

General matrix addition.

Create a matrix C such that C = A + B. Note, matrix C is allocated for constr=1.

Definition at line 782 of file TMatrixTSparse.cxx.

◆ APlusB() [2/3]

template<class Element>
void TMatrixTSparse< Element >::APlusB ( const TMatrixTSparse< Element > &  a,
const TMatrixT< Element > &  b,
Int_t  constr = 0 
)
protected

General matrix addition.

Create a matrix C such that C = A + B. Note, matrix C is allocated for constr=1.

Definition at line 864 of file TMatrixTSparse.cxx.

◆ APlusB() [3/3]

template<class Element>
void TMatrixTSparse< Element >::APlusB ( const TMatrixT< Element > &  a,
const TMatrixTSparse< Element > &  b,
Int_t  constr = 0 
)
inlineprotected

Definition at line 61 of file TMatrixTSparse.h.

◆ Class()

template<>
TClass * TMatrixTSparse< double >::Class ( )

◆ Clear()

template<class Element>
virtual void TMatrixTSparse< Element >::Clear ( Option_t = "")
inlinevirtual

Implements TMatrixTBase< Element >.

Definition at line 116 of file TMatrixTSparse.h.

◆ ColNorm()

template<class Element >
Element TMatrixTSparse< Element >::ColNorm ( ) const
virtual

Column matrix norm, MAX{ SUM{ |M(i,j)|, over i}, over j}.

The norm is induced by the 1 vector norm.

Reimplemented from TMatrixTBase< Element >.

Definition at line 2129 of file TMatrixTSparse.cxx.

◆ ExtractRow()

template<class Element>
void TMatrixTSparse< Element >::ExtractRow ( Int_t  row,
Int_t  col,
Element *  v,
Int_t  n = -1 
) const
virtual

Store in array v, n matrix elements of row rown starting at column coln.

Reimplemented from TMatrixTBase< Element >.

Definition at line 450 of file TMatrixTSparse.cxx.

◆ GetColIndexArray() [1/2]

template<class Element >
const Int_t * TMatrixTSparse< Element >::GetColIndexArray ( ) const
inlinevirtual

Implements TMatrixTBase< Element >.

Definition at line 219 of file TMatrixTSparse.h.

◆ GetColIndexArray() [2/2]

template<class Element >
Int_t * TMatrixTSparse< Element >::GetColIndexArray ( )
inlinevirtual

Implements TMatrixTBase< Element >.

Definition at line 220 of file TMatrixTSparse.h.

◆ GetMatrix2Array()

template<class Element>
void TMatrixTSparse< Element >::GetMatrix2Array ( Element *  data,
Option_t = "" 
) const
virtual

Copy matrix data to array . It is assumed that array is of size >= fNelems.

Reimplemented from TMatrixTBase< Element >.

Definition at line 1158 of file TMatrixTSparse.cxx.

◆ GetMatrixArray() [1/2]

template<class Element >
const Element * TMatrixTSparse< Element >::GetMatrixArray ( ) const
inlinevirtual

Implements TMatrixTBase< Element >.

Definition at line 215 of file TMatrixTSparse.h.

◆ GetMatrixArray() [2/2]

template<class Element >
Element * TMatrixTSparse< Element >::GetMatrixArray ( )
inlinevirtual

Implements TMatrixTBase< Element >.

Definition at line 216 of file TMatrixTSparse.h.

◆ GetRowIndexArray() [1/2]

template<class Element >
const Int_t * TMatrixTSparse< Element >::GetRowIndexArray ( ) const
inlinevirtual

Implements TMatrixTBase< Element >.

Definition at line 217 of file TMatrixTSparse.h.

◆ GetRowIndexArray() [2/2]

template<class Element >
Int_t * TMatrixTSparse< Element >::GetRowIndexArray ( )
inlinevirtual

Implements TMatrixTBase< Element >.

Definition at line 218 of file TMatrixTSparse.h.

◆ GetSub() [1/2]

template<class Element>
TMatrixTBase< Element > & TMatrixTSparse< 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
virtual

Get submatrix [row_lwb..row_upb][col_lwb..col_upb]; The indexing range of the returned matrix depends on the argument option:

option == "S" : return [0..row_upb-row_lwb+1][0..col_upb-col_lwb+1] (default) else : return [row_lwb..row_upb][col_lwb..col_upb]

Implements TMatrixTBase< Element >.

Definition at line 1751 of file TMatrixTSparse.cxx.

◆ GetSub() [2/2]

template<class Element>
TMatrixTSparse< Element > TMatrixTSparse< Element >::GetSub ( Int_t  row_lwb,
Int_t  row_upb,
Int_t  col_lwb,
Int_t  col_upb,
Option_t option = "S" 
) const
inline

Definition at line 244 of file TMatrixTSparse.h.

◆ InsertRow()

template<class Element>
TMatrixTBase< Element > & TMatrixTSparse< Element >::InsertRow ( Int_t  row,
Int_t  col,
const Element *  v,
Int_t  n = -1 
)
virtual

Insert in row rown, n elements of array v at column coln.

Reimplemented from TMatrixTBase< Element >.

Definition at line 367 of file TMatrixTSparse.cxx.

◆ IsSymmetric()

template<class Element>
virtual Bool_t TMatrixTSparse< Element >::IsSymmetric ( ) const
inlinevirtual

Check whether matrix is symmetric.

Reimplemented from TMatrixTBase< Element >.

Definition at line 146 of file TMatrixTSparse.h.

◆ Mult()

template<class Element>
void TMatrixTSparse< Element >::Mult ( const TMatrixTSparse< Element > &  a,
const TMatrixTSparse< Element > &  b 
)
inline

Definition at line 150 of file TMatrixTSparse.h.

◆ NonZeros()

template<class Element>
virtual Int_t TMatrixTSparse< Element >::NonZeros ( ) const
inlinevirtual

Compute the number of elements != 0.0.

Reimplemented from TMatrixTBase< Element >.

Definition at line 157 of file TMatrixTSparse.h.

◆ NormByDiag()

template<class Element>
virtual TMatrixTBase<Element>& TMatrixTSparse< Element >::NormByDiag ( const TVectorT< Element > &  v,
Option_t option 
)
inlinevirtual

option:

Reimplemented from TMatrixTBase< Element >.

Definition at line 159 of file TMatrixTSparse.h.

◆ operator()() [1/2]

template<class Element >
Element TMatrixTSparse< Element >::operator() ( Int_t  rown,
Int_t  coln 
) const
virtual

Implements TMatrixTBase< Element >.

Definition at line 2201 of file TMatrixTSparse.cxx.

◆ operator()() [2/2]

template<class Element >
Element & TMatrixTSparse< Element >::operator() ( Int_t  rown,
Int_t  coln 
)
virtual

Implements TMatrixTBase< Element >.

Definition at line 2157 of file TMatrixTSparse.cxx.

◆ operator*=() [1/3]

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::operator*= ( Element  val)

Multiply every element of the matrix with val.

Definition at line 2340 of file TMatrixTSparse.cxx.

◆ operator*=() [2/3]

template<class Element>
TMatrixTSparse<Element>& TMatrixTSparse< Element >::operator*= ( const TMatrixTSparse< Element > &  source)
inline

Definition at line 190 of file TMatrixTSparse.h.

◆ operator*=() [3/3]

template<class Element>
TMatrixTSparse<Element>& TMatrixTSparse< Element >::operator*= ( const TMatrixT< Element > &  source)
inline

Definition at line 194 of file TMatrixTSparse.h.

◆ operator+=() [1/3]

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::operator+= ( Element  val)

Add val to every element of the matrix.

Definition at line 2308 of file TMatrixTSparse.cxx.

◆ operator+=() [2/3]

template<class Element>
TMatrixTSparse<Element>& TMatrixTSparse< Element >::operator+= ( const TMatrixTSparse< Element > &  source)
inline

Definition at line 178 of file TMatrixTSparse.h.

◆ operator+=() [3/3]

template<class Element>
TMatrixTSparse<Element>& TMatrixTSparse< Element >::operator+= ( const TMatrixT< Element > &  source)
inline

Definition at line 182 of file TMatrixTSparse.h.

◆ operator-=() [1/3]

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::operator-= ( Element  val)

Subtract val from every element of the matrix.

Definition at line 2324 of file TMatrixTSparse.cxx.

◆ operator-=() [2/3]

template<class Element>
TMatrixTSparse<Element>& TMatrixTSparse< Element >::operator-= ( const TMatrixTSparse< Element > &  source)
inline

Definition at line 184 of file TMatrixTSparse.h.

◆ operator-=() [3/3]

template<class Element>
TMatrixTSparse<Element>& TMatrixTSparse< Element >::operator-= ( const TMatrixT< Element > &  source)
inline

Definition at line 188 of file TMatrixTSparse.h.

◆ operator=() [1/3]

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::operator= ( const TMatrixT< Element > &  source)

Notice that the sparsity of the matrix is NOT changed : its fRowIndex/fColIndex are used !

Definition at line 2256 of file TMatrixTSparse.cxx.

◆ operator=() [2/3]

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::operator= ( const TMatrixTSparse< Element > &  source)

Notice that the sparsity of the matrix is NOT changed : its fRowIndex/fColIndex are used !

Definition at line 2233 of file TMatrixTSparse.cxx.

◆ operator=() [3/3]

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::operator= ( Element  val)

Assign val to every element of the matrix.

Check that the row/col indices are set !

Definition at line 2287 of file TMatrixTSparse.cxx.

◆ operator[]() [1/2]

template<class Element>
const TMatrixTSparseRow_const<Element> TMatrixTSparse< Element >::operator[] ( Int_t  rown) const
inline

Definition at line 167 of file TMatrixTSparse.h.

◆ operator[]() [2/2]

template<class Element>
TMatrixTSparseRow<Element> TMatrixTSparse< Element >::operator[] ( Int_t  rown)
inline

Definition at line 168 of file TMatrixTSparse.h.

◆ Randomize()

template<class Element>
TMatrixTBase< Element > & TMatrixTSparse< Element >::Randomize ( Element  alpha,
Element  beta,
Double_t seed 
)
virtual

randomize matrix element values

Reimplemented from TMatrixTBase< Element >.

Definition at line 2356 of file TMatrixTSparse.cxx.

◆ RandomizePD()

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::RandomizePD ( Element  alpha,
Element  beta,
Double_t seed 
)
virtual

randomize matrix element values but keep matrix symmetric positive definite

Definition at line 2403 of file TMatrixTSparse.cxx.

◆ ResizeTo() [1/3]

template<class Element >
TMatrixTBase< Element > & TMatrixTSparse< Element >::ResizeTo ( Int_t  nrows,
Int_t  ncols,
Int_t  nr_nonzeros = -1 
)
virtual

Set size of the matrix to nrows x ncols with nr_nonzeros non-zero entries if nr_nonzeros > 0 .

New dynamic elements are created, the overlapping part of the old ones are copied to the new structures, then the old elements are deleted.

Implements TMatrixTBase< Element >.

Definition at line 1518 of file TMatrixTSparse.cxx.

◆ ResizeTo() [2/3]

template<class Element >
TMatrixTBase< Element > & TMatrixTSparse< Element >::ResizeTo ( Int_t  row_lwb,
Int_t  row_upb,
Int_t  col_lwb,
Int_t  col_upb,
Int_t  nr_nonzeros = -1 
)
virtual

Set size of the matrix to [row_lwb:row_upb] x [col_lwb:col_upb] with nr_nonzeros non-zero entries if nr_nonzeros > 0 .

New dynamic elements are created, the overlapping part of the old ones are copied to the new structures, then the old elements are deleted.

Implements TMatrixTBase< Element >.

Definition at line 1612 of file TMatrixTSparse.cxx.

◆ ResizeTo() [3/3]

template<class Element>
TMatrixTBase<Element>& TMatrixTSparse< Element >::ResizeTo ( const TMatrixTSparse< Element > &  m)
inline

Definition at line 113 of file TMatrixTSparse.h.

◆ RowNorm()

template<class Element >
Element TMatrixTSparse< Element >::RowNorm ( ) const
virtual

Row matrix norm, MAX{ SUM{ |M(i,j)|, over j}, over i}.

The norm is induced by the infinity vector norm.

Reimplemented from TMatrixTBase< Element >.

Definition at line 2100 of file TMatrixTSparse.cxx.

◆ SetColIndexArray()

template<class Element>
virtual TMatrixTBase<Element>& TMatrixTSparse< Element >::SetColIndexArray ( Int_t data)
inlinevirtual

Implements TMatrixTBase< Element >.

Definition at line 95 of file TMatrixTSparse.h.

◆ SetMatrixArray() [1/2]

template<class Element>
virtual TMatrixTBase<Element>& TMatrixTSparse< Element >::SetMatrixArray ( const Element *  data,
Option_t option = "" 
)
inlinevirtual

Copy array data to matrix .

It is assumed that array is of size >= fNelems (=)))) fNrows*fNcols option indicates how the data is stored in the array: option =

  • 'F' : column major (Fortran) m[i][j] = array[i+j*fNrows]
  • else : row major (C) m[i][j] = array[i*fNcols+j] (default)

Reimplemented from TMatrixTBase< Element >.

Definition at line 105 of file TMatrixTSparse.h.

◆ SetMatrixArray() [2/2]

template<class Element>
TMatrixTBase< Element > & TMatrixTSparse< Element >::SetMatrixArray ( Int_t  nr,
Int_t row,
Int_t col,
Element *  data 
)
virtual

Copy nr elements from row/col index and data array to matrix .

It is assumed that arrays are of size >= nr Note that the input arrays are not passed as const since they will be modified !

Definition at line 1172 of file TMatrixTSparse.cxx.

◆ SetRowIndexArray()

template<class Element>
virtual TMatrixTBase<Element>& TMatrixTSparse< Element >::SetRowIndexArray ( Int_t data)
inlinevirtual

Implements TMatrixTBase< Element >.

Definition at line 94 of file TMatrixTSparse.h.

◆ SetSparseIndex() [1/2]

template<class Element >
TMatrixTSparse< Element > & TMatrixTSparse< Element >::SetSparseIndex ( Int_t  nelem_new)

Increase/decrease the number of non-zero elements to nelems_new.

Definition at line 1262 of file TMatrixTSparse.cxx.

◆ SetSparseIndex() [2/2]

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::SetSparseIndex ( const TMatrixTBase< Element > &  another)

Use non-zero data of matrix source to set the sparse structure.

Definition at line 1296 of file TMatrixTSparse.cxx.

◆ SetSparseIndexAB() [1/3]

template<class Element>
TMatrixTSparse< Element > & 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 allocated.

Definition at line 1339 of file TMatrixTSparse.cxx.

◆ SetSparseIndexAB() [2/3]

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::SetSparseIndexAB ( const TMatrixT< 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 allocated.

Definition at line 1433 of file TMatrixTSparse.cxx.

◆ SetSparseIndexAB() [3/3]

template<class Element>
TMatrixTSparse<Element>& TMatrixTSparse< Element >::SetSparseIndexAB ( const TMatrixTSparse< Element > &  a,
const TMatrixT< Element > &  b 
)
inline

Definition at line 101 of file TMatrixTSparse.h.

◆ SetSub()

template<class Element>
TMatrixTBase< Element > & TMatrixTSparse< Element >::SetSub ( Int_t  row_lwb,
Int_t  col_lwb,
const TMatrixTBase< Element > &  source 
)
virtual

Insert matrix source starting at [row_lwb][col_lwb], thereby overwriting the part [row_lwb..row_lwb+nrows_source-1][col_lwb..col_lwb+ncols_source-1];.

Implements TMatrixTBase< Element >.

Definition at line 1851 of file TMatrixTSparse.cxx.

◆ T()

template<class Element>
TMatrixTSparse<Element>& TMatrixTSparse< Element >::T ( )
inline

Definition at line 148 of file TMatrixTSparse.h.

◆ Transpose()

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::Transpose ( const TMatrixTSparse< Element > &  source)

Transpose a matrix.

Definition at line 1987 of file TMatrixTSparse.cxx.

◆ UnitMatrix()

template<class Element >
TMatrixTBase< Element > & TMatrixTSparse< Element >::UnitMatrix ( )
virtual

Make a unit matrix (matrix need not be a square one).

Reimplemented from TMatrixTBase< Element >.

Definition at line 2058 of file TMatrixTSparse.cxx.

◆ Use() [1/6]

template<class Element>
TMatrixTSparse< Element > & 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 
)

Definition at line 1711 of file TMatrixTSparse.cxx.

◆ Use() [2/6]

template<class Element>
const TMatrixTSparse<Element>& 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
inline

Definition at line 127 of file TMatrixTSparse.h.

◆ Use() [3/6]

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::Use ( Int_t  nrows,
Int_t  ncols,
Int_t  nr_nonzeros,
Int_t pRowIndex,
Int_t pColIndex,
Element *  pData 
)
inline

Definition at line 223 of file TMatrixTSparse.h.

◆ Use() [4/6]

template<class Element>
const TMatrixTSparse< Element > & 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
inline

Definition at line 227 of file TMatrixTSparse.h.

◆ Use() [5/6]

template<class Element>
TMatrixTSparse< Element > & TMatrixTSparse< Element >::Use ( TMatrixTSparse< Element > &  a)
inline

Definition at line 231 of file TMatrixTSparse.h.

◆ Use() [6/6]

template<class Element>
const TMatrixTSparse< Element > & TMatrixTSparse< Element >::Use ( const TMatrixTSparse< Element > &  a) const
inline

Definition at line 237 of file TMatrixTSparse.h.

◆ Zero()

template<class Element >
TMatrixTBase< Element > & TMatrixTSparse< Element >::Zero ( )
virtual

Set matrix elements to zero.

Reimplemented from TMatrixTBase< Element >.

Definition at line 2042 of file TMatrixTSparse.cxx.

Member Data Documentation

◆ fColIndex

template<class Element>
Int_t* TMatrixTSparse< Element >::fColIndex
protected

Definition at line 40 of file TMatrixTSparse.h.

◆ fElements

template<class Element>
Element* TMatrixTSparse< Element >::fElements
protected

Definition at line 41 of file TMatrixTSparse.h.

◆ fRowIndex

template<class Element>
Int_t* TMatrixTSparse< Element >::fRowIndex
protected

Definition at line 39 of file TMatrixTSparse.h.


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