TMatrixTLazy.cxx File Reference

#include "TMatrixT.h"
#include "TMatrixTSym.h"
#include "TMatrixTLazy.h"
#include "TMath.h"

Include dependency graph for TMatrixTLazy.cxx:

Functions
template<class Element >
void	MakeHaarMat (TMatrixT< Element > &m)
	Create an orthonormal (2^n)*(no_cols) Haar (sub)matrix, whose columns are Haar functions.
template<class Element >
void	MakeHilbertMat (TMatrixT< Element > &m)
	Make a Hilbert matrix.
template<class Element >
void	MakeHilbertMat (TMatrixTSym< Element > &m)
	Make a Hilbert matrix.
	templateClassImp (THaarMatrixT)
	templateClassImp (THilbertMatrixT)
	templateClassImp (THilbertMatrixTSym)
	templateClassImp (TMatrixTLazy)
	templateClassImp (TMatrixTSymLazy)

Function Documentation

MakeHaarMat()

template<class Element >

void MakeHaarMat

(

TMatrixT< Element > &

m

)

Create an orthonormal (2^n)*(no_cols) Haar (sub)matrix, whose columns are Haar functions.

If no_cols is 0, create the complete matrix with 2^n columns. Example, the complete Haar matrix of the second order is: column 1: [ 1 1 1 1]/2 column 2: [ 1 1 -1 -1]/2 column 3: [ 1 -1 0 0]/sqrt(2) column 4: [ 0 0 1 -1]/sqrt(2) Matrix m is assumed to be zero originally.

Definition at line 60 of file TMatrixTLazy.cxx.

MakeHilbertMat() [1/2]

template<class Element >

void MakeHilbertMat

(

TMatrixT< Element > &

m

)

Make a Hilbert matrix.

Hilb[i,j] = 1/(i+j+1), i,j=0...max-1 (matrix need not be a square one).

Definition at line 150 of file TMatrixTLazy.cxx.

MakeHilbertMat() [2/2]

template<class Element >

void MakeHilbertMat

(

TMatrixTSym< Element > &

m

)

Make a Hilbert matrix.

Hilb[i,j] = 1/(i+j+1), i,j=0...max-1 (matrix must be square).

Definition at line 204 of file TMatrixTLazy.cxx.

templateClassImp() [1/5]

templateClassImp

(

THaarMatrixT

)

templateClassImp() [2/5]

templateClassImp

(

THilbertMatrixT

)

templateClassImp() [3/5]

templateClassImp

(

THilbertMatrixTSym

)

templateClassImp() [4/5]

templateClassImp

(

TMatrixTLazy

)

templateClassImp() [5/5]

templateClassImp

(

TMatrixTSymLazy

)