#include <HouseholderDecomposition.h>

Public Member Functions
	HouseholderDecomposition (int squareMode_=5, int mineta_=1, int maxeta_=85, int minphi_=1, int maxphi_=20)
	Default constructor.
int	indexSqr2Reg (const int &sqrIndex, const int &maxCeta, const int &maxCphi)
	Method to translate from square indices to region indices.
std::vector< float >	iterate (const std::vector< std::vector< float > > &eventMatrix, const std::vector< int > &VmaxCeta, const std::vector< int > &VmaxCphi, const std::vector< float > &energyVector, const int &nIter, const bool &normalizeFlag=false)
std::vector< float >	iterate (const std::vector< std::vector< float > > &eventMatrix, const std::vector< int > &VmaxCeta, const std::vector< int > &VmaxCphi, const std::vector< float > &energyVectorOrig)
	Run the Householder Algorithm. Returns the vector of calibration coefficients.
std::vector< float >	recalibrateEvent (const std::vector< float > &eventSquare, const int &maxCeta, const int &maxCphi, const std::vector< float > &recalibrateVector)
	Recalibrate before next iteration: give previous solution vector as argument.
std::vector< float >	runRegional (const std::vector< std::vector< float > > &eventMatrix, const std::vector< int > &VmaxCeta, const std::vector< int > &VmaxCphi, const std::vector< float > &energyVector, const int &nIter, const int &regLength=5)
	~HouseholderDecomposition ()
	Destructor.
Private Member Functions
bool	decompose ()
void	makeRegions (const int &regLength)
void	solve (std::vector< float > &y)
std::vector< std::vector< float > >	unzipMatrix (const std::vector< std::vector< float > > &eventMatrix, const std::vector< int > &VmaxCeta, const std::vector< int > &VmaxCphi)
	Unzips the skimmed matrix into a full matrix.
Private Attributes
std::vector< float >	alpha
int	countEvents
std::vector< float >	energyVectorProc
std::vector< std::vector< float > >	eventMatrixOrig
std::vector< std::vector< float > >	eventMatrixProc
int	maxeta
int	maxphi
int	mineta
int	minphi
int	Nchannels
int	Neta
int	Nevents
int	Nphi
int	Nxtals
std::vector< int >	pivot
std::vector< int >	regMaxEta
std::vector< int >	regMaxPhi
std::vector< int >	regMinEta
std::vector< int >	regMinPhi
float	sigmaReplacement
int	squareMode

Detailed Description

Implementation of the QR decomposition of a matrix using Householder transformation

13.03.2007: R.Ofierzynski

using a reduced matrix
implements Regional Householder Algorithm

Date:: 2010/08/06 20:24:06

Revision:: 1.4

Author:: Lorenzo Agostino, R.Ofierzynski, CERN

Definition at line 19 of file HouseholderDecomposition.h.

Constructor & Destructor Documentation

HouseholderDecomposition::HouseholderDecomposition	(	int	squareMode_ = `5`,
		int	mineta_ = `1`,
		int	maxeta_ = `85`,
		int	minphi_ = `1`,
		int	maxphi_ = `20`
	)

Default constructor.

Definition at line 14 of file HouseholderDecomposition.cc.

References maxeta, maxphi, mineta, minphi, Nchannels, Neta, Nphi, Nxtals, sigmaReplacement, and squareMode.

  :squareMode(squareMode_), countEvents(0),mineta(mineta_), maxeta(maxeta_), minphi(minphi_), maxphi(maxphi_)
{
  Neta = maxeta - mineta + 1;
  if (mineta * maxeta < 0) Neta--; // there's no eta index = 0
  Nphi = maxphi - minphi + 1;
  if (Nphi <0) Nphi += 360;
  
  Nchannels = Neta * Nphi; // no. of channels, get it from edges of the region

  Nxtals = squareMode*squareMode; // no. of xtals in one event

  sigmaReplacement = 0.00001; // the sum of columns is replaced by this value in case it is zero (e.g. dead crystal)

}

HouseholderDecomposition::~HouseholderDecomposition ( )

Destructor.

Definition at line 30 of file HouseholderDecomposition.cc.

{
}

Member Function Documentation

bool HouseholderDecomposition::decompose ( ) [private]

Make decomposition input: m=number of events, n=number of channels, qr=event matrix output: qr = transformed event matrix, alpha, pivot returns a boolean value, true if decomposition worked, false if it didn't

Definition at line 347 of file HouseholderDecomposition.cc.

References alpha, beta, eventMatrixProc, i, j, gen::k, Nchannels, Nevents, pivot, sigmaReplacement, mathSSE::sqrt(), and detailsBasic3DVector::y.

Referenced by iterate().

{
  int i,j,jbar,k;
  float beta,sigma,alphak,eventMatrixkk;
  std::vector<float> y(Nchannels);
  std::vector<float> sum(Nchannels);

  //  std::cout << "Householder::decompose() started" << std::endl;
  
  for (j=0;j<Nchannels;j++) 
    {
      // jth column sum: squared sum for each crystal
      sum[j]=0.;
      for (i=0;i<Nevents;i++)
        sum[j]+=eventMatrixProc[i][j]*eventMatrixProc[i][j];
      
      // bookkeeping vector
      pivot[j] = j;
    }
  
  for (k=0;k<Nchannels;k++) 
    {
      // kth Householder transformation
      sigma = sum[k];
      jbar = k;
      
      // go through all following columns
      // find the largest sumSquared in the following columns
      for (j=k+1;j<Nchannels;j++) 
        {
          if (sum[j] > sigma) 
            {
              sigma = sum[j];
              jbar=j;
            }
        }

      if (jbar != k) 
        {
          // column interchange:
          //     interchange within: bookkeeping vector, squaredSum, eventMatrixProc 

          i = pivot[k];
          pivot[k]=pivot[jbar];
          pivot[jbar]=i;

          sum[jbar]=sum[k];
          sum[k]=sigma;
          
          for (i=0;i<Nevents;i++) 
            {
              sigma=eventMatrixProc[i][k];
              eventMatrixProc[i][k]=eventMatrixProc[i][jbar];
              eventMatrixProc[i][jbar]=sigma;
            }
        } // end column interchange

      // now store in sigma the squared sum of the readoutEnergies for this column(crystal)
      sigma=0.;
      for (i=k;i<Nevents;i++)
        {
          sigma+=eventMatrixProc[i][k]*eventMatrixProc[i][k];
        }

      // found a zero-column, bail out
      if (sigma == 0.) 
        {
//        std::cout << "Householder::decompose() failed" << std::endl;
//        return false;
          // rof 14.12.2006: workaround to avoid failure of algorithm because of dead crystals:
          sigma = sigmaReplacement;
          //      std::cout << "Householder::decompose - found zero column " << jbar << ", replacing sum of column elements by " << sigma << std::endl;
        }


      // the following paragraph acts only on the diagonal element:
      // if element=0, then calculate alpha & beta

      // take the diagonal element
      eventMatrixkk = eventMatrixProc[k][k];

      if (eventMatrixkk < 0.) 
        alpha[k] = sqrt(sigma);
      else
        alpha[k] = sqrt(sigma) * (-1.);

      alphak = alpha[k];

      beta = 1 / (sigma - eventMatrixkk * alphak);
      // replace it
      eventMatrixProc[k][k] = eventMatrixkk - alphak;

      for (j=k+1; j<Nchannels; j++) 
        {
          y[j] = 0.;

          for (i=k; i<Nevents; i++)
            {
              y[j] += eventMatrixProc[i][k] * eventMatrixProc[i][j];
            }

          y[j] *= beta;
        }

      for (j=k+1; j<Nchannels; j++) 
        {
          for (i=k; i<Nevents; i++) 
            {
              eventMatrixProc[i][j] -= eventMatrixProc[i][k] * y[j];
              sum[j] -= eventMatrixProc[k][j] * eventMatrixProc[k][j];
            }
        }
    } // end of kth householder transformation
  
  //  std::cout << "Householder::decompose() finished" << std::endl;
  
  return true;
}

int HouseholderDecomposition::indexSqr2Reg	(	const int &	sqrIndex,
		const int &	maxCeta,
		const int &	maxCphi
	)

Method to translate from square indices to region indices.

Definition at line 529 of file HouseholderDecomposition.cc.

References maxeta, maxphi, mineta, minphi, and squareMode.

Referenced by recalibrateEvent(), runRegional(), and unzipMatrix().

{
  int regionIndex;

  // get the current eta, phi indices
  int curr_eta = maxCeta - squareMode/2 + sqrIndex%squareMode;
  if (curr_eta * maxCeta <= 0) {if (maxCeta > 0) curr_eta--; else curr_eta++; }  // JUMP over 0

  int curr_phi = maxCphi - squareMode/2 + sqrIndex/squareMode;
  if (curr_phi < 1) curr_phi += 360;
  if (curr_phi > 360) curr_phi -= 360;

  bool negPhiDirection = (maxphi < minphi);
  int iFullphi;

  regionIndex = -1;

  if (curr_eta >= mineta && curr_eta <= maxeta)
    if ( (!negPhiDirection && (curr_phi >= minphi && curr_phi <= maxphi)) ||
         (negPhiDirection && !(curr_phi >= minphi && curr_phi <= maxphi))      ) 
      {
        iFullphi = curr_phi - minphi;
        if (iFullphi < 0) iFullphi += 360;
        regionIndex = (curr_eta - mineta) * (maxphi - minphi + 1 + 360*negPhiDirection) + iFullphi;
      }

  return regionIndex;
}

std::vector< float > HouseholderDecomposition::iterate	(	const std::vector< std::vector< float > > &	eventMatrix,
		const std::vector< int > &	VmaxCeta,
		const std::vector< int > &	VmaxCphi,
		const std::vector< float > &	energyVector,
		const int &	nIter,
		const bool &	normalizeFlag = `false`
	)

Run the Householder Algorithm several times (nIter). Returns the final vector of calibration coefficients. Comment from author: unless you do a new selection in between the iterations you don't need to run more than once; a second iteration on the same events does not improve the result in this case

Definition at line 134 of file HouseholderDecomposition.cc.

References i, j, Nchannels, Nevents, Nxtals, and recalibrateEvent().

Referenced by ElectronCalibration::endJob(), ElectronCalibrationUniv::endJob(), and runRegional().

{
  Nevents = eventMatrix.size(); // Number of events to calibrate with

  std::vector<float> totalSolution(Nchannels,1.);
  std::vector<float> iterSolution;
  std::vector<std::vector<float> > myEventMatrix(eventMatrix);
  std::vector<float> myEnergyVector(energyVector);

  int i, j;

  // Iterate the correction
  for (int iter=1;iter<=nIter;iter++) 
    {

      // if normalization flag is set, normalize energies
      float sumOverEnergy;
      if (normalizeFlag)
        {
          float scale = 0.;
          
          for (i=0; i<Nevents; i++)
            {
              sumOverEnergy = 0.;
              for (j=0; j<Nxtals; j++) {sumOverEnergy += myEventMatrix[i][j];}
              sumOverEnergy /= myEnergyVector[i];
              scale += sumOverEnergy;
            }
          scale /= Nevents;
          
          for (i=0; i<Nevents; i++) {myEnergyVector[i] *= scale;}         
        } // end normalize energies



      // now the real work starts:
      iterSolution = iterate(myEventMatrix,VmaxCeta,VmaxCphi,myEnergyVector);

      if (iterSolution.empty()) return iterSolution;

      // re-calibrate eventMatrix with solution
      for (int ievent = 0; ievent<Nevents; ievent++)
        {
          myEventMatrix[ievent] = recalibrateEvent(myEventMatrix[ievent], VmaxCeta[ievent], VmaxCphi[ievent], iterSolution);
        }

      for (int i=0; i<Nchannels; i++) 
        {
          // save solution into theCalibVector
          totalSolution[i] *= iterSolution[i];
        }

    } // end iterate correction

  return totalSolution;
}

std::vector< float > HouseholderDecomposition::iterate	(	const std::vector< std::vector< float > > &	eventMatrix,
		const std::vector< int > &	VmaxCeta,
		const std::vector< int > &	VmaxCphi,
		const std::vector< float > &	energyVectorOrig
	)

Run the Householder Algorithm. Returns the vector of calibration coefficients.

Definition at line 193 of file HouseholderDecomposition.cc.

References alpha, gather_cfg::cout, decompose(), energyVectorProc, eventMatrixOrig, eventMatrixProc, i, j, Nchannels, Nevents, pivot, solve(), and unzipMatrix().

{
  std::vector<float> solution; 

  Nevents=eventMatrix.size();      // Number of events to calibrate with

  if (Nchannels > Nevents)
    {
      std::cout << "Householder::runIter(): more channels to calibrate than events available. " << std::endl;
      std::cout << "  Nchannels=" << Nchannels << std::endl;
      std::cout << "  Nevents=" << Nevents << std::endl;
      std::cout << " ******************    ERROR   *********************" << std::endl;
      return solution; // empty vector
    }

  // input: eventMatrixOrig - the unzipped matrix
  eventMatrixOrig = unzipMatrix(eventMatrix,VmaxCeta,VmaxCphi);

 if (eventMatrixOrig.size() != energyVectorOrig.size())
    {
      std::cout << "Householder::runIter(): matrix dimensions non-conformant. " << std::endl;
      std::cout << "  energyVectorOrig.size()=" << energyVectorOrig.size() << std::endl;
      std::cout << "  eventMatrixOrig.size()=" << eventMatrixOrig.size() << std::endl;
      std::cout << " ******************    ERROR   *********************" << std::endl;
      return solution; // empty vector
    }


  int i,j;
  eventMatrixProc = eventMatrixOrig;
  energyVectorProc = energyVectorOrig; // copy energyVectorOrig vector
  std::vector<float> e(Nchannels);
  alpha.assign(Nchannels,0.);
  pivot.assign(Nchannels,0);
  

  //--------------------
  bool decomposeSuccess = decompose();

  if( !decomposeSuccess ) 
    {
      std::cout << "Householder::runIter(): Failed: Singular condition in decomposition."<< std::endl;
      std::cout << "***************** PROBLEM in DECOMPOSITION *************************"<<std::endl;
      return solution; // empty vector
    }

  /* DBL_EPSILON: Difference between 1.0 and the minimum float greater than 1.0 */
  float mydbleps = 2.22045e-16;  //DBL_EPSILON;
  float etasqr = mydbleps*mydbleps; 
  //  std::cout << "LOOK at DBL_EPSILON :" << mydbleps <<std::endl;


  //--------------------
  // apply transformations to rhs - find solution vector
  solution.assign(Nchannels,0.);
  solve(solution);


  // compute residual vector energyVectorProc
  for (i=0;i<Nevents;i++) 
    {
      energyVectorProc[i] = energyVectorOrig[i];
      for (j=0; j<Nchannels; j++)
        {
          energyVectorProc[i]-=eventMatrixOrig[i][j]*solution[j];
        }
    }


  //--------------------
  // compute first correction vector e
  solve(e);

  float normy0=0.;
  float norme1=0.;
  float norme0;
    



  for (i=0;i<Nchannels;i++) 
    {
      normy0 += solution[i] * solution[i];
      norme1 += e[i] * e[i];
    }
  
//  std::cout << "Householder::runIter(): applying first correction";
//  std::cout << " normy0 = " << normy0;
//  std::cout << " norme1 = " << norme1 << std::endl;

  // not attempt at obtaining the solution is made unless the norm of the first
  // correction  is significantly smaller than the norm of the initial solution
  if (norme1>(0.0625*normy0)) 
    {
      //      std::cout << "Householder::runIter(): first correction is too large. Failed." << std::endl;
    }

  // improve the solution
  for (i=0; i<Nchannels; i++)
    {
      solution[i]+=e[i];
    }

  //  std::cout << "Householder::runIter(): improving solution...." << std::endl;

  //--------------------
  // only continue iteration if the correction was significant
  while (norme1>(etasqr*normy0)) 
    {
      //      std::cout << "Householder::runIter(): norme1 = " << norme1 << std::endl;
    
      for (i=0; i<Nevents; i++) 
        {
          energyVectorProc[i] = energyVectorOrig[i];
          for (j=0; j<Nchannels; j++)
            {
              energyVectorProc[i] -= eventMatrixOrig[i][j] * solution[j];
            }
        }

    // compute next correction vector
    solve(e);

    norme0 = norme1;
    norme1 = 0.;

    for (i=0;i<Nchannels;i++)
      {
        norme1+=e[i]*e[i];
      }

    // terminate iteration if the norm of the new correction failed to decrease
    // significantly compared to the norm of the previous correction
    if (norme1>(0.0625*norme0)) break;

    // apply correction vector
    for (i=0;i<Nchannels;i++)
      {
        solution[i]+=e[i];
      }
  }

  //clean up
  eventMatrixOrig.clear();
  eventMatrixProc.clear();
  energyVectorProc.clear();
  alpha.clear();
  pivot.clear();

  
  return solution;
}

void HouseholderDecomposition::makeRegions ( const int & regLength ) [private]

Determines the regions used for splitting of the full matrix and calibrating separately used by the public runRegional method

Definition at line 579 of file HouseholderDecomposition.cc.

References abs, i, j, mineta, minphi, Neta, Nphi, regMaxEta, regMaxPhi, regMinEta, regMinPhi, and squareMode.

Referenced by runRegional().

{
  //  int regFrame = regLength/2;
  int regFrame = squareMode/2;
  // first eta:
  int remEta = Neta % regLength;
  if (remEta > regLength/2) remEta -= regLength;
  int numSubRegEta = Neta / regLength + (remEta < 0)*1;

  int addtoEta = remEta / numSubRegEta;
  int addtomoreEta = remEta % numSubRegEta; // add "addtomore" number of times (addto+1), remaining times add just (addto)

  // then phi:
  int remPhi = Nphi % regLength;
  if (remPhi > regLength/2) remPhi -= regLength;
  int numSubRegPhi = Nphi / regLength + (remPhi < 0)*1;

  int addtoPhi = remPhi / numSubRegPhi;
  int addtomorePhi = remPhi % numSubRegPhi; // add "addtomore" number of times (addto+-1), remaining times add just (addto)

  // now put it all together
  int addedLengthEta = 0;
  int addedLengthPhi = 0;
  int startIndexEta = mineta;
  int startIndexPhi;
  int endIndexEta = 0;
  int endIndexPhi;
  for (int i=0; i < numSubRegEta; i++)
    {
      addedLengthEta = regLength + addtoEta + addtomoreEta/abs(addtomoreEta)*(i<abs(addtomoreEta));
      endIndexEta = startIndexEta + addedLengthEta - 1;

      startIndexPhi = minphi;
      endIndexPhi = 0;
      for (int j=0; j < numSubRegPhi; j++)
        {
          addedLengthPhi = regLength + addtoPhi + addtomorePhi/abs(addtomorePhi)*(j<abs(addtomorePhi));
          endIndexPhi = startIndexPhi + addedLengthPhi - 1;

          regMinPhi.push_back(startIndexPhi - regFrame*(j!=0) );
          regMaxPhi.push_back(endIndexPhi + regFrame*(j!=(numSubRegPhi-1)) );
          regMinEta.push_back(startIndexEta - regFrame*(i!=0) );
          regMaxEta.push_back(endIndexEta + regFrame*(i!=(numSubRegEta-1)) );

          startIndexPhi = endIndexPhi + 1;
        }
      startIndexEta = endIndexEta + 1;
    }

//  // print it all
//  std::cout << "Householder::makeRegions created the following regions for calibration:" << std::endl;
//  for (int i=0; i<regMinEta.size(); i++)
//    std::cout << "Region " << i << ": eta = " << regMinEta[i] << " to " << regMaxEta[i] << ", phi = " << regMinPhi[i] << " to " << regMaxPhi[i] << std::endl;

}

std::vector< float > HouseholderDecomposition::recalibrateEvent	(	const std::vector< float > &	eventSquare,
		const int &	maxCeta,
		const int &	maxCphi,
		const std::vector< float > &	recalibrateVector
	)

Recalibrate before next iteration: give previous solution vector as argument.

Definition at line 514 of file HouseholderDecomposition.cc.

References i, indexSqr2Reg(), and Nxtals.

Referenced by iterate(), and runRegional().

{
  std::vector<float> newEventSquare(eventSquare);
  int iFull;

  for (int i=0; i<Nxtals; i++) 
    {
      iFull = indexSqr2Reg(i, maxCeta, maxCphi);
      if (iFull >=0)
        newEventSquare[i] *= recalibrateVector[iFull];
    }
  return newEventSquare;
}

std::vector< float > HouseholderDecomposition::runRegional	(	const std::vector< std::vector< float > > &	eventMatrix,
		const std::vector< int > &	VmaxCeta,
		const std::vector< int > &	VmaxCphi,
		const std::vector< float > &	energyVector,
		const int &	nIter,
		const int &	regLength = `5`
	)

Run Regional HouseholderAlgorithm (fast version), that splits matrix into regional matrices and inverts them separately. Returns the final vector of calibration coefficients. input: eventMatrix - the skimmed event matrix, VmaxCeta, VmaxCphi - vectors containing eta and phi indices of the maximum containment crystal for each event, energyVector - the energy vector, nIter - number of iterations to be performed, regLength - default length of the region (in eta- and phi-indices), regLength=5 recommended Comment from author: if you use the same events, 2 iterations are recommended; the second iteration gives corrections of the order of 0.0001

Definition at line 35 of file HouseholderDecomposition.cc.

References i, indexSqr2Reg(), iterate(), makeRegions(), maxeta, maxphi, mineta, minphi, Nchannels, Nevents, Nphi, Nxtals, recalibrateEvent(), regMaxEta, regMaxPhi, regMinEta, regMinPhi, and squareMode.

Referenced by ElectronCalibration::endJob(), and ElectronCalibrationUniv::endJob().

{
  // make regions
  makeRegions(regLength);

  Nevents = eventMatrix.size(); // Number of events to calibrate with

  std::vector<float> totalSolution(Nchannels,1.);
  std::vector<float> iterSolution(Nchannels,1.);
  std::vector<std::vector<float> > myEventMatrix(eventMatrix);
  std::vector<float> myEnergyVector(energyVector);

  // loop over nIter
  for (int iter=1;iter<=nIter;iter++) 
    {
      // loop over regions
      for (unsigned int ireg=0; ireg<regMinEta.size(); ireg++)
        {
          std::vector<float> regIterSolution, regEnergyVector;
          std::vector<int> regVmaxCeta, regVmaxCphi;
          std::vector<std::vector<float> > regEventMatrix;

          // initialize new instance with regional min,max indices
          HouseholderDecomposition regionalHH(squareMode,regMinEta[ireg],regMaxEta[ireg],regMinPhi[ireg],regMaxPhi[ireg]);

          // copy all events in region into new eventmatrix, energyvector, VmaxCeta, VmaxCphi
          for (unsigned int ia=0; ia<VmaxCeta.size(); ia++)
            {
              if ((VmaxCeta[ia] >= regMinEta[ireg]) && (VmaxCeta[ia] <= regMaxEta[ireg])
                  && (VmaxCphi[ia] >= regMinPhi[ireg]) && (VmaxCphi[ia] <= regMaxPhi[ireg]))
                {
                  // save event, calculate new eventmatrix(truncated) and energy
                  regVmaxCeta.push_back(VmaxCeta[ia]);
                  regVmaxCphi.push_back(VmaxCphi[ia]);

                  std::vector<float> regEvent = myEventMatrix[ia];
                  float regEnergy = energyVector[ia];
                  for (int i2=0; i2<Nxtals; i2++)
                    {
                      int iFullReg = regionalHH.indexSqr2Reg(i2, VmaxCeta[ia], VmaxCphi[ia]);
                      if (iFullReg <0) // crystal outside
                        {
                          regEnergy -= regEvent[i2];
                          regEvent[i2] = 0.;
                        }
                    }
                  regEventMatrix.push_back(regEvent);
                  regEnergyVector.push_back(regEnergy);
                }
            }

          // calibrate
          //      std::cout << "HouseholderDecomposition::runRegional - Starting calibration of region " << ireg << ": eta " 
          //           << regMinEta[ireg] << " to " << regMaxEta[ireg] << ", phi " << regMinPhi[ireg] << " to " << regMaxPhi[ireg] << std::endl;
          regIterSolution = regionalHH.iterate(regEventMatrix, regVmaxCeta, regVmaxCphi, regEnergyVector);
          //      std::cout << "HouseholderDecomposition::runRegional - calibration of region finished. " << std::endl;

          // save solution into global iterSolution
          // don't forget to delete the ones that are on the border !
          for (unsigned int i1=0; i1<regIterSolution.size(); i1++)
            {
              int regFrame = regLength/2;
              int currRegPhiRange = regMaxPhi[ireg] - regMinPhi[ireg] + 1;
              int currRegEta = i1 / currRegPhiRange + regMinEta[ireg];
              int currRegPhi = i1 % currRegPhiRange + regMinPhi[ireg];
              int newindex = -100;
              // if crystal well inside:
              if ( (currRegEta >= (regMinEta[ireg]+regFrame*(!(regMinEta[ireg]==mineta))) ) &&
                   (currRegEta <= (regMaxEta[ireg]-regFrame*(!(regMaxEta[ireg]==maxeta))) ) &&
                   (currRegPhi >= (regMinPhi[ireg]+regFrame*(!(regMinPhi[ireg]==minphi))) ) &&
                   (currRegPhi <= (regMaxPhi[ireg]-regFrame*(!(regMaxPhi[ireg]==maxphi))) ) )
                {
                  newindex = (currRegEta-mineta)*Nphi + currRegPhi-minphi;
                  iterSolution[newindex] = regIterSolution[i1];
                }
            }
        } // end loop over regions

      if (iterSolution.empty()) return iterSolution;
      
      // re-calibrate eventMatrix with solution
      for (int ievent = 0; ievent<Nevents; ievent++)
        {
          myEventMatrix[ievent] = recalibrateEvent(myEventMatrix[ievent], VmaxCeta[ievent], VmaxCphi[ievent], iterSolution);
        }
      
      // save solution into theCalibVector
      for (int i=0; i<Nchannels; i++) 
        {
          totalSolution[i] *= iterSolution[i];
        }
      
    } // end loop over nIter

  return totalSolution;

}

void HouseholderDecomposition::solve ( std::vector< float > & y ) [private]

Apply transformations to rhs output: r = residual vector (energy vector), y = solution

Definition at line 467 of file HouseholderDecomposition.cc.

References alpha, energyVectorProc, eventMatrixProc, i, j, Nchannels, Nevents, pivot, and z.

Referenced by iterate().

{
  std::vector<float> z(Nchannels,0.);

  float gamma;
  int i,j;

  //  std::cout << "Householder::solve() begin" << std::endl;

  for (j=0; j<Nchannels; j++) 
    {
      // apply jth transformation to the right hand side
      gamma = 0.;
      for (i=j; i<Nevents; i++)
        {
          gamma += eventMatrixProc[i][j] * energyVectorProc[i];
        }
      gamma /= (alpha[j] * eventMatrixProc[j][j]);

      for (i=j; i<Nevents; i++)
        {
          energyVectorProc[i] += gamma * eventMatrixProc[i][j];
        }
    }

  z[Nchannels-1] = energyVectorProc[Nchannels-1] / alpha[Nchannels-1];

  for (i=Nchannels-2; i>=0; i--) 
    {
      z[i] = energyVectorProc[i];
      for (j=i+1; j<Nchannels; j++)
        {
          z[i] -= eventMatrixProc[i][j]*z[j];
        }
      z[i] /= alpha[i];
    }
  
  for (i=0; i<Nchannels; i++)
    {
      y[pivot[i]] = z[i];
    }
  
  //  std::cout << "Householder::solve() finished." << std::endl;
  
}

std::vector< std::vector< float > > HouseholderDecomposition::unzipMatrix	(	const std::vector< std::vector< float > > &	eventMatrix,
		const std::vector< int > &	VmaxCeta,
		const std::vector< int > &	VmaxCphi
	)		`[private]`

Unzips the skimmed matrix into a full matrix.

Definition at line 558 of file HouseholderDecomposition.cc.

References i, indexSqr2Reg(), gen::k, Nchannels, Nevents, and Nxtals.

Referenced by iterate().

{
  std::vector< std::vector<float> > fullMatrix;

  int iFull;

  for (int i=0; i<Nevents; i++)
    {
      std::vector<float> foo(Nchannels,0.);
      for (int k=0; k<Nxtals; k++)
        {
          iFull = indexSqr2Reg(k, VmaxCeta[i], VmaxCphi[i]);
          if (iFull >=0)
            foo[iFull] = eventMatrix[i][k];
        }
      fullMatrix.push_back(foo);
    }

  return fullMatrix;
}