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				https://github.com/paboyle/Grid.git
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	Final version prior to reunification
This commit is contained in:
		@@ -35,9 +35,6 @@ Author: Christoph Lehner <clehner@bnl.gov>
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//#include <zlib.h>
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#include <sys/stat.h>
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#include <Grid/algorithms/iterative/BlockImplicitlyRestartedLanczos/BlockedGrid.h>
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#include <Grid/algorithms/iterative/BlockImplicitlyRestartedLanczos/FieldBasisVector.h>
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#include <Grid/algorithms/iterative/BlockImplicitlyRestartedLanczos/BlockProjector.h>
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namespace Grid { 
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@@ -178,7 +175,7 @@ class BlockImplicitlyRestartedLanczos {
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  ////////////////////////////////
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  // Embedded objects
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  ////////////////////////////////
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  SortEigen<Field> _sort;
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  //  SortEigen<Field> _sort;
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  LinearFunction<Field> &_HermOp;
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  LinearFunction<Field> &_HermOpTest;
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  /////////////////////////
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@@ -212,11 +209,10 @@ public:
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    return nn;
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  }
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  void orthogonalize(Field& w, BasisFieldVector<Field>& evec,int k)
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  void orthogonalize(Field& w, std::vector<Field>& evec,int k)
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  {
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    OrthoTime-=usecond()/1e6;
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    //evec.orthogonalize(w,k);
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    basisOrthogonalize(evec._v,w,k);
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    basisOrthogonalize(evec,w,k);
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    normalise(w);
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    OrthoTime+=usecond()/1e6;
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  }
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@@ -238,7 +234,7 @@ repeat
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  →AVK =VKHK +fKe†K † Extend to an M = K + P step factorization AVM = VMHM + fMeM
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until convergence
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*/
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  void calc(std::vector<RealD>& eval, BasisFieldVector<Field>& evec,  const Field& src, int& Nconv, bool reverse, int SkipTest)
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  void calc(std::vector<RealD>& eval, std::vector<Field>& evec,  const Field& src, int& Nconv, bool reverse, int SkipTest)
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  {
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    GridBase *grid = src._grid;
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    assert(grid == evec[0]._grid);
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@@ -341,7 +337,8 @@ until convergence
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      //////////////////////////////////
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      eval2_copy = eval2;
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      _sort.push(eval2,Nm);
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      //      _sort.push(eval2,Nm);
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      std::partial_sort(eval2.begin(),eval2.begin()+Nm,eval2.end());
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      std::cout<<GridLogIRL <<" evals sorted "<<std::endl;
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      for(int ip=0; ip<k2; ++ip) std::cout<<GridLogIRL << "eval "<< ip << " "<< eval2[ip] << std::endl;
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@@ -359,8 +356,7 @@ until convergence
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      assert(k2<Nm);
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      assert(k2<Nm);
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      assert(k1>0);
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      //      evec.rotate(Qt,k1-1,k2+1,0,Nm,Nm); /// big constraint on the basis
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      basisRotate(evec._v,Qt,k1-1,k2+1,0,Nm,Nm); /// big constraint on the basis
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      basisRotate(evec,Qt,k1-1,k2+1,0,Nm,Nm); /// big constraint on the basis
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      std::cout<<GridLogIRL <<"QR rotation done "<<std::endl;
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@@ -396,8 +392,7 @@ until convergence
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	Field ev0_orig(grid);
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	ev0_orig = evec[0];
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	//	evec.rotate(Qt,0,Nk,0,Nk,Nm);
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	basisRotate(evec._v,Qt,0,Nk,0,Nk,Nm);	    
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	basisRotate(evec,Qt,0,Nk,0,Nk,Nm);	    
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	{
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	  std::cout << GridLogIRL << "Test convergence" << std::endl;
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@@ -436,7 +431,6 @@ until convergence
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	    goto converged;
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	  }
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	  std::cout << GridLogIRL << "Convergence testing: Rotating back" << std::endl;
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	  //B[j] +=Qt[k+_Nm*j] * _v[k]._odata[ss];
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	  {
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	    Eigen::MatrixXd qm = Eigen::MatrixXd::Zero(Nk,Nk); // Restrict Qt to Nk x Nk
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@@ -445,16 +439,17 @@ until convergence
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		qm(j,k) = Qt(j,k);
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	    Eigen::MatrixXd qmI = qm.inverse();
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	    std::cout << GridLogIRL << "Inverted ("<<Nk<<"x"<<Nk<<") matrix " << std::endl;
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	    RealD res_check_rotate_inverse = (qm*qmI - Eigen::MatrixXd::Identity(Nk,Nk)).norm(); // sqrt( |X|^2 )
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	    std::cout << GridLogIRL << "\tInverted ("<<Nk<<"x"<<Nk<<") Qt matrix " <<  " error = " << res_check_rotate_inverse <<std::endl;
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	    assert(res_check_rotate_inverse < 1e-7);
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	    //evec.rotate(qmI,0,Nk,0,Nk,Nm);
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	    basisRotate(evec._v,qmI,0,Nk,0,Nk,Nm);
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	    basisRotate(evec,qmI,0,Nk,0,Nk,Nm);
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	    std::cout << GridLogIRL << "\t Basis rotation done "<<std::endl;
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	    axpy(ev0_orig,-1.0,evec[0],ev0_orig);
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	    std::cout << GridLogIRL << "Rotation done ; error = " << res_check_rotate_inverse << ");"<<std::endl;
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	    std::cout << GridLogIRL << " | evec[0] - evec[0]_orig | = "    << ::sqrt(norm2(ev0_orig)) << std::endl;
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	  }
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	}
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@@ -472,14 +467,16 @@ until convergence
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      eval = eval2;
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    } else {
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      // test quickly 
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      // PAB -- what precisely does this test? 
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      for (int j=0;j<Nstop;j+=SkipTest) {
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	std::cout<<GridLogIRL << "Eigenvalue[" << j << "] = " << eval2[j] << " (" << eval2_copy[j] << ")" << std::endl;
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      }
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      eval2_copy.resize(eval2.size());
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      eval = eval2_copy;
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    }
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    //    evec.sortInPlace(eval,reverse);
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    basisSortInPlace(evec._v,eval,reverse);
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    basisSortInPlace(evec,eval,reverse);
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    // test // PAB -- what does this test ?
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    for (int j=0;j<Nstop;j++) {
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      std::cout<<GridLogIRL << " |e[" << j << "]|^2 = " << norm2(evec[j]) << std::endl;
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@@ -507,7 +504,7 @@ until convergence
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 */
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  void step(std::vector<RealD>& lmd,
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	    std::vector<RealD>& lme, 
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	    BasisFieldVector<Field>& evec,
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	    std::vector<Field>& evec,
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	    Field& w,int Nm,int k)
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  {
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    const RealD tiny = 1.0e-20;
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