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	Addtional routines for Lanczos (SYM2, Chebyshef)..
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		@@ -270,6 +270,35 @@ namespace Grid {
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      }
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    };
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    template<class Matrix,class Field>
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      class SchurDiagTwoOperator :  public SchurOperatorBase<Field> {
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    protected:
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      Matrix &_Mat;
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    public:
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      SchurDiagTwoOperator (Matrix &Mat): _Mat(Mat){};
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      virtual  RealD Mpc      (const Field &in, Field &out) {
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	Field tmp(in._grid);
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	_Mat.MooeeInv(in,out);
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	_Mat.Meooe(out,tmp);
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	_Mat.MooeeInv(tmp,out);
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	_Mat.Meooe(out,tmp);
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	return axpy_norm(out,-1.0,tmp,in);
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      }
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      virtual  RealD MpcDag   (const Field &in, Field &out){
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	Field tmp(in._grid);
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	_Mat.MeooeDag(in,out);
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	_Mat.MooeeInvDag(out,tmp);
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	_Mat.MeooeDag(tmp,out);
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	_Mat.MooeeInvDag(out,tmp);
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	return axpy_norm(out,-1.0,tmp,in);
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      }
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    };
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    /////////////////////////////////////////////////////////////
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    // Base classes for functions of operators
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@@ -83,7 +83,8 @@ namespace Grid {
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  public:
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    void csv(std::ostream &out){
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      for (RealD x=lo; x<hi; x+=(hi-lo)/1000) {
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	RealD diff = hi-lo;
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      for (RealD x=lo-0.2*diff; x<hi+0.2*diff; x+=(hi-lo)/1000) {
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	RealD f = approx(x);
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	out<< x<<" "<<f<<std::endl;
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      }
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@@ -100,10 +101,24 @@ namespace Grid {
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    Chebyshev(){};
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    Chebyshev(RealD _lo,RealD _hi,int _order, RealD (* func)(RealD) ) {Init(_lo,_hi,_order,func);};
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    Chebyshev(RealD _lo,RealD _hi,int _order) {Init(_lo,_hi,_order);};
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    ////////////////////////////////////////////////////////////////////////////////////////////////////
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    // c.f. numerical recipes "chebft"/"chebev". This is sec 5.8 "Chebyshev approximation".
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    ////////////////////////////////////////////////////////////////////////////////////////////////////
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// CJ: the one we need for Lanczos
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    void Init(RealD _lo,RealD _hi,int _order)
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    {
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      lo=_lo;
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      hi=_hi;
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      order=_order;
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      if(order < 2) exit(-1);
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      Coeffs.resize(order);
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      Coeffs.assign(0.,order);
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      Coeffs[order-1] = 1.;
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    };
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    void Init(RealD _lo,RealD _hi,int _order, RealD (* func)(RealD))
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    {
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      lo=_lo;
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@@ -38,6 +38,8 @@ template<class Field>
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class SortEigen {
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 private:
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//hacking for testing for now
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#if 0
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  static bool less_lmd(RealD left,RealD right){
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    return fabs(left) < fabs(right);
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  }  
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@@ -45,6 +47,15 @@ class SortEigen {
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		 std::pair<RealD,Field>& right){
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    return fabs(left.first) < fabs(right.first);
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  }  
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#else
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  static bool less_lmd(RealD left,RealD right){
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    return left > right;
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  }  
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  static bool less_pair(std::pair<RealD,Field>& left,
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		 std::pair<RealD,Field>& right){
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    return left.first > (right.first);
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  }  
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#endif
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 public:
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@@ -241,20 +241,15 @@ public:
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  double evals_tmp[NN];
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  double evec_tmp[NN][NN];
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  memset(evec_tmp[0],0,sizeof(double)*NN*NN);
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  double AA[NN][NN];
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//  double AA[NN][NN];
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  double DD[NN];
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  double EE[NN];
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  memset(AA, 0, sizeof(double)*NN*NN);
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  //    memset(ZZ, 0, sizeof(double)*NN*NN);
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  for (int i = 0; i< NN; i++)
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    for (int j = i - 1; j <= i + 1; j++)
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      if ( j < NN && j >= 0 ) {
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//        AA[i][j] = AH(i,j);
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        if (i==j) DD[i] = lmd[i];
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        if (i==j) evals_tmp[i] = lmd[i];
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        if (j==(i-1)) EE[j] = lme[j];
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        //        if (i<20 && j<20)
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//        std:: cout << "AA["<<i<<"]["<<j<<"]="<<AA[i][j]<<endl;
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      }
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  int evals_found;
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  int lwork = ( (18*NN) > (1+4*NN+NN*NN)? (18*NN):(1+4*NN+NN*NN)) ;
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@@ -301,7 +296,6 @@ public:
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        }
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      }
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      {
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//        TIMER("QMP_sum_double_array");
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//        QMP_sum_double_array(evals_tmp,NN);
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//        QMP_sum_double_array((double *)evec_tmp,NN*NN);
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         _fgrid.GlobalSumVector(evals_tmp,NN);
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