


  <<<<<<     Set IOP = 1  and M = 30       >>>>>> 




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =  30
     sampling strategy                     =   1
     number of problem                     =   1

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.15500307E-02
      iter =     50   ||rel|| = 0.95906437E-05
      iter =     56   ||rel|| = 0.89478103E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =  30
     sampling strategy                     =   1
     number of problem                     =   2

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     11   ||rel|| = 0.57324422E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =  30
     sampling strategy                     =   1
     number of problem                     =   3

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     22   ||rel|| = 0.63825353E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =  30
     sampling strategy                     =   1
     number of problem                     =   4

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     12   ||rel|| = 0.56146545E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =  30
     sampling strategy                     =   1
     number of problem                     =   5

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =      8   ||rel|| = 0.78922894E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =  30
     sampling strategy                     =   1
     number of problem                     =   6

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     11   ||rel|| = 0.82069330E-07



  <<<<<<     Set IOP = 2  and M =  7       >>>>>> 




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   7
     sampling strategy                     =   2
     number of problem                     =   1

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.15500307E-02
      iter =     50   ||rel|| = 0.95906437E-05
      iter =     56   ||rel|| = 0.89478103E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   7
     sampling strategy                     =   2
     number of problem                     =   2

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.14997032E-02
      iter =     50   ||rel|| = 0.15146962E-04
      iter =     54   ||rel|| = 0.68440120E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   7
     sampling strategy                     =   2
     number of problem                     =   3

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.32553627E-03
      iter =     50   ||rel|| = 0.26293489E-05
      iter =     60   ||rel|| = 0.71295603E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   7
     sampling strategy                     =   2
     number of problem                     =   4

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.14809879E-02
      iter =     50   ||rel|| = 0.27576475E-04
      iter =     70   ||rel|| = 0.84209220E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   7
     sampling strategy                     =   2
     number of problem                     =   5

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.14385671E-02
      iter =     50   ||rel|| = 0.43287658E-04
      iter =     72   ||rel|| = 0.74397554E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   7
     sampling strategy                     =   2
     number of problem                     =   6

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.15451067E-02
      iter =     50   ||rel|| = 0.49004698E-04
      iter =     72   ||rel|| = 0.75439556E-07



  <<<<<<     Set IOP = 1  and M =  3       >>>>>> 




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   3
     sampling strategy                     =   1
     number of problem                     =   1

     ||rel|| is the norm of the relative residual



   ** Warning in PREQN: m is not an even number
      m-1 pairs will be stored

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.15500307E-02
      iter =     50   ||rel|| = 0.95906437E-05
      iter =     56   ||rel|| = 0.89478103E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   2
     sampling strategy                     =   1
     number of problem                     =   2

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.25855303E-04
      iter =     50   ||rel|| = 0.32533160E-06
      iter =     53   ||rel|| = 0.48719813E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   2
     sampling strategy                     =   1
     number of problem                     =   3

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.29257196E-04
      iter =     48   ||rel|| = 0.90683139E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   2
     sampling strategy                     =   1
     number of problem                     =   4

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.12406410E-04
      iter =     50   ||rel|| = 0.14837894E-06
      iter =     53   ||rel|| = 0.73128882E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   2
     sampling strategy                     =   1
     number of problem                     =   5

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.27642626E-04
      iter =     50   ||rel|| = 0.11082077E-06
      iter =     52   ||rel|| = 0.56272520E-07




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =   2
     sampling strategy                     =   1
     number of problem                     =   6

     ||rel|| is the norm of the relative residual

      iter =      0   ||rel|| = 0.10000000E+01
      iter =     25   ||rel|| = 0.14909751E-04
      iter =     50   ||rel|| = 0.16229704E-06
      iter =     52   ||rel|| = 0.72888570E-07



  <<<<<<    Set LWP  < (m+1)*(4*n+2)+1     >>>>>> 




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =  30
     sampling strategy                     =   1
     number of problem                     =   1

     ||rel|| is the norm of the relative residual



   ** Error in PREQN: insufficient storage



   * Abnormal termination in PCG. Error in PREQN




  <<<<<<       Set LIWP < 2*m + 30         >>>>>> 




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =  30
     sampling strategy                     =   1
     number of problem                     =   1

     ||rel|| is the norm of the relative residual



   ** Error in PREQN: insufficient storage



   * Abnormal termination in PCG. Error in PREQN




  <<<<<<           Set IOP = 0             >>>>>> 




               *** New Problem ***
  Preconditioned Conjugate Gradient method using 
  a quasi-Newton preconditioner 

     number of pairs in the preconditioner =  30
     sampling strategy                     =   0
     number of problem                     =   1

     ||rel|| is the norm of the relative residual



   ** Error in PREQN: incorrect input parameters



   * Abnormal termination in PCG. Error in PREQN

