[petsc-users] Question about using MatSNESMFWPSetComputeNormU

Matthew Knepley knepley at gmail.com
Thu Oct 6 09:47:12 CDT 2016


On Thu, Oct 6, 2016 at 9:23 AM, Choi Kyungjun <kyungjun.choi92 at gmail.com>
wrote:

> Dear Matt.
>
> Thank you very much for your help.
>
> I'm currently working on PETSc library into 2-D compressible Euler / NS
> equation solver, especially for convergence of steady state problem.
>
> I  adjusted my flow code as you told me, using snes_mf command line
> option, but I have a question about SNESsetFunction, especially function
> evaluation routine.
>
>
> My command line option goes like this, as you told me.
>
> *-snes_mf -pc_type none -snes_view -snes_monitor -ksp_monitor
> -snes_converged_reason -ksp_converged_reason*
>
>
> I remember that if I use snes_mf option, the matrix-free method is applied
> with computing Jacobian like below.
>

More precisely, it computes the action of the Jacobian on a vector a.


>
> [image: 본문 이미지 1](captured from Petsc Manual p.113)
>
> But I computed Jacobian with function evaluation routine, with
> SNESSetFunction(snes, r, FormPetscResidual, userctx, ier).
>
> I referred to my reference code which computes Jacobian like below.
>

Again, this is the action of the Jacobian, and this formula makes no sense
to me. I also do not understand the two sentences above.


> F'(u) a = -F(u) - (volume)/dt *a
>
> This is just reverse calculation of equation, not matrix-free form. This
> is done at the function evaluation routine (FormPetscResidual).
>
>
> *I want to ask how I can use the REAL matrix-free form.*
>

I do not know what you mean here. You are using the MF form is you give
-snes_mf.

  Thanks,

    Matt


> I'll attach my flow code and computation log below.
>
>
> Thank you so much every time for your sincere help.
>
> Kyungjun.
>
>
>
> *================================================================================*
> *(This is the flow code, and vectors are already created.)*
>
> *call SNESCreate(PETSC_COMM_WORLD, Mixt%snes, ier)*
>
> *call SNESSetFunction(Mixt%snes, Mixt%r, FormPetscResidual, Collect, ier)*
>
> *call SNESSetFromOptions(Mixt%snes, ier)*
>
>
> *================================================================================*
> *(This is function evaluation routine)*
>
> *subroutine FormPetscResidual(snes, x, f, Collect, ier)*
>  type(t_Collect), intent(inout) :: Collect
>
>   SNES :: snes
>   Vec :: x, f
>   integer :: ier, counter, iCell, iVar, temp
>   integer :: ndof
>   real(8), allocatable :: CVar(:,:)
>   real(8), allocatable :: PVar(:,:)
>   PetscScalar, pointer :: xx_v(:)
>   PetscScalar, pointer :: ff_v(:)
>
>   ! Set degree of freedom of this system.
>   ndof = Collect%pMixt%nCVar * Collect%pGrid%nCell
>
>   ! Backup the original values for cv to local array CVar
>   allocate( CVar(0:Collect%pMixt%nCVar-1, Collect%pGrid%nCell) )
>   allocate( PVar(0:Collect%pMixt%nPVar-1, Collect%pGrid%nCell) )
>   allocate( xx_v(1:ndof) )
>   allocate( ff_v(1:ndof) )
>   xx_v(:) = 0d0
>   ff_v(:) = 0d0
>
>   ! Backup the original values for cv and pv
>   do iCell = 1, Collect%pGrid%nCell
>     do iVar = 0, Collect%pMixt%nCVar-1
>       CVar(iVar,iCell) = Collect%pMixt%cv(iVar,iCell)
>       PVar(iVar,iCell) = Collect%pMixt%pv(iVar,iCell)
>     end do
>   end do
>
>   ! Copy the input argument vector x to array value xx_v
>   call VecGetArrayReadF90(x, xx_v, ier)
>   call VecGetArrayF90(f, ff_v, ier)
>
>   ! Compute copy the given vector into Mixt%cv and check for validity
>   counter = 0
>   do iCell = 1, Collect%pGrid%nCell
>     do iVar = 0, Collect%pMixt%nCVar-1
>       counter = counter + 1
>       Collect%pMixt%cv(iVar,iCell) = xx_v(counter)
>     end do
>   end do
>
>   ! Update primitive variables with input x vector to compute residual
>   call PostProcessing(Collect%pMixt,Collect%pGrid,Collect%pConf)
>
>
>   ! Compute the residual
>   call ComputeResidual(Collect%pMixt,Collect%pGrid,Collect%pConf)   -->
> where update residual of cell
>
>   ! Copy the residual array into the PETSc vector
>   counter = 0
>   do iCell = 1, Collect%pGrid%nCell
>     do iVar = 0, Collect%pMixt%nCVar-1
>       counter = counter + 1
>
>      * ff_v(counter) = Collect%pMixt%Residual(iVar,iCell) +
> Collect%pGrid%vol(iCell)/Collect%pMixt%TimeStep(iCell)*(
> Collect%pMixt%cv(iVar,iCell) - CVar(iVar,iCell) )*
>     end do
>   end do
>
>   ! Restore conservative variables
>   do iCell = 1, Collect%pGrid%nCell
>     do iVar = 0, Collect%pMixt%nCVar-1
>       Collect%pMixt%cv(iVar,iCell) = CVar(iVar,iCell)
>       Collect%pMixt%pv(iVar,iCell) = PVar(iVar,iCell)
>     end do
>   end do
>
>   call VecRestoreArrayReadF90(x, xx_v, ier)
>   call VecRestoreArrayF90(f, ff_v, ier)
>
>   deallocate(CVar)
>   deallocate(PVar)
>
> *end subroutine*
>
>
>
> *================================================================================*
> *Computation log*
> [image: 본문 이미지 2]
>
>
>
>
>
> 2016-08-19 21:14 GMT+09:00 Barry Smith <bsmith at mcs.anl.gov>:
>
>>
>>    It looks like the SNESView() you have below was called before you ever
>> did a solve, hence it prints the message "information may be incomplete".
>> Note also zero function evaluations have been done in the SNESSolve, if the
>> solve had been called it should be great than 0.
>>
>> SNES Object: 1 MPI processes
>>   type: newtonls
>>   SNES has not been set up so information may be incomplete
>>
>> This is also why it prints
>>
>> The compute h routine has not yet been set
>>
>> The information about the h routine won't be printed until after an
>> actual solve is done and the "compute h" function is set.
>>
>>   Barry
>>
>> Note you can call MatMFFDSetType() to control the "compute h" function
>> that is used.
>>
>>
>>
>> > On Aug 19, 2016, at 12:04 AM, 최경준 <kyungjun.choi92 at gmail.com> wrote:
>> >
>> > Dear Barry and Matt.
>> >
>> > Thank you very much for helping me up all night. (in my time)
>> >
>> > And sorry for not asking with sufficient source code condition or my
>> circumstances. (also with poor English.)
>> >
>> >
>> > I just want to make sure that the options of my code is well applied.
>> >
>> > I'm trying to use GMRES with matrix-free method. I'd like to solve 2-D
>> euler equation without preconditioning matrix, for now.
>> >
>> >
>> > 1) I'm still curious whether my snes context is using MF jacobian. (
>> just like -snes_mf command line option)
>> >
>> > 2) And mind if I ask you that whether I applied petsc functions
>> properly?
>> >
>> > I'll check out ex5 for applying command line options.
>> >
>> >
>> > I'll attach my petsc flow code and option log by SNESView() below.
>> > ------------------------------------------------------------
>> --------------------------------------------------------
>> > - petsc flow code
>> > ------------------------------------------------------------
>> --------------------------------------------------------
>> >
>> > ndof = Mixt%nCVar * Grid%nCell
>> >
>> > call VecCreateMPIWIthArray(PETSC_COMM_WORLD, Mixt%nCVar, ndof,
>> PETSC_DECIDE, Mixt%cv, Mixt%x, ier)
>> > call VecDuplicate(Mixt%x, Mixt%r, ier)
>> > call VecSet(Mixt%r, zero, ier)
>> >
>> > call SNESCreate(PETSC_COMM_WORLD, Mixt%snes, ier)
>> > call SNESSetFunction(Mixt%snes, Mixt%r, FormPetscResidual, Collect, ier)
>> > call MatCreateSNESMF(Mixt%snes, Mixt%A, ier)
>> >
>> > call SNESSetJacobian(Mixt%snes, Mixt%A, Mixt%A, MatMFFDComputeJacobian,
>> Collect, ier)
>> > call SNESSetFromOptions(Mixt%snes, ier)
>> >
>> > call SNESGetKSP(Mixt%snes, ksp, ier)
>> > call KSPSetType(ksp, KSPGMRES, ier)
>> > call KSPGetPC(ksp, pc, ier)
>> > call PCSetType(pc, PCNONE, ier)
>> > call KSPSetInitialGuessNonzero(ksp, PETSC_TRUE, ier)
>> > call KSPGMRESSetRestart(ksp, 30, ier)
>> > call KSPGMRESSetPreAllocation(ksp, ier)
>> >
>> >
>> > call SNESSetFunction(Mixt%snes, Mixt%r, FormPetscResidual, Collect, ier)
>> > call SNESSetJacobian(Mixt%snes, Mixt%A, Mixt%A, MatMFFDComputeJacobian,
>> Collect, ier)
>> >
>> > call SNESSolve(Mixt%snes, PETSC_NULL_OBJECT, Mixt%x, ier)
>> >
>> > stop ( for temporary )
>> >
>> >
>> > ------------------------------------------------------------
>> --------------------------------------------------------
>> > subroutine FormPetscResidual(snes, x, f, Collect, ier)
>> >  type(t_Collect), intent(inout) :: Collect
>> >
>> >   SNES :: snes
>> >   Vec :: x, f
>> >   integer :: ier, counter, iCell, iVar, temp
>> >   integer :: ndof
>> >   real(8), allocatable :: CVar(:,:)
>> >   real(8), allocatable :: PVar(:,:)
>> >   PetscScalar, pointer :: xx_v(:)
>> >   PetscScalar, pointer :: ff_v(:)
>> >
>> >   ! Set degree of freedom of this system.
>> >   ndof = Collect%pMixt%nCVar * Collect%pGrid%nCell
>> >
>> >   ! Backup the original values for cv to local array CVar
>> >   allocate( CVar(0:Collect%pMixt%nCVar-1, Collect%pGrid%nCell) )
>> >   allocate( PVar(0:Collect%pMixt%nPVar-1, Collect%pGrid%nCell) )
>> >   allocate( xx_v(1:ndof) )
>> >   allocate( ff_v(1:ndof) )
>> >   xx_v(:) = 0d0
>> >   ff_v(:) = 0d0
>> >
>> >   ! Backup the original values for cv and pv
>> >   do iCell = 1, Collect%pGrid%nCell
>> >     do iVar = 0, Collect%pMixt%nCVar-1
>> >       CVar(iVar,iCell) = Collect%pMixt%cv(iVar,iCell)
>> >       PVar(iVar,iCell) = Collect%pMixt%pv(iVar,iCell)
>> >     end do
>> >   end do
>> >
>> >   ! Copy the input argument vector x to array value xx_v
>> >   call VecGetArrayReadF90(x, xx_v, ier)
>> >   call VecGetArrayF90(f, ff_v, ier)
>> >
>> >   ! Compute copy the given vector into Mixt%cv and check for validity
>> >   counter = 0
>> >   do iCell = 1, Collect%pGrid%nCell
>> >     do iVar = 0, Collect%pMixt%nCVar-1
>> >       counter = counter + 1
>> >       Collect%pMixt%cv(iVar,iCell) = xx_v(counter)
>> >     end do
>> >   end do
>> >
>> >   ! Update primitive variables with input x vector to compute residual
>> >   call PostProcessing(Collect%pMixt,Collect%pGrid,Collect%pConf)
>> >
>> >
>> >   ! Compute the residual
>> >   call ComputeResidual(Collect%pMixt,Collect%pGrid,Collect%pConf)
>>  --> where update residual of cell
>> >
>> >   ! Copy the residual array into the PETSc vector
>> >   counter = 0
>> >   do iCell = 1, Collect%pGrid%nCell
>> >     do iVar = 0, Collect%pMixt%nCVar-1
>> >       counter = counter + 1
>> >
>> >       ff_v(counter) = Collect%pMixt%Residual(iVar,iCell) +
>> Collect%pGrid%vol(iCell)/Collect%pMixt%TimeStep(iCell)*(
>> Collect%pMixt%cv(iVar,iCell) - CVar(iVar,iCell) )
>> >     end do
>> >   end do
>> >
>> >   ! Restore conservative variables
>> >   do iCell = 1, Collect%pGrid%nCell
>> >     do iVar = 0, Collect%pMixt%nCVar-1
>> >       Collect%pMixt%cv(iVar,iCell) = CVar(iVar,iCell)
>> >       Collect%pMixt%pv(iVar,iCell) = PVar(iVar,iCell)
>> >     end do
>> >   end do
>> >
>> >   call VecRestoreArrayReadF90(x, xx_v, ier)
>> >   call VecRestoreArrayF90(f, ff_v, ier)
>> >
>> >   deallocate(CVar)
>> >   deallocate(PVar)
>> > ------------------------------------------------------------
>> --------------------------------------------------------
>> >
>> >
>> > ------------------------------------------------------------
>> --------------------------------------------------------
>> > - option log
>> > ------------------------------------------------------------
>> --------------------------------------------------------
>> > SNES Object: 1 MPI processes
>> >   type: newtonls
>> >   SNES has not been set up so information may be incomplete
>> >   maximum iterations=1, maximum function evaluations=10000
>> >   tolerances: relative=1e-08, absolute=1e-32, solution=1e-08
>> >   total number of linear solver iterations=0
>> >   total number of function evaluations=0
>> >   norm schedule ALWAYS
>> >   SNESLineSearch Object:   1 MPI processes
>> >     type: bt
>> >       interpolation: cubic
>> >       alpha=1.000000e-04
>> >     maxstep=1.000000e+08, minlambda=1.000000e-12
>> >     tolerances: relative=1.000000e-08, absolute=1.000000e-15,
>> lambda=1.000000e-08
>> >     maximum iterations=40
>> >   KSP Object:   1 MPI processes
>> >     type: gmres
>> >       GMRES: restart=30, using Classical (unmodified) Gram-Schmidt
>> Orthogonalization with no iterative refinement
>> >       GMRES: happy breakdown tolerance 1e-30
>> >     maximum iterations=10000
>> >     tolerances:  relative=0.001, absolute=1e-50, divergence=10000.
>> >     left preconditioning
>> >     using nonzero initial guess
>> >     using DEFAULT norm type for convergence test
>> >   PC Object:   1 MPI processes
>> >     type: none
>> >     PC has not been set up so information may be incomplete
>> >     linear system matrix = precond matrix:
>> >     Mat Object:     1 MPI processes
>> >       type: mffd
>> >       rows=11616, cols=11616
>> >         Matrix-free approximation:
>> >           err=1.49012e-08 (relative error in function evaluation)
>> >           The compute h routine has not yet been set
>> >
>> >
>> > Sincerely,
>> >
>> > Kyungjun
>> >
>> >
>> > 2016-08-19 13:00 GMT+09:00 Barry Smith <bsmith at mcs.anl.gov>:
>> >
>> > > On Aug 18, 2016, at 10:28 PM, 최경준 <kyungjun.choi92 at gmail.com> wrote:
>> > >
>> > > Dear Matt.
>> > >
>> > > I didn't use the command line options because it looked not working.
>> > >
>> > > I called SNESSetFromOptions(snes, ier) in my source code,
>> > >
>> > > but options like -snes_mf or -snes_monitor doesn't look  working.
>> >
>> >   "doesn't work" is not useful to help us figure out what has gone
>> wrong. You need to show us EXACTLY what you did by sending the code you
>> compiled and the command line options you ran and all the output include
>> full error messages. Without the information we simply do not have enough
>> information to even begin to guess why it "doesn't work".
>> >
>> >    Barry
>> >
>> >
>> > >
>> > >
>> > > Is there anything that I should consider more?
>> > >
>> > >
>> > > 2016-08-19 4:47 GMT+09:00 Matthew Knepley <knepley at gmail.com>:
>> > > On Thu, Aug 18, 2016 at 2:44 PM, 최경준 <kyungjun.choi92 at gmail.com>
>> wrote:
>> > > Is there a part that you considered this as finite-difference
>> approximation?
>> > > I thought I used matrix-free method with MatCreateSNESMF() function
>> > >
>> > > You did not tell the SNES to use a MF Jacobian, you just made a Mat
>> object. This is why
>> > >     we encourage people to use the command line. Everything is setup
>> correctly and in order.
>> > >     Why would you choose not to. This creates long rounds of email.
>> > >
>> > >    Matt
>> > >
>> > > Also I used
>> > > - call PCSetType(pc, PCNONE, ier)  --> so the pc type shows 'none' at
>> the log
>> > >
>> > >
>> > > I didn't use any of command line options.
>> > >
>> > >
>> > > Kyungjun
>> > >
>> > > 2016-08-19 4:27 GMT+09:00 Barry Smith <bsmith at mcs.anl.gov>:
>> > >
>> > >    You can't use that Jacobian function SNESComputeJacobianDefault
>> with matrix free, it tries to compute the matrix entries and stick them
>> into the matrix. You can use MatMFFDComputeJacobian
>> > >
>> > > > On Aug 18, 2016, at 2:03 PM, 최경준 <kyungjun.choi92 at gmail.com> wrote:
>> > > >
>> > > > I got stuck at FormJacobian stage.
>> > > >
>> > > > - call SNESComputeJacobianDefault(snes, v, J, pJ, FormResidual,
>> ier)  --> J & pJ are same with A matrix-free matrix (input argument)
>> > > >
>> > > >
>> > > >
>> > > > with these kind of messages..
>> > > >
>> > > > [0]PETSC ERROR: No support for this operation for this object type
>> > > > [0]PETSC ERROR: Mat type mffd
>> > > >
>> > > >
>> > > >
>> > > > Guess it's because I used A matrix-free matrix (which is mffd type)
>> into pJ position.
>> > > >
>> > > > Is there any solution for this kind of situation?
>> > > >
>> > > >
>> > > > 2016-08-19 2:05 GMT+09:00 Matthew Knepley <knepley at gmail.com>:
>> > > > On Thu, Aug 18, 2016 at 12:04 PM, 최경준 <kyungjun.choi92 at gmail.com>
>> wrote:
>> > > > Then in order not to use preconditioner,
>> > > >
>> > > > is it ok if I just put A matrix-free matrix (made from
>> MatCreateSNESMF()) into the place where preA should be?
>> > > >
>> > > > Yes, but again the solve will likely perform very poorly.
>> > > >
>> > > >   Thanks,
>> > > >
>> > > >      Matt
>> > > >
>> > > > The flow goes like this
>> > > > - call SNESCreate
>> > > > - call SNESSetFunction(snes, r, FormResidual, userctx, ier)
>> > > > - call MatCreateSNESMF(snes, A, ier)
>> > > > - call SNESSetJacobian(snes, A, A, FormJacobian, userctx, ier)
>> > > > - call SNESSetFromOptions()
>> > > >
>> > > > - call SNESGetKSP(snes, ksp, ier)
>> > > > - call KSPSetType(ksp, KSPGMRES, ier)
>> > > > - call KSPGetPC(ksp, pc, ier)
>> > > > - call PCSetType(pc, PCNONE, ier)
>> > > > - call KSPGMRESSetRestart(ksp, 30, ier)
>> > > >
>> > > > - call SNESSolve()
>> > > > .
>> > > > .
>> > > >
>> > > >
>> > > > and inside the FormJacobian routine
>> > > > - call SNESComputeJacobian(snes, v, J, pJ, userctx, ier)  --> J and
>> pJ must be pointed with A and A.
>> > > >
>> > > >
>> > > >
>> > > > Thank you again,
>> > > >
>> > > > Kyungjun.
>> > > >
>> > > > 2016-08-19 1:44 GMT+09:00 Matthew Knepley <knepley at gmail.com>:
>> > > > On Thu, Aug 18, 2016 at 11:42 AM, 최경준 <kyungjun.choi92 at gmail.com>
>> wrote:
>> > > > Thanks for your helpful answers.
>> > > >
>> > > > Here's another question...
>> > > >
>> > > > As I read some example PETSc codes, I noticed that there should be
>> a preconditioning matrix (e.g. approx. jacobian matrix) when using
>> MatCreateSNESMF().
>> > > >
>> > > > I mean,
>> > > > after calling MatCreateSNESMF(snes, A, ier),
>> > > > there should be another matrix preA(preconditioning matrix) to use
>> SNESSetJacobian(snes, A, preA, FormJacobian, ctx, ier).
>> > > >
>> > > >
>> > > > 1) Is there any way that I can use matrix-free method without
>> making preconditioning matrix?
>> > > >
>> > > > Don't use a preconditioner. As you might expect, this does not
>> often work out well.
>> > > >
>> > > > 2) I have a reference code, and the code adopts
>> > > >
>> > > > MatFDColoringCreate()
>> > > > and finally uses
>> > > > SNESComputeJacobianDefaultColor() at FormJacobian stage.
>> > > >
>> > > > But I can't see the inside of the fdcolor and I'm curious of this
>> mechanism. Can you explain this very briefly or tell me an example code
>> that I can refer to. ( I think none of PETSc example code is using
>> fdcolor..)
>> > > >
>> > > > This is the default, so there is no need for all that code. We use
>> naive graph 2-coloring. I think there might be a review article by Alex
>> Pothen about that.
>> > > >
>> > > >   Thanks,
>> > > >
>> > > >     Matt
>> > > >
>> > > >
>> > > > Best,
>> > > >
>> > > > Kyungjun.
>> > > >
>> > > > 2016-08-19 0:54 GMT+09:00 Matthew Knepley <knepley at gmail.com>:
>> > > > On Thu, Aug 18, 2016 at 10:39 AM, 최경준 <kyungjun.choi92 at gmail.com>
>> wrote:
>> > > > 1) I wanna know the difference between applying option with command
>> line and within source code.
>> > > > From my experience, command line option helps set other default
>> settings that I didn't applied, I guess.
>> > > >
>> > > > The command line arguments are applied to an object when
>> *SetFromOptions() is called, so in this case
>> > > > you want SNESSetFromOptions() on the solver. There should be no
>> difference from using the API.
>> > > >
>> > > > 2) I made a matrix-free matrix with MatCreateSNESMF function, and
>> every time I check my snes context with SNESView,
>> > > >
>> > > >     Mat Object:     1 MPI processes
>> > > >       type: mffd
>> > > >       rows=11616, cols=11616
>> > > >         Matrix-free approximation:
>> > > >           err=1.49012e-08 (relative error in function evaluation)
>> > > >           The compute h routine has not yet been set
>> > > >
>> > > > at the end of line shows there's no routine for computing h value.
>> > > > I used MatMFFDWPSetComputeNormU function, but it didn't work I
>> think.
>> > > > Is it ok if I leave the h value that way? Or should I have to set h
>> computing routine?
>> > > >
>> > > > I am guessing you are calling the function on a different object
>> from the one that is viewed here.
>> > > > However, there will always be a default function for computing h.
>> > > >
>> > > >   Thanks,
>> > > >
>> > > >     Matt
>> > > >
>> > > > Kyungjun.
>> > > >
>> > > > 2016-08-18 23:18 GMT+09:00 Matthew Knepley <knepley at gmail.com>:
>> > > > On Thu, Aug 18, 2016 at 8:35 AM, 최경준 <kyungjun.choi92 at gmail.com>
>> wrote:
>> > > > Hi, I'm trying to set my SNES matrix-free with Walker & Pernice way
>> of computing h value.
>> > > >
>> > > > I found above command (MatSNESMFWPSetComputeNormU) but my fortran
>> compiler couldn't fine any reference of that command.
>> > > >
>> > > > I checked Petsc changes log, but there weren't any mentions about
>> that command.
>> > > >
>> > > > Should I have to include another specific header file?
>> > > >
>> > > > We have this function
>> > > >
>> > > >   http://www.mcs.anl.gov/petsc/petsc-current/docs/manualpages
>> /Mat/MatMFFDWPSetComputeNormU.html
>> > > >
>> > > > but I would recommend using the command line option
>> > > >
>> > > >   -mat_mffd_compute_normu
>> > > >
>> > > >   Thanks,
>> > > >
>> > > >      Matt
>> > > >
>> > > > Thank you always.
>> > > >
>> > > >
>> > > >
>> > > > --
>> > > > What most experimenters take for granted before they begin their
>> experiments is infinitely more interesting than any results to which their
>> experiments lead.
>> > > > -- Norbert Wiener
>> > > >
>> > > >
>> > > >
>> > > >
>> > > > --
>> > > > What most experimenters take for granted before they begin their
>> experiments is infinitely more interesting than any results to which their
>> experiments lead.
>> > > > -- Norbert Wiener
>> > > >
>> > > >
>> > > >
>> > > >
>> > > > --
>> > > > What most experimenters take for granted before they begin their
>> experiments is infinitely more interesting than any results to which their
>> experiments lead.
>> > > > -- Norbert Wiener
>> > > >
>> > > >
>> > > >
>> > > >
>> > > > --
>> > > > What most experimenters take for granted before they begin their
>> experiments is infinitely more interesting than any results to which their
>> experiments lead.
>> > > > -- Norbert Wiener
>> > > >
>> > >
>> > >
>> > >
>> > >
>> > >
>> > > --
>> > > What most experimenters take for granted before they begin their
>> experiments is infinitely more interesting than any results to which their
>> experiments lead.
>> > > -- Norbert Wiener
>> > >
>> >
>> >
>>
>>
>


-- 
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener
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