Hi Paul,

Thanks for your tips. I extracted the current_solution in the follow 
way, but I got an all-zero result when running with multiple processors. 
Only the single processor yielded the right result. Do I miss something?

NonlinearSystem system;
PetscVector v;
v.init( *(system.current_local_solution) );
v = *(system.current_local_solution);
v.close();
v.print_global(ofstream); //I want to output the values of the entire 
vector globally

I verified that the vector v was closed. But print_global() still 
generated an all-zero vector.

Thanks,
Dafang

On 01/15/2014 09:20 PM, Paul T. Bauman wrote:
> I've done something similar to this. You'll need to catch the error 
> the solver throws (ConvergenceFailure, I think, double check), then 
> reset the solution to your cached, good solution. This can be done by 
> grabbing the solution vector from the system. Don't forget to close() 
> the solution vector once you're done reseting.
>
> HTH,
>
> Paul
>
>
> On Tue, Jan 14, 2014 at 7:03 PM, Dafang Wang <[email protected] 
> <mailto:[email protected]>> wrote:
>
>     Hi folks,
>
>     Does anyone know how to set the initial guess solution of a
>     nonlinear system from a known vector? My code is in the following
>     manner:
>
>     NonlinearImplicitSystem system.
>     Vector v1 = system.current_solution();  //Step1
>     system.solve();
>     if the nonlinear solve diverges
>        Reset system.current_solution by using v1;  //Step 2
>     end
>
>     I am not sure how to implement steps #1 and #2.
>
>     My situation is: if the nonlinear solve fails to converge, the
>     partial solution will be a bad starting point for me to solve the
>     system again, because the system is unstable. As such, I would
>     like to book keep the last good solution before doing a solve and,
>     if the solve fails, I will be able to reset the system.
>
>     Any suggestions will be greatly appreciated.
>
>     Cheers,
>     Dafang
>     --
>     Dafang Wang, Ph.D.
>     Postdoctoral Fellow
>     Institute of Computational Medicine
>     Hackerman Hall, Room 218
>     Johns Hopkins University, Baltimore, 21218
>     http://lagniappe.icm.jhu.edu/~dwang/
>     <http://lagniappe.icm.jhu.edu/%7Edwang/>
>
>     
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-- 
Dafang Wang, Ph.D
Postdoctoral Fellow
Institute of Computational Medicine
Department of Biomedical Engineering
Johns Hopkins University
Hackerman Hall Room 218
Baltimore, MD, 21218
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