I've seen a few threads in this direction: See Sanjukta Bhowmick's work on combining machine learning with PETSc to start: http://cs.unomaha.edu/~bhowmick/Blog/Entries/2010/9/12_Solvers_for_Large_Sparse_Linear_Systems.html
HYPRE has something along the lines of this as well, but I have not seen any promising results. Don't forget that even slightly different problems can have wildly different convergence properties, you want a solver that is both fast and robust to changes in your input parameters. A On Mon, Feb 14, 2011 at 1:27 PM, Michel Cancelliere <fernandez858 at gmail.com>wrote: > Dear users, > > I've implemented a simple hydrocarbon reservoir simulator using PETSc, the > simulator is used inside an iterative loop in which thousand of simulations > are run with different input parameters(In order to calibrate the properties > of the model). I would like to use those iterations to tuneup the parameters > of the solver (precoditioner,type of linear solver, restart, etc...), Have > someone working with that?, Do you know some papers where I can some > information about that? > > Thank you for your time, > > Michel > -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.mcs.anl.gov/pipermail/petsc-users/attachments/20110214/d059a515/attachment.htm>
