On Mon, Nov 5, 2018 at 3:23 PM Justin Chang via petsc-users < petsc-users@mcs.anl.gov> wrote:
> Hi everyone, > > I am working on a generic AC optimal power flow solver, and I hope to use > DMNetwork's data structure and TAO's optimization solvers for this purpose. > Last time I inquired about IPM (maybe 3-4 years ago) I was told that it's > not suitable for large-scale networks, which is the direction we're hoping > to go here at NREL. I see right now from the documentation website: > > "This algorithm is more of a place-holder for future constrained > optimization algorithms and should not yet be used for large problems or > production code." > > Is there any plans at the moment to have a high performance implementation > of IPM in TAO? It would be nice to have a purely PETSc code instead of > interfacing to something like IPOPT for the optimization. > Preliminary question. Are there reasons we expect IPM to be better than active sets? Thanks, Matt > Thanks, > Justin > -- 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 https://www.cse.buffalo.edu/~knepley/ <http://www.cse.buffalo.edu/~knepley/>