[petsc-users] linesearch problem in snes composite
Matthew Knepley
knepley at gmail.com
Wed Jun 15 16:53:32 CDT 2016
On Wed, Jun 15, 2016 at 10:31 AM, Xiangdong <epscodes at gmail.com> wrote:
> Hello everyone,
>
> I am using the snes composite with the following options:
> -snes_type composite
> -snes_composite_type multiplicative
> -snes_composite_sneses newtonls
> -snes_linesearch_type bt
> -sub_0_snes_linesearch_type basic
> -snes_linesearch_monitor
> -sub_0_snes_linesearch_monitor
>
> I only use single newtonls in the composite for helping me understand how
> the composite works. By specifying the -snes_linesearch_type bt, I am
> expecting the norm decrease in each iterations. Moreover,
> -snes_linesearch_monitor should print the information on the step size.
> However, when I ran the codes, I found that no information on the step size
> of linesearch is output and the residual norm sometimes is NOT decreasing
> given the bt option provided. It seems that the snes_linesearch_bt is not
> working in this setting or I messed up the options somewhere.
>
> The linesearch works in the sub_0 level if I specify
> the -sub_0_snes_linesearch_type bt. I do not understand why it does not
> work in the overall level.
>
SNESComposite does not use a line search. I have not seen any theory to
suggest that this is a good idea.
You could get the effect of a line search with SNESComposite by left
preconditioning NRICH with it.
Thanks,
Matt
> Here is the snes norm information as well as the output of snes_view. Is
> there a way to get the linesearch working on the overall level?
>
>
> 0 SNES Function norm 1.436371027798e+04
> 0 SNES Function norm 1.436371027798e+04
> 1 SNES Function norm 1.562640838177e+04
> 1 SNES Function norm 1.562640838177e+04
> 0 SNES Function norm 1.562640838177e+04
> 1 SNES Function norm 5.101254678006e+03
> 2 SNES Function norm 5.101254678006e+03
> 0 SNES Function norm 5.101254678006e+03
> 1 SNES Function norm 1.287999851800e+03
> 3 SNES Function norm 1.287999851800e+03
> 0 SNES Function norm 1.287999851800e+03
> 1 SNES Function norm 3.781864044552e+02
> 4 SNES Function norm 3.781864044552e+02
> 0 SNES Function norm 3.781864044552e+02
> 1 SNES Function norm 9.895411709407e+01
> 5 SNES Function norm 9.895411709407e+01
> 0 SNES Function norm 9.895411709407e+01
> 1 SNES Function norm 6.379856588223e+00
> 6 SNES Function norm 6.379856588223e+00
> Nonlinear solve converged due to CONVERGED_FNORM_RELATIVE iterations 6
> SNES Object: 256 MPI processes
> type: composite
> Composite SNES type - MULTIPLICATIVE
> SNESes on composite preconditioner follow
> ---------------------------------
> SNES Object: (sub_0_) 256 MPI processes
> type: newtonls
> maximum iterations=1, maximum function evaluations=10000
> tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
> total number of linear solver iterations=188
> total number of function evaluations=1
> SNESLineSearch Object: (sub_0_) 256 MPI processes
> type: basic
> 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: (sub_0_) 256 MPI processes
> type: bcgsl
> BCGSL: Ell = 2
> BCGSL: Delta = 0
> maximum iterations=5000, initial guess is zero
> tolerances: relative=0.001, absolute=1e-50, divergence=10000
> left preconditioning
> using PRECONDITIONED norm type for convergence test
> PC Object: (sub_0_) 256 MPI processes
> type: sor
> SOR: type = local_symmetric, iterations = 1, local iterations =
> 1, omega = 1
> linear system matrix = precond matrix:
> Mat Object: jac 256 MPI processes
> type: mpiaij
> rows=2244000, cols=2244000, bs=2
> total: nonzeros=3.112e+07, allocated nonzeros=3.112e+07
> total number of mallocs used during MatSetValues calls =0
> ---------------------------------
> maximum iterations=10, maximum function evaluations=10000
> tolerances: relative=0.001, absolute=1e-50, solution=1e-08
> total number of linear solver iterations=0
> total number of function evaluations=1
> SNESLineSearch Object: 256 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: 256 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, initial guess is zero
> tolerances: relative=1e-05, absolute=1e-50, divergence=10000
> left preconditioning
> using DEFAULT norm type for convergence test
> PC Object: 256 MPI processes
> type: lu
> PC has not been set up so information may be incomplete
> LU: out-of-place factorization
> tolerance for zero pivot 2.22045e-14
> matrix ordering: natural
>
> Thank you.
>
> Best,
> Xiangdong
>
>
>
>
>
>
--
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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