update no change test output based on removal of Tao fatol and frtol

Begin renaming the PetscOptions objects for the future where PetscOptions will not be a singleton

updating no change example output for Tao examples whose convergence conclusion was changed due to removing fatol and frtol tolerances

Merge branch 'barry/not-single-precision' into barry/remove-unneed-tao-tolerances

remove fatol and frtol concept from Tao; they are redundant and confusing compared to other tolerances

move a couple more examples that do not produce constant results in single precision

fixes to not build single for some tests

Merge branch 'barry/add-mpiu_allreduce'

insure similar convergence history for single, double, quad

restrict tao test example to double since very sensitive to precision of computation

because gnorm0 can be PETSC_INFINITY one can get false gnorm/gnorm0 <= gttol even when gttol is 0.0 and gnorm is not zero
and thus get a false positive convergence

ftp://ftp.mcs.anl.gov/pub/petsc/ni

because gnorm0 can be PETSC_INFINITY one can get false gnorm/gnorm0 <= gttol even when gttol is 0.0 and gnorm is not zero
and thus get a false positive convergence

ftp://ftp.mcs.anl.gov/pub/petsc/nightlylogs/archive/2015/10/23/examples_master_arch-linux-gcc-pgf90_grind.log

1,84c11,64
< iter = 10, Function value 2416.67, Residual: 178.849
< iter = 11, Function value 2416.67, Residual: 3.77357
< iter = 12, Function value 2415.51, Residual: 10.0153
< iter = 13, Function value 2411.15, Residual: 391.763
< iter = 14, Function value 2411.15, Residual: 311.476
< iter = 15, Function value 2411.15, Residual: 24.0925
< iter = 16, Function value 2410.86, Residual: 141.568
< iter = 17, Function value 2410.86, Residual: 9.82914
< iter = 18, Function value 2409.03, Residual: 19.0147
< iter = 19, Function value 2405.37, Residual: 187.39
< iter = 20, Function value 2405.37, Residual: 36.1224
< iter = 21, Function value 2403.96, Residual: 461.641
< iter = 22, Function value 2403.96, Residual: 88.53
< iter = 23, Function value 2401.43, Residual: 125.36
< iter = 24, Function value 2400.63, Residual: 71.9882
< iter = 25, Function value 2396.47, Residual: 153.581
< iter = 26, Function value 2388.32, Residual: 693.398
< iter = 27, Function value 2384.75, Residual: 149.291
< iter = 28, Function value 2384.75, Residual: 156.177
< iter = 29, Function value 2384.74, Residual: 21.6924
< iter = 30, Function value 2384.74, Residual: 3.76519
< iter = 31, Function value 2384.5, Residual: 0.0942887
< iter = 32, Function value 2384.48, Residual: 0.762227
< iter = 33, Function value 2384.48, Residual: 0.287334
< iter = 34, Function value 2384.48, Residual: 0.221261
< iter = 35, Function value 2384.48, Residual: 0.0183731
< iter = 36, Function value 2384.48, Residual: 0.0155648
< iter = 37, Function value 2384.48, Residual: 0.0473363
< iter = 38, Function value 2384.48, Residual: 0.00108368
< iter = 39, Function value 2384.48, Residual: 0.00487713
< iter = 40, Function value 2384.48, Residual: 0.000172856
< iter = 41, Function value 2384.48, Residual: 5.48164e-06
< 4575.7085175608709 4.4942328371557893E+307
< 4575.7085175608709 1815.2985516599065
< 4575.7085175608709 4838.2083666605959
< 4575.7085175608709 1404.4509372826872
< 3627.3927583129494 11279.715346421122
< 2584.9214240354881 16120.497699152949
< 2584.9214240354881 1143.9964691546586
< 2524.6912329226511 257.61363944306333
< 2500.2432503157597 1072.2480219597619
< 2418.1438534115305 16.920666223362254
< 2416.6681259821662 178.84868221303151
< 2416.6681259821662 3.7735723004899953
< 2415.5103186576657 10.015315131908833
< 2411.1478828901513 391.76278493043350
< 2411.1478828901513 311.47645419742167
< 2411.1478828901513 24.092477935507905
< 2410.8560348505721 141.56770482743312
< 2410.8560348505721 9.8291448260766465
< 2409.0324456803005 19.014689846065945
< 2405.3739964265242 187.39038474373950
< 2405.3739964265242 36.122443687575149
< 2403.9568709863192 461.64120477249253
< 2403.9568709863192 88.529967780196770
< 2401.4334252131084 125.35992515000555
< 2400.6257885667246 71.988183117061809
< 2396.4652276331276 153.58121719436181
< 2388.3184558101684 693.39843432256225
< 2384.7468187163477 149.29114901422918
< 2384.7463243759134 156.17731464402209
< 2384.7444039122361 21.692395955680837
< 2384.7444039122361 3.7651902219828197
< 2384.5019577079884 9.4288701695413590E-002
< 2384.4811654195523 0.76222743780397162
< 2384.4775172870586 0.28733366291505030
< 2384.4774835782791 0.22126089137917193
< 2384.4774835782791 1.8373137553614825E-002
< 2384.4770104266977 1.5564772320028585E-002
< 2384.4770104266977 4.7336288381090962E-002
< 2384.4770104266977 1.0836785323014985E-003
< 2384.4769959665418 4.8771273138846754E-003
< 2384.4769959665418 1.7285550186436704E-004
< 2384.4769950856239 5.4816440789146458E-006
---
> iter = 10, Function value 2416.67, Residual: 178.848
> iter = 11, Function value 2416.67, Residual: 3.77354
> iter = 12, Function value 2415.51, Residual: 10.0152
> iter = 13, Function value 2411.15, Residual: 391.762
> iter = 14, Function value 2411.15, Residual: 311.485
> iter = 15, Function value 2411.15, Residual: 24.0923
> iter = 16, Function value 2410.86, Residual: 141.566
> iter = 17, Function value 2410.86, Residual: 9.82925
> iter = 18, Function value 2409.03, Residual: 19.0148
> iter = 19, Function value 2405.37, Residual: 187.386
> iter = 20, Function value 2405.37, Residual: 36.1251
> iter = 21, Function value 2403.96, Residual: 461.668
> iter = 22, Function value 2403.96, Residual: 88.5331
> iter = 23, Function value 2401.43, Residual: 125.336
> iter = 24, Function value 2400.63, Residual: 71.9888
> iter = 25, Function value 2396.47, Residual: 153.517
> iter = 26, Function value 2388.32, Residual: 693.48
> iter = 27, Function value 2384.75, Residual: 149.213
> iter = 28, Function value 2384.75, Residual: 155.989
> iter = 29, Function value 2384.74, Residual: 21.693
> iter = 30, Function value 2384.74, Residual: 3.76568
> iter = 31, Function value 2384.5, Residual: 0.0944167
> 4575.709237872599 4.4942328371557893E+307
> 4575.709237872599 1815.299097035091
> 4575.709237872599 4838.211023807340
> 4575.709237872599 1404.451476651041
> 3627.393451094771 11279.72339237862
> 2584.921547425445 16120.47402759046
> 2584.921547425445 1143.996822397298
> 2524.691880989573 257.6142334482682
> 2500.243663647243 1072.250646127577
> 2418.143843854654 16.92068765006729
> 2416.668115647490 178.8482347419252
> 2416.668115647490 3.773542861935354
> 2415.510308753632 10.01522134695003
> 2411.147874535623 391.7622989687072
> 2411.147874535623 311.4852217790456
> 2411.147874535623 24.09225353032197
> 2410.856001083221 141.5657075065890
> 2410.856001083221 9.829250038838696
> 2409.032437701279 19.01475432423581
> 2405.373981543032 187.3859379562852
> 2405.373981543032 36.12514004734248
> 2403.956903740529 461.6682968186628
> 2403.956903740529 88.53313263679679
> 2401.433405170609 125.3358752678410
> 2400.625643950743 71.98880933148733
> 2396.465077162101 153.5169470075242
> 2388.318463061776 693.4800677788330
> 2384.746784861173 149.2130864980433
> 2384.746318005369 155.9885985568999
> 2384.744454905304 21.69300201158603
> 2384.744454905304 3.765677006955844
> 2384.501947107490 9.4416733419311727E-002
88c68
< final delta: 0.0015625
---
> final delta: 0.025
91c71
< total subproblem iterations: 91
---
> total subproblem iterations: 65
94,98c74,78
< Residual in Function/Gradient:=5.48164e-06
< Objective value=2384.48
< total number of iterations=41, (max: 100)
< total number of function evaluations=44, max: 4000
< Solution converged: ||g(X)||/|f(X)| <= grtol
---
> Residual in Function/Gradient:=0.0944167
> Objective value=2384.5
> total number of iterations=31, (max: 100)
> total number of function evaluations=34, max: 4000
> Solution converged: ||g(X)||/||g(X0)|| <= gttol
/sandbox/petsc/petsc.clone-2/src/tao/leastsquares/examples/tutorials
Possible problem with chwirut1f_1 stdout, diffs above

show more ...

Introduce MPIU_Allreduce() to detect cases where all processes that share an MPI comm do not call the same sequence of MPI_Allreduce()
This is a bug that can be difficult to track down.

Suggested-by

Introduce MPIU_Allreduce() to detect cases where all processes that share an MPI comm do not call the same sequence of MPI_Allreduce()
This is a bug that can be difficult to track down.

Suggested-by: Eric Chamberland <Eric.Chamberland@giref.ulaval.ca>
Suggested-by: Patrick Lacasse <placasse@giref.ulaval.ca>

show more ...

tao->reason is an enum, not a PetscInt therefore should use a %d for printing not a %D

fix violations of PETSc style guide: Usage of SETERRQ and NULL

Merge branch 'maint'

Merge branch 'master' into barry/always-mark-floats

Needed to merge in master to resolve conflicts that will appear when this branch is merged with master

doc: list all include files in makefiles for 'manualpages:' target
This fixes the missing manpage for PCType

Reported-By: Vincent Huber <vincent.huber@cemosis.fr>

changed outdate mpirun and -np to mpiexec and -n

fortran example with test output must sort output before comparing

fixes for Fortran examples to compile cleanly in single precision that do not involve complex numbers

Insure all %g output floating point numbers have a decimal point in them
this is to make it easy to detect floating point processing in output for test purposes
provided new diff operation that

Insure all %g output floating point numbers have a decimal point in them
this is to make it easy to detect floating point processing in output for test purposes
provided new diff operation that treats all floating point numbers in output as equal

show more ...

TAO View was updated but test output was not

put in missing VecRestoreArray(), replace VecGet/RestoreArray() with read version in ex3opt_fd.c example
change Tao default routine to compute gradient to use centered differencing.

%d that was never fixed to %D in TAO example

Merge branch 'knepley/feature-drand48-portable' into mark/eigen-rand