[petsc-users] Problems imposing boundary conditions

Fri Mar 3 15:14:07 CST 2017

On Fri, Mar 3, 2017 at 12:56 PM, Sander Arens <Sander.Arens at ugent.be> wrote:

> Max,
>
> I'm assuming you use DMPlex for your mesh? If so, did you only specify the
> faces in the DMLabel (and not vertices or edges). Do you get this error
> only in parallel?
>
> If so, I can confirm this bug. I submitted a pull request for this
> yesterday.
>

Yep, I saw Sander's pull request. I will get in merged in tomorrow when I
get home to Houston.

  Thanks,

     Matt

> On 3 March 2017 at 18:43, Lukas van de Wiel <lukas.drinkt.thee at gmail.com>
> wrote:
>
>> You have apparently preallocated the non-zeroes of you matrix, and the
>> room was insufficient to accommodate all your equations.
>>
>> What happened after you tried:
>>
>> MatSetOption(A, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE)
>>
>>
>> Cheers
>> Lukas
>>
>> On Fri, Mar 3, 2017 at 6:37 PM, Maximilian Hartig <
>> imilian.hartig at gmail.com> wrote:
>>
>>> Hello,
>>>
>>> I am working on a transient structural FEM code with PETSc. I managed to
>>> create a slow but functioning program with the use of petscFE and a TS
>>> solver. The code runs fine until I try to restrict movement in all three
>>> spatial directions for one face. I then get the error which is attached
>>> below.
>>> So apparently DMPlexMatSetClosure tries to write/read beyond what was
>>> priorly allocated. I do however not call MatSeqAIJSetPreallocation myself
>>> in the code. So I’m unsure where to start looking for the bug. In my
>>> understanding, PETSc should know from the DM how much space to allocate.
>>> Could you kindly give me a hint?
>>>
>>> Thanks,
>>>
>>> Max
>>>
>>> 0 SNES Function norm 2.508668036663e-06
>>> [0]PETSC ERROR: --------------------- Error Message
>>> --------------------------------------------------------------
>>> [0]PETSC ERROR: Argument out of range
>>> [0]PETSC ERROR: New nonzero at (41754,5) caused a malloc
>>> Use MatSetOption(A, MAT_NEW_NONZERO_ALLOCATION_ERR, PETSC_FALSE) to
>>> turn off this check
>>> [0]PETSC ERROR: See http://www.mcs.anl.gov/petsc/documentation/faq.html
>>> for trouble shooting.
>>> [0]PETSC ERROR: Petsc Development GIT revision: v3.7.5-3223-g99077fc
>>> GIT Date: 2017-02-28 13:41:43 -0600
>>> [0]PETSC ERROR: ./S3 on a arch-linux-gnu-intel named XXXXXXX by hartig
>>> Fri Mar  3 17:55:57 2017
>>> [0]PETSC ERROR: Configure options PETSC_ARCH=arch-linux-gnu-intel
>>> --with-cc=/opt/intel/compilers_and_libraries/linux/mpi/intel64/bin/mpiicc
>>> --with-cxx=/opt/intel/compilers_and_libraries/linux/mpi/intel64/bin/mpiicpc
>>> --with-fc=/opt/intel/compilers_and_libraries/linux/mpi/intel64/bin/mpiifort
>>> --download-ml
>>> [0]PETSC ERROR: #1 MatSetValues_SeqAIJ() line 455 in
>>> /home/hartig/petsc/src/mat/impls/aij/seq/aij.c
>>> [0]PETSC ERROR: #2 MatSetValues() line 1270 in
>>> /home/hartig/petsc/src/mat/interface/matrix.c
>>> [0]PETSC ERROR: [0]ERROR in DMPlexMatSetClosure
>>> [0]mat for sieve point 60
>>> [0]mat row indices[0] = 41754
>>> [0]mat row indices[1] = 41755
>>> [0]mat row indices[2] = 41756
>>> [0]mat row indices[3] = 41760
>>> [0]mat row indices[4] = 41761
>>> [0]mat row indices[5] = 41762
>>> [0]mat row indices[6] = 41766
>>> [0]mat row indices[7] = -41768
>>> [0]mat row indices[8] = 41767
>>> [0]mat row indices[9] = 41771
>>> [0]mat row indices[10] = -41773
>>> [0]mat row indices[11] = 41772
>>> [0]mat row indices[12] = 41776
>>> [0]mat row indices[13] = 41777
>>> [0]mat row indices[14] = 41778
>>> [0]mat row indices[15] = 41782
>>> [0]mat row indices[16] = -41784
>>> [0]mat row indices[17] = 41783
>>> [0]mat row indices[18] = 261
>>> [0]mat row indices[19] = -263
>>> [0]mat row indices[20] = 262
>>> [0]mat row indices[21] = 24318
>>> [0]mat row indices[22] = 24319
>>> [0]mat row indices[23] = 24320
>>> [0]mat row indices[24] = -7
>>> [0]mat row indices[25] = -8
>>> [0]mat row indices[26] = 6
>>> [0]mat row indices[27] = 1630
>>> [0]mat row indices[28] = -1632
>>> [0]mat row indices[29] = 1631
>>> [0]mat row indices[30] = 41757
>>> [0]mat row indices[31] = 41758
>>> [0]mat row indices[32] = 41759
>>> [0]mat row indices[33] = 41763
>>> [0]mat row indices[34] = 41764
>>> [0]mat row indices[35] = 41765
>>> [0]mat row indices[36] = 41768
>>> [0]mat row indices[37] = 41769
>>> [0]mat row indices[38] = 41770
>>> [0]mat row indices[39] = 41773
>>> [0]mat row indices[40] = 41774
>>> [0]mat row indices[41] = 41775
>>> [0]mat row indices[42] = 41779
>>> [0]mat row indices[43] = 41780
>>> [0]mat row indices[44] = 41781
>>> [0]mat row indices[45] = 41784
>>> [0]mat row indices[46] = 41785
>>> [0]mat row indices[47] = 41786
>>> [0]mat row indices[48] = 263
>>> [0]mat row indices[49] = 264
>>> [0]mat row indices[50] = 265
>>> [0]mat row indices[51] = 24321
>>> [0]mat row indices[52] = 24322
>>> [0]mat row indices[53] = 24323
>>> [0]mat row indices[54] = 5
>>> [0]mat row indices[55] = 6
>>> [0]mat row indices[56] = 7
>>> [0]mat row indices[57] = 1632
>>> [0]mat row indices[58] = 1633
>>> [0]mat row indices[59] = 1634
>>> [0] 1.29801 0.0998428 -0.275225 1.18171 -0.0093323 0.055045 1.18146
>>> 0.00525527 -0.11009 -0.588378 0.264666 -0.0275225 -2.39586 -0.210511
>>> 0.22018 -0.621071 0.0500786 0.137613 -0.180869 -0.0974804 0.0344031
>>> -0.0302673 -0.09 0. -0.145175 -0.00383346 -0.00688063 0.300442 -0.00868618
>>> -0.0275225 8.34577e-11 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0.
>>> 4.17288e-11 0. 0. 4.17288e-11 0. 0. 2.08644e-11 0. 0. -1.04322e-11 0. 0.
>>> -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0.
>>> [0] 0.0998428 0.590663 -0.0320009 0.0270594 0.360043 0.0297282
>>> -0.0965489 0.270936 -0.0652389 0.32647 -0.171351 -0.00845384 -0.206902
>>> -0.657189 0.0279137 0.0500786 -0.197561 -0.0160508 -0.12748 -0.138996
>>> 0.0408591 -0.06 -0.105935 0.0192308 0.00161757 -0.0361182 0.0042968
>>> -0.0141372 0.0855084 -0.000284088 0. 8.34577e-11 0. 0. 4.17288e-11 0. 0.
>>> 4.17288e-11 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0. 2.08644e-11 0. 0.
>>> -1.04322e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0.
>>> [0] -0.275225 -0.0320009 0.527521 -0.055045 0.0285918 0.234796 -0.165135
>>> -0.0658071 0.322754 0.0275225 -0.0207062 -0.114921 0.33027 0.0418706
>>> -0.678455 0.137613 -0.0160508 -0.235826 0.0344031 0.0312437 -0.0845583 0.
>>> 0.0288462 -0.0302673 0.00688063 0.00443884 -0.0268103 -0.0412838
>>> -0.000426133 0.0857668 0. 0. 8.34577e-11 0. 0. 4.17288e-11 0. 0.
>>> 4.17288e-11 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0. 2.08644e-11 0. 0.
>>> -1.04322e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11
>>> [0] 1.18171 0.0270594 -0.055045 1.29651 -0.0821157 0.275225 1.1468
>>> -0.0675282 0.11009 -0.637271 0.141058 -0.137613 -2.37741 -0.0649437
>>> -0.22018 -0.588378 0.24647 0.0275225 -0.140937 -0.00838243 0.00688063
>>> -0.0175533 -0.09 0. -0.16373 -0.0747355 -0.0344031 0.300255 -0.026882
>>> 0.0275225 4.17288e-11 0. 0. 8.34577e-11 0. 0. 4.17288e-11 0. 0. 2.08644e-11
>>> 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11
>>> 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0.
>>> [0] -0.0093323 0.360043 0.0285918 -0.0821157 0.585404 -0.0263191
>>> -0.205724 0.149643 0.0652389 0.141058 -0.254263 0.0452109 0.011448
>>> -0.592598 -0.0279137 0.344666 -0.171351 -0.0207062 0.00616654 -0.0212853
>>> -0.0115868 -0.06 -0.0614365 -0.0192308 -0.104736 -0.0790071 -0.0335691
>>> -0.041431 0.084851 0.000284088 0. 4.17288e-11 0. 0. 8.34577e-11 0. 0.
>>> 4.17288e-11 0. 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0.
>>> [0] 0.055045 0.0297282 0.234796 0.275225 -0.0263191 0.526019 0.165135
>>> 0.0658071 0.288099 -0.137613 0.0452109 -0.252027 -0.33027 -0.0418706
>>> -0.660001 -0.0275225 -0.00845384 -0.114921 -0.00688063 -0.0117288
>>> -0.0225723 0. -0.0288462 -0.0175533 -0.0344031 -0.0239537 -0.0674185
>>> 0.0412838 0.000426133 0.085579 0. 0. 4.17288e-11 0. 0. 8.34577e-11 0. 0.
>>> 4.17288e-11 0. 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11
>>> [0] 1.18146 -0.0965489 -0.165135 1.1468 -0.205724 0.165135 3.70665
>>> 0.626591 3.1198e-14 -2.37741 0.0332522 -0.275225 -2.44501 -0.417727
>>> 4.66207e-17 -2.39586 -0.148706 0.275225 0.283843 0.0476669 0.0137613
>>> 0.00972927 0.06 0. 0.288268 0.0567649 -0.0137613 0.601523 0.0444318
>>> -1.2387e-17 4.17288e-11 0. 0. 4.17288e-11 0. 0. 8.34577e-11 0. 0.
>>> 4.17288e-11 0. 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0. -1.04322e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0.
>>> [0] 0.00525527 0.270936 -0.0658071 -0.0675282 0.149643 0.0658071
>>> 0.626591 1.29259 -0.02916 -0.0867478 -0.592598 -0.0413024 -0.417727
>>> -0.829208 6.46318e-18 -0.268706 -0.657189 0.0413024 0.03402 0.0715157
>>> 0.0179272 0.04 0.0340524 1.77708e-18 0.0704117 0.0870061 0.0112328
>>> 0.0644318 0.17325 -1.41666e-19 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0.
>>> 8.34577e-11 0. 0. 4.17288e-11 0. 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0.
>>> -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0.
>>> [0] -0.11009 -0.0652389 0.322754 0.11009 0.0652389 0.288099 3.12405e-14
>>> -0.02916 1.21876 -0.275225 -0.0284819 -0.660001 9.50032e-17 9.55728e-18
>>> -0.727604 0.275225 0.0284819 -0.678455 0.055045 0.0279687 0.0250605 0.
>>> 1.71863e-18 0.00972927 -0.055045 0.00119132 0.0294863 -1.47451e-17
>>> -1.90582e-19 0.172172 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0. 8.34577e-11
>>> 0. 0. 4.17288e-11 0. 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0. -1.04322e-11 0.
>>> 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11
>>> [0] -0.588378 0.32647 0.0275225 -0.637271 0.141058 -0.137613 -2.37741
>>> -0.0867478 -0.275225 3.68138 0.0265907 3.13395e-14 1.1468 -0.107528 0.11009
>>> 1.18171 0.00886356 -3.13222e-14 -1.06248 -0.175069 0.158254 0.00657075
>>> -0.03 0. 0.152747 -0.00526446 0.0344031 -1.50368 -0.0983732 0.0825675
>>> 4.17288e-11 0. 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0. 8.34577e-11 0. 0.
>>> 4.17288e-11 0. 0. 4.17288e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.04322e-11 0. 0.
>>> [0] 0.264666 -0.171351 -0.0207062 0.141058 -0.254263 0.0452109 0.0332522
>>> -0.592598 -0.0284819 0.0265907 1.20415 -0.0932626 -0.165724 0.149643
>>> 0.0524184 0.00886356 0.360043 0.0419805 -0.131422 -0.326529 0.0132913 -0.02
>>> 0.0229976 -0.00641026 -0.0152645 0.0405681 -0.00489246 -0.14202 -0.432665
>>> 0.000852265 0. 4.17288e-11 0. 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0.
>>> 8.34577e-11 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0. -1.04322e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0.
>>> [0] -0.0275225 -0.00845384 -0.114921 -0.137613 0.0452109 -0.252027
>>> -0.275225 -0.0413024 -0.660001 3.13785e-14 -0.0932626 1.19349 0.165135
>>> 0.0786276 0.288099 -3.12866e-14 0.0163395 0.234796 0.116971 0.0128652
>>> -0.322147 0. -0.00961538 0.00657075 0.0344031 -0.00168733 0.0564359
>>> 0.123851 0.0012784 -0.430298 0. 0. 4.17288e-11 0. 0. 2.08644e-11 0. 0.
>>> 4.17288e-11 0. 0. 8.34577e-11 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0.
>>> -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11
>>> [0] -2.39586 -0.206902 0.33027 -2.37741 0.011448 -0.33027 -2.44501
>>> -0.417727 6.38053e-17 1.1468 -0.165724 0.165135 4.88671 0.435454 0. 1.18146
>>> -0.0565489 -0.165135 0.307839 0.0658628 -0.0412838 -0.00807774 0.18 0.
>>> 0.303413 0.038569 0.0412838 -0.599871 0.115568 0. 4.17288e-11 0. 0.
>>> 4.17288e-11 0. 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0. 8.34577e-11 0. 0.
>>> 4.17288e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0.
>>> -1.04322e-11 0. 0.
>>> [0] -0.210511 -0.657189 0.0418706 -0.0649437 -0.592598 -0.0418706
>>> -0.417727 -0.829208 6.30468e-18 -0.107528 0.149643 0.0786276 0.435454
>>> 1.64686 0. -0.0347447 0.270936 -0.0786276 0.0613138 0.111396 -0.0100415
>>> 0.12 -0.0282721 0. 0.043118 0.0959058 0.0100415 0.175568 -0.167469 0. 0.
>>> 4.17288e-11 0. 0. 4.17288e-11 0. 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0.
>>> 8.34577e-11 0. 0. 4.17288e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.04322e-11 0.
>>> [0] 0.22018 0.0279137 -0.678455 -0.22018 -0.0279137 -0.660001
>>> 4.70408e-17 7.53383e-18 -0.727604 0.11009 0.0524184 0.288099 0. 0. 1.4519
>>> -0.11009 -0.0524184 0.322754 -0.0275225 -0.00669434 0.0931634 0. 0.
>>> -0.00807774 0.0275225 0.00669434 0.0887375 0. 0. -0.17052 0. 0. 4.17288e-11
>>> 0. 0. 4.17288e-11 0. 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0. 8.34577e-11 0.
>>> 0. 4.17288e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0.
>>> 0. -1.04322e-11
>>> [0] -0.621071 0.0500786 0.137613 -0.588378 0.344666 -0.0275225 -2.39586
>>> -0.268706 0.275225 1.18171 0.00886356 -3.12954e-14 1.18146 -0.0347447
>>> -0.11009 3.64748 0.0265907 3.12693e-14 0.152935 0.0174804 -0.0344031
>>> 0.00233276 -0.03 0. -1.0575 -0.0704425 -0.158254 -1.50311 -0.0437857
>>> -0.0825675 2.08644e-11 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0.
>>> 4.17288e-11 0. 0. 4.17288e-11 0. 0. 8.34577e-11 0. 0. -1.56483e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.04322e-11 0. 0.
>>> [0] 0.0500786 -0.197561 -0.0160508 0.24647 -0.171351 -0.00845384
>>> -0.148706 -0.657189 0.0284819 0.00886356 0.360043 0.0163395 -0.0565489
>>> 0.270936 -0.0524184 0.0265907 1.08549 0.0349425 0.00748035 0.0412255
>>> -0.00239755 -0.02 0.00816465 0.00641026 -0.0540894 -0.309066 -0.00600133
>>> -0.0601388 -0.430693 -0.000852265 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0.
>>> 4.17288e-11 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0. 8.34577e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.04322e-11 0.
>>> [0] 0.137613 -0.0160508 -0.235826 0.0275225 -0.0207062 -0.114921
>>> 0.275225 0.0413024 -0.678455 -3.13299e-14 0.0419805 0.234796 -0.165135
>>> -0.0786276 0.322754 3.12753e-14 0.0349425 1.15959 -0.0344031 -0.00560268
>>> 0.0566238 0. 0.00961538 0.00233276 -0.116971 -0.00557519 -0.317157
>>> -0.123851 -0.0012784 -0.429734 0. 0. 2.08644e-11 0. 0. 4.17288e-11 0. 0.
>>> 4.17288e-11 0. 0. 4.17288e-11 0. 0. 4.17288e-11 0. 0. 8.34577e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.04322e-11
>>> [0] -0.180869 -0.12748 0.0344031 -0.140937 0.00616654 -0.00688063
>>> 0.283843 0.03402 0.055045 -1.06248 -0.131422 0.116971 0.307839 0.0613138
>>> -0.0275225 0.152935 0.00748035 -0.0344031 0.479756 0.112441 -0.103209
>>> 0.00698363 0.03 0. -0.14792 -0.0238335 -0.00688063 0.300855 0.0313138
>>> -0.0275225 -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0.
>>> -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0. 1.56483e-11 0. 0.
>>> 2.60805e-12 0. 0. 2.60805e-12 0. 0. 2.60805e-12 0. 0.
>>> [0] -0.0974804 -0.138996 0.0312437 -0.00838243 -0.0212853 -0.0117288
>>> 0.0476669 0.0715157 0.0279687 -0.175069 -0.326529 0.0128652 0.0658628
>>> 0.111396 -0.00669434 0.0174804 0.0412255 -0.00560268 0.112441 0.197005
>>> -0.0360388 0.02 0.0244427 -0.00641026 -0.0283824 -0.045728 -0.00531859
>>> 0.0458628 0.0869535 -0.000284088 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0.
>>> -1.04322e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0.
>>> 1.56483e-11 0. 0. 2.60805e-12 0. 0. 2.60805e-12 0. 0. 2.60805e-12 0.
>>> [0] 0.0344031 0.0408591 -0.0845583 0.00688063 -0.0115868 -0.0225723
>>> 0.0137613 0.0179272 0.0250605 0.158254 0.0132913 -0.322147 -0.0412838
>>> -0.0100415 0.0931634 -0.0344031 -0.00239755 0.0566238 -0.103209 -0.0360388
>>> 0.190822 0. -0.00961538 0.00698363 0.00688063 -0.00197142 -0.029556
>>> -0.0412838 -0.000426133 0.0861797 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0.
>>> 0. -1.04322e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0.
>>> 0. 1.56483e-11 0. 0. 2.60805e-12 0. 0. 2.60805e-12 0. 0. 2.60805e-12
>>> [0] -0.0302673 -0.06 0. -0.0175533 -0.06 0. 0.00972927 0.04 0.
>>> 0.00657075 -0.02 0. -0.00807774 0.12 0. 0.00233276 -0.02 0. 0.00698363 0.02
>>> 0. 0.0279492 0. 0. 0.00274564 0.02 0. -0.000412882 -0.04 0. -1.04322e-11 0.
>>> 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0.
>>> 0. -1.56483e-11 0. 0. 2.60805e-12 0. 0. 1.56483e-11 0. 0. 2.60805e-12 0. 0.
>>> 2.60805e-12 0. 0.
>>> [0] -0.09 -0.105935 0.0288462 -0.09 -0.0614365 -0.0288462 0.06 0.0340524
>>> 3.0201e-18 -0.03 0.0229976 -0.00961538 0.18 -0.0282721 0. -0.03 0.00816465
>>> 0.00961538 0.03 0.0244427 -0.00961538 0. 0.097822 0. 0.03 0.00960973
>>> 0.00961538 -0.06 -0.00144509 0. 0. -1.04322e-11 0. 0. -1.04322e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0.
>>> 2.60805e-12 0. 0. 1.56483e-11 0. 0. 2.60805e-12 0. 0. 2.60805e-12 0.
>>> [0] 0. 0.0192308 -0.0302673 0. -0.0192308 -0.0175533 0. 1.8315e-18
>>> 0.00972927 0. -0.00641026 0.00657075 0. 0. -0.00807774 0. 0.00641026
>>> 0.00233276 0. -0.00641026 0.00698363 0. 0. 0.0279492 0. 0.00641026
>>> 0.00274564 0. 0. -0.000412882 0. 0. -1.04322e-11 0. 0. -1.04322e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.56483e-11 0. 0.
>>> 2.60805e-12 0. 0. 1.56483e-11 0. 0. 2.60805e-12 0. 0. 2.60805e-12
>>> [0] -0.145175 0.00161757 0.00688063 -0.16373 -0.104736 -0.0344031
>>> 0.288268 0.0704117 -0.055045 0.152747 -0.0152645 0.0344031 0.303413
>>> 0.043118 0.0275225 -1.0575 -0.0540894 -0.116971 -0.14792 -0.0283824
>>> 0.00688063 0.00274564 0.03 0. 0.466478 0.0442066 0.103209 0.300667 0.013118
>>> 0.0275225 -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.04322e-11 0. 0.
>>> -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0. 2.60805e-12 0. 0.
>>> 2.60805e-12 0. 0. 1.56483e-11 0. 0. 2.60805e-12 0. 0.
>>> [0] -0.00383346 -0.0361182 0.00443884 -0.0747355 -0.0790071 -0.0239537
>>> 0.0567649 0.0870061 0.00119132 -0.00526446 0.0405681 -0.00168733 0.038569
>>> 0.0959058 0.00669434 -0.0704425 -0.309066 -0.00557519 -0.0238335 -0.045728
>>> -0.00197142 0.02 0.00960973 0.00641026 0.0442066 0.150534 0.0141688
>>> 0.018569 0.0862961 0.000284088 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0.
>>> -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0.
>>> 2.60805e-12 0. 0. 2.60805e-12 0. 0. 1.56483e-11 0. 0. 2.60805e-12 0.
>>> [0] -0.00688063 0.0042968 -0.0268103 -0.0344031 -0.0335691 -0.0674185
>>> -0.0137613 0.0112328 0.0294863 0.0344031 -0.00489246 0.0564359 0.0412838
>>> 0.0100415 0.0887375 -0.158254 -0.00600133 -0.317157 -0.00688063 -0.00531859
>>> -0.029556 0. 0.00961538 0.00274564 0.103209 0.0141688 0.177545 0.0412838
>>> 0.000426133 0.0859919 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0.
>>> -1.04322e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0.
>>> 2.60805e-12 0. 0. 2.60805e-12 0. 0. 1.56483e-11 0. 0. 2.60805e-12
>>> [0] 0.300442 -0.0141372 -0.0412838 0.300255 -0.041431 0.0412838 0.601523
>>> 0.0644318 -1.72388e-17 -1.50368 -0.14202 0.123851 -0.599871 0.175568 0.
>>> -1.50311 -0.0601388 -0.123851 0.300855 0.0458628 -0.0412838 -0.000412882
>>> -0.06 0. 0.300667 0.018569 0.0412838 1.80333 0.0132953 0. -1.56483e-11 0.
>>> 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11 0. 0. -1.04322e-11 0.
>>> 0. -1.04322e-11 0. 0. 2.60805e-12 0. 0. 2.60805e-12 0. 0. 2.60805e-12 0. 0.
>>> 1.56483e-11 0. 0.
>>> [0] -0.00868618 0.0855084 -0.000426133 -0.026882 0.084851 0.000426133
>>> 0.0444318 0.17325 -1.17738e-19 -0.0983732 -0.432665 0.0012784 0.115568
>>> -0.167469 0. -0.0437857 -0.430693 -0.0012784 0.0313138 0.0869535
>>> -0.000426133 -0.04 -0.00144509 0. 0.013118 0.0862961 0.000426133 0.0132953
>>> 0.515413 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0.
>>> -1.04322e-11 0. 0. -1.04322e-11 0. 0. -1.04322e-11 0. 0. 2.60805e-12 0. 0.
>>> 2.60805e-12 0. 0. 2.60805e-12 0. 0. 1.56483e-11 0.
>>> [0] -0.0275225 -0.000284088 0.0857668 0.0275225 0.000284088 0.085579
>>> -1.41488e-17 -8.91502e-20 0.172172 0.0825675 0.000852265 -0.430298 0. 0.
>>> -0.17052 -0.0825675 -0.000852265 -0.429734 -0.0275225 -0.000284088
>>> 0.0861797 0. 0. -0.000412882 0.0275225 0.000284088 0.0859919 0. 0. 0.515276
>>> 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.56483e-11 0. 0. -1.04322e-11
>>> 0. 0. -1.04322e-11 0. 0. -1.04322e-11 0. 0. 2.60805e-12 0. 0. 2.60805e-12
>>> 0. 0. 2.60805e-12 0. 0. 1.56483e-11
>>> [0] -1.06316e-05 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0.
>>> -5.31578e-06 0. 0. -5.31578e-06 0. 0. -2.65789e-06 0. 0. 1.32894e-06 0. 0.
>>> 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.99342e-06 0. 0. 5.31578e-09 0. 0.
>>> 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0.
>>> 1.32894e-09 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0.
>>> -9.96708e-10 0. 0.
>>> [0] 0. -1.06316e-05 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0.
>>> -5.31578e-06 0. 0. -5.31578e-06 0. 0. -2.65789e-06 0. 0. 1.32894e-06 0. 0.
>>> 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.99342e-06 0. 0. 5.31578e-09 0. 0.
>>> 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0.
>>> 1.32894e-09 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0.
>>> -9.96708e-10 0.
>>> [0] 0. 0. -1.06316e-05 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0.
>>> -5.31578e-06 0. 0. -5.31578e-06 0. 0. -2.65789e-06 0. 0. 1.32894e-06 0. 0.
>>> 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.99342e-06 0. 0. 5.31578e-09 0. 0.
>>> 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0.
>>> 1.32894e-09 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0.
>>> -9.96708e-10
>>> [0] -5.31578e-06 0. 0. -1.06316e-05 0. 0. -5.31578e-06 0. 0.
>>> -2.65789e-06 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0. 1.99342e-06 0. 0.
>>> 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. 2.65789e-09 0. 0.
>>> 5.31578e-09 0. 0. 2.65789e-09 0. 0. 1.32894e-09 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0.
>>> -9.96708e-10 0. 0.
>>> [0] 0. -5.31578e-06 0. 0. -1.06316e-05 0. 0. -5.31578e-06 0. 0.
>>> -2.65789e-06 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0. 1.99342e-06 0. 0.
>>> 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. 2.65789e-09 0. 0.
>>> 5.31578e-09 0. 0. 2.65789e-09 0. 0. 1.32894e-09 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0.
>>> -9.96708e-10 0.
>>> [0] 0. 0. -5.31578e-06 0. 0. -1.06316e-05 0. 0. -5.31578e-06 0. 0.
>>> -2.65789e-06 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0. 1.99342e-06 0. 0.
>>> 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. 2.65789e-09 0. 0.
>>> 5.31578e-09 0. 0. 2.65789e-09 0. 0. 1.32894e-09 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0.
>>> -9.96708e-10
>>> [0] -5.31578e-06 0. 0. -5.31578e-06 0. 0. -1.06316e-05 0. 0.
>>> -5.31578e-06 0. 0. -2.65789e-06 0. 0. -5.31578e-06 0. 0. 1.32894e-06 0. 0.
>>> 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. 5.31578e-09 0. 0. 2.65789e-09 0. 0. 1.32894e-09 0. 0.
>>> 2.65789e-09 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0.
>>> -9.96708e-10 0. 0.
>>> [0] 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0. -1.06316e-05 0. 0.
>>> -5.31578e-06 0. 0. -2.65789e-06 0. 0. -5.31578e-06 0. 0. 1.32894e-06 0. 0.
>>> 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. 5.31578e-09 0. 0. 2.65789e-09 0. 0. 1.32894e-09 0. 0.
>>> 2.65789e-09 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0.
>>> -9.96708e-10 0.
>>> [0] 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0. -1.06316e-05 0. 0.
>>> -5.31578e-06 0. 0. -2.65789e-06 0. 0. -5.31578e-06 0. 0. 1.32894e-06 0. 0.
>>> 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. 5.31578e-09 0. 0. 2.65789e-09 0. 0. 1.32894e-09 0. 0.
>>> 2.65789e-09 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0.
>>> -9.96708e-10
>>> [0] -5.31578e-06 0. 0. -2.65789e-06 0. 0. -5.31578e-06 0. 0.
>>> -1.06316e-05 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0. 1.32894e-06 0. 0.
>>> 1.99342e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. 2.65789e-09 0. 0.
>>> 1.32894e-09 0. 0. 2.65789e-09 0. 0. 5.31578e-09 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0.
>>> -6.64472e-10 0. 0.
>>> [0] 0. -5.31578e-06 0. 0. -2.65789e-06 0. 0. -5.31578e-06 0. 0.
>>> -1.06316e-05 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0. 1.32894e-06 0. 0.
>>> 1.99342e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. 2.65789e-09 0. 0.
>>> 1.32894e-09 0. 0. 2.65789e-09 0. 0. 5.31578e-09 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0.
>>> -6.64472e-10 0.
>>> [0] 0. 0. -5.31578e-06 0. 0. -2.65789e-06 0. 0. -5.31578e-06 0. 0.
>>> -1.06316e-05 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0. 1.32894e-06 0. 0.
>>> 1.99342e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. 2.65789e-09 0. 0.
>>> 1.32894e-09 0. 0. 2.65789e-09 0. 0. 5.31578e-09 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0.
>>> -6.64472e-10
>>> [0] -5.31578e-06 0. 0. -5.31578e-06 0. 0. -2.65789e-06 0. 0.
>>> -5.31578e-06 0. 0. -1.06316e-05 0. 0. -5.31578e-06 0. 0. 1.99342e-06 0. 0.
>>> 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. 1.32894e-09 0. 0. 2.65789e-09 0. 0. 5.31578e-09 0. 0.
>>> 2.65789e-09 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0.
>>> -6.64472e-10 0. 0.
>>> [0] 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0. -2.65789e-06 0. 0.
>>> -5.31578e-06 0. 0. -1.06316e-05 0. 0. -5.31578e-06 0. 0. 1.99342e-06 0. 0.
>>> 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. 1.32894e-09 0. 0. 2.65789e-09 0. 0. 5.31578e-09 0. 0.
>>> 2.65789e-09 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0.
>>> -6.64472e-10 0.
>>> [0] 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0. -2.65789e-06 0. 0.
>>> -5.31578e-06 0. 0. -1.06316e-05 0. 0. -5.31578e-06 0. 0. 1.99342e-06 0. 0.
>>> 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. 2.65789e-09 0. 0.
>>> 2.65789e-09 0. 0. 1.32894e-09 0. 0. 2.65789e-09 0. 0. 5.31578e-09 0. 0.
>>> 2.65789e-09 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0.
>>> -6.64472e-10
>>> [0] -2.65789e-06 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0.
>>> -5.31578e-06 0. 0. -5.31578e-06 0. 0. -1.06316e-05 0. 0. 1.99342e-06 0. 0.
>>> 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-09 0. 0.
>>> 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0.
>>> 5.31578e-09 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0.
>>> -6.64472e-10 0. 0.
>>> [0] 0. -2.65789e-06 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0.
>>> -5.31578e-06 0. 0. -5.31578e-06 0. 0. -1.06316e-05 0. 0. 1.99342e-06 0. 0.
>>> 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-09 0. 0.
>>> 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0.
>>> 5.31578e-09 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0.
>>> -6.64472e-10 0.
>>> [0] 0. 0. -2.65789e-06 0. 0. -5.31578e-06 0. 0. -5.31578e-06 0. 0.
>>> -5.31578e-06 0. 0. -5.31578e-06 0. 0. -1.06316e-05 0. 0. 1.99342e-06 0. 0.
>>> 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-09 0. 0.
>>> 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0. 2.65789e-09 0. 0.
>>> 5.31578e-09 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0.
>>> -6.64472e-10
>>> [0] 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-06 0.
>>> 0. 1.99342e-06 0. 0. 1.99342e-06 0. 0. -1.99342e-06 0. 0. -3.32236e-07 0.
>>> 0. -3.32236e-07 0. 0. -3.32236e-07 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0.
>>> 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0.
>>> 0. 9.96708e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0.
>>> [0] 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-06
>>> 0. 0. 1.99342e-06 0. 0. 1.99342e-06 0. 0. -1.99342e-06 0. 0. -3.32236e-07
>>> 0. 0. -3.32236e-07 0. 0. -3.32236e-07 0. 0. -6.64472e-10 0. 0. -9.96708e-10
>>> 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0. -9.96708e-10
>>> 0. 0. 9.96708e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0.
>>> [0] 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0.
>>> 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.99342e-06 0. 0. -1.99342e-06 0. 0.
>>> -3.32236e-07 0. 0. -3.32236e-07 0. 0. -3.32236e-07 0. 0. -6.64472e-10 0. 0.
>>> -9.96708e-10 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0.
>>> -9.96708e-10 0. 0. 9.96708e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0.
>>> 1.66118e-10
>>> [0] 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.99342e-06 0.
>>> 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. -3.32236e-07 0. 0. -1.99342e-06 0.
>>> 0. -3.32236e-07 0. 0. -3.32236e-07 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0.
>>> 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0.
>>> 0. 1.66118e-10 0. 0. 9.96708e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0.
>>> [0] 0. 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. 1.99342e-06
>>> 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. -3.32236e-07 0. 0. -1.99342e-06
>>> 0. 0. -3.32236e-07 0. 0. -3.32236e-07 0. 0. -6.64472e-10 0. 0. -6.64472e-10
>>> 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10
>>> 0. 0. 1.66118e-10 0. 0. 9.96708e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0.
>>> [0] 0. 0. 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0.
>>> 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0. 0. -3.32236e-07 0. 0.
>>> -1.99342e-06 0. 0. -3.32236e-07 0. 0. -3.32236e-07 0. 0. -6.64472e-10 0. 0.
>>> -6.64472e-10 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0.
>>> -9.96708e-10 0. 0. 1.66118e-10 0. 0. 9.96708e-10 0. 0. 1.66118e-10 0. 0.
>>> 1.66118e-10
>>> [0] 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06 0.
>>> 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. -3.32236e-07 0. 0. -3.32236e-07 0.
>>> 0. -1.99342e-06 0. 0. -3.32236e-07 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0.
>>> 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0.
>>> 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0. 9.96708e-10 0. 0. 1.66118e-10 0. 0.
>>> [0] 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.99342e-06
>>> 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. -3.32236e-07 0. 0. -3.32236e-07
>>> 0. 0. -1.99342e-06 0. 0. -3.32236e-07 0. 0. -9.96708e-10 0. 0. -6.64472e-10
>>> 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10
>>> 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0. 9.96708e-10 0. 0. 1.66118e-10 0.
>>> [0] 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-06 0. 0.
>>> 1.99342e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0. 0. -3.32236e-07 0. 0.
>>> -3.32236e-07 0. 0. -1.99342e-06 0. 0. -3.32236e-07 0. 0. -9.96708e-10 0. 0.
>>> -6.64472e-10 0. 0. -6.64472e-10 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0. 0.
>>> -6.64472e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0. 9.96708e-10 0. 0.
>>> 1.66118e-10
>>> [0] 1.99342e-06 0. 0. 1.99342e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06 0.
>>> 0. 1.32894e-06 0. 0. 1.32894e-06 0. 0. -3.32236e-07 0. 0. -3.32236e-07 0.
>>> 0. -3.32236e-07 0. 0. -1.99342e-06 0. 0. -9.96708e-10 0. 0. -9.96708e-10 0.
>>> 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0.
>>> 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0. 9.96708e-10 0. 0.
>>> [0] 0. 1.99342e-06 0. 0. 1.99342e-06 0. 0. 1.99342e-06 0. 0. 1.32894e-06
>>> 0. 0. 1.32894e-06 0. 0. 1.32894e-06 0. 0. -3.32236e-07 0. 0. -3.32236e-07
>>> 0. 0. -3.32236e-07 0. 0. -1.99342e-06 0. 0. -9.96708e-10 0. 0. -9.96708e-10
>>> 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0. -6.64472e-10
>>> 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0. 9.96708e-10 0.
>>> [0] 0. 0. 1.99342e-06 0. 0. 1.99342e-06 0. 0. 1.99342e-06 0. 0.
>>> 1.32894e-06 0. 0. 1.32894e-06 0. 0. 1.32894e-06 0. 0. -3.32236e-07 0. 0.
>>> -3.32236e-07 0. 0. -3.32236e-07 0. 0. -1.99342e-06 0. 0. -9.96708e-10 0. 0.
>>> -9.96708e-10 0. 0. -9.96708e-10 0. 0. -6.64472e-10 0. 0. -6.64472e-10 0. 0.
>>> -6.64472e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0. 1.66118e-10 0. 0.
>>> 9.96708e-10
>>> [0]PETSC ERROR: #3 DMPlexMatSetClosure() line 5480 in
>>> /home/hartig/petsc/src/dm/impls/plex/plex.c
>>> [0]PETSC ERROR: #4 DMPlexComputeJacobian_Internal() line 2301 in
>>> /home/hartig/petsc/src/snes/utils/dmplexsnes.c
>>> [0]PETSC ERROR: #5 DMPlexTSComputeIJacobianFEM() line 233 in
>>> /home/hartig/petsc/src/ts/utils/dmplexts.c
>>> [0]PETSC ERROR: #6 TSComputeIJacobian_DMLocal() line 131 in
>>> /home/hartig/petsc/src/ts/utils/dmlocalts.c
>>> [0]PETSC ERROR: #7 TSComputeIJacobian() line 882 in
>>> /home/hartig/petsc/src/ts/interface/ts.c
>>> [0]PETSC ERROR: #8 SNESTSFormJacobian_Theta() line 515 in
>>> /home/hartig/petsc/src/ts/impls/implicit/theta/theta.c
>>> [0]PETSC ERROR: #9 SNESTSFormJacobian() line 5044 in
>>> /home/hartig/petsc/src/ts/interface/ts.c
>>> [0]PETSC ERROR: #10 SNESComputeJacobian() line 2276 in
>>> /home/hartig/petsc/src/snes/interface/snes.c
>>> [0]PETSC ERROR: #11 SNESSolve_NEWTONLS() line 222 in
>>> /home/hartig/petsc/src/snes/impls/ls/ls.c
>>> [0]PETSC ERROR: #12 SNESSolve() line 3967 in
>>> /home/hartig/petsc/src/snes/interface/snes.c
>>> [0]PETSC ERROR: #13 TS_SNESSolve() line 171 in
>>> /home/hartig/petsc/src/ts/impls/implicit/theta/theta.c
>>> [0]PETSC ERROR: #14 TSStep_Theta() line 211 in
>>> /home/hartig/petsc/src/ts/impls/implicit/theta/theta.c
>>> [0]PETSC ERROR: #15 TSStep() line 3809 in /home/hartig/petsc/src/ts/inte
>>> rface/ts.c
>>>
>>>
>>
>

-- 
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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