On Fri, Mar 3, 2017 at 12:56 PM, Sander Arens <sander.ar...@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.t...@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.har...@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. 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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