Ok thank you, so can I just do something along the lines of: PetscSectionGetFieldConstraintDof(…) to find the overconstrained vertices and then correct them manually with PetscSectionSetFieldConstraintDof() PetscSectionSetFieldConstraintIndices() ?
Or will this mess up the Jacobian and the iFunction? Thanks, Max > On 7 Mar 2017, at 18:21, Matthew Knepley <[email protected]> wrote: > > On Tue, Mar 7, 2017 at 11:11 AM, Maximilian Hartig <[email protected] > <mailto:[email protected]>> wrote: > >> On 7 Mar 2017, at 16:29, Matthew Knepley <[email protected] >> <mailto:[email protected]>> wrote: >> >> On Tue, Mar 7, 2017 at 3:28 AM, Maximilian Hartig <[email protected] >> <mailto:[email protected]>> wrote: >> It seems you are correct. In theory, the problem should not be over >> constrained. It is 1/4 of a simple hollow cylinder geometry with rotational >> symmetry around the z-axis. I restrict movement completely on the upper and >> lower (z) end as well as movement in x- and y- direction respectively on the >> symmetry planes. >> I am not completely sure what I am looking at with the output of >> -dm_petscsection_view. But these lines struck me as odd: >> >> >> (5167) dim 3 offset 0 constrained 0 1 1 2 >> (5168) dim 3 offset 6 constrained 0 1 1 2 >> . >> . >> . >> (5262) dim 3 offset 0 constrained 0 0 1 2 >> (5263) dim 3 offset 6 constrained 0 0 1 2 >> >> >> It seems that vertices that are part of the closures of both Face Sets get >> restricted twice in their respective degree of freedom. >> >> Yes, that is exactly what happens. >> >> This does however also happen when restricting movement in x- direction only >> for upper and lower faces. In that case without the solver producing an >> error: >> (20770) dim 3 offset 24 constrained 0 0 >> (20771) dim 3 offset 30 constrained 0 0 >> (20772) dim 3 offset 36 constrained 0 0 >> (20773) dim 3 offset 42 constrained 0 0 >> >> The fact that this does not SEGV is just luck. >> >> Now, I did not put in any guard against this because I was not sure what >> should happen. We could error if a local index is repeated, or >> we could ignore it. This seems unsafe if you try to constrain it with two >> different values, but there is no way for me to tell if the values are >> compatible. Thus I just believed whatever the user told me. >> >> What is the intention here? It would be straightforward to ignore duplicates >> I guess. > > Yes, ignoring duplicates would solve the problem then. I can think of no > example where imposing two different Dirichlet BC on the same DOF of the same > vertex would make sense (I might be wrong of course). That means the only > issue is to determine wether the first or the second BC is the correct one to > be imposed. > I don’t know how I could filter out the vertices in question from the Label. > I use GMSH to construct my meshes and could create a label for the edges > without too much effort. But I cannot see an easy way to exclude them when > imposing the BC. > I tried to figure out where PETSC actually imposes the BC but got lost a bit > in the source. Could you kindly point me towards the location? > > It is in stages. > > 1) You make a structure with AddBoundary() that has a Label and function for > boundary values > > 2) The PetscSection gets created with stores which points have constraints > and which components they affect > > 3) When global Vecs are made, these constraints are left out > > 4) When local Vecs are made, they are left in > > 5) DMPlexInsertBoundaryValues() is called on local Vecs, and puts in the > values from your functions. This usually happens > when you copy the solutions values from the global Vec to a local Vec to > being assembly. > > Thanks, > > Matt > > Thanks, > Max > > >> >> Thanks, >> >> Matt >> >> Thanks, >> Max >> >>> On 6 Mar 2017, at 14:43, Matthew Knepley <[email protected] >>> <mailto:[email protected]>> wrote: >>> >>> On Mon, Mar 6, 2017 at 8:38 AM, Maximilian Hartig <[email protected] >>> <mailto:[email protected]>> wrote: >>> Of course, please find the source as well as the mesh attached below. I run >>> with: >>> >>> -def_petscspace_order 2 -vel_petscspace_order 2 -snes_monitor >>> -snes_converged_reason -ksp_converged_reason -ksp_monitor _true_residual >>> -ksp_type fgmres -pc_type sor >>> >>> This sounds like over-constraining a point to me. I will try and run it >>> soon, but I have a full schedule this week. The easiest >>> way to see if this is happening should be to print out the Section that >>> gets made >>> >>> -dm_petscsection_view >>> >>> Thanks, >>> >>> Matt >>> >>> Thanks, >>> Max >>> >>> >>> >>> >>>> On 4 Mar 2017, at 11:34, Sander Arens <[email protected] >>>> <mailto:[email protected]>> wrote: >>>> >>>> Hmm, strange you also get the error in serial. Can you maybe send a >>>> minimal working which demonstrates the error? >>>> >>>> Thanks, >>>> Sander >>>> >>>> On 3 March 2017 at 23:07, Maximilian Hartig <[email protected] >>>> <mailto:[email protected]>> wrote: >>>> Yes Sander, your assessment is correct. I use DMPlex and specify the BC >>>> using DMLabel. I do however get this error also when running in serial. >>>> >>>> Thanks, >>>> Max >>>> >>>>> On 3 Mar 2017, at 22:14, Matthew Knepley <[email protected] >>>>> <mailto:[email protected]>> wrote: >>>>> >>>>> On Fri, Mar 3, 2017 at 12:56 PM, Sander Arens <[email protected] >>>>> <mailto:[email protected]>> 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 <[email protected] >>>>> <mailto:[email protected]>> 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 >>>>> <[email protected] <mailto:[email protected]>> 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 >>>>> <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 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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/interface/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 >>>> >>>> >>> >>> >>> >>> >>> >>> -- >>> 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 >> >> >> >> >> -- >> 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 > > > > > -- > 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
