xref: /petsc/src/ts/tutorials/advection-diffusion-reaction/output/ex3_1.out (revision 70646cd191a02c3aba559ba717dac5da7a8a1e20)
10 TS dt 8.33333e-06 time 0.
21 TS dt 8.33333e-05 time 8.33333e-06
32 TS dt 0.000833333 time 9.16667e-05
43 TS dt 0.00833333 time 0.000925
54 TS dt 0.0132237 time 0.00925833
65 TS dt 0.0132566 time 0.022482
76 TS dt 0.0132919 time 0.0357387
87 TS dt 0.0133226 time 0.0490305
98 TS dt 0.0133482 time 0.0623531
109 TS dt 0.0133897 time 0.0757014
1110 TS dt 0.0134319 time 0.0890911
1211 TS dt 0.0134682 time 0.102523
1312 TS dt 0.0134977 time 0.115991
1413 TS dt 0.0135237 time 0.129489
1514 TS dt 0.00490871 time 0.133782
1615 TS dt 0.010074 time 0.138691
1716 TS dt 0.0135707 time 0.148765
1817 TS dt 0.013607 time 0.162336
1918 TS dt 0.00443555 time 0.165994
2019 TS dt 0.00853853 time 0.17043
2120 TS dt 0.0135363 time 0.178968
2221 TS dt 0.0136954 time 0.192504
2322 TS dt 0.00535735 time 0.197245
2423 TS dt 0.0108939 time 0.202602
2524 TS dt 0.0137448 time 0.213496
2625 TS dt 0.0137631 time 0.227241
2726 TS dt 0.00362895 time 0.229783
2827 TS dt 0.00578029 time 0.233412
2928 TS dt 0.0111986 time 0.239193
3029 TS dt 0.013832 time 0.250391
3130 TS dt 0.013781 time 0.264223
3231 TS dt 0.00305704 time 0.26618
3332 TS dt 0.0043779 time 0.269237
3433 TS dt 0.0076831 time 0.273615
3534 TS dt 0.0135611 time 0.281298
3635 TS dt 0.0139794 time 0.29486
3736 TS dt 0.00580298 time 0.299731
3837 TS dt 0.0115935 time 0.305534
39TS Object: 1 MPI process
40  type: arkimex
41    ARK IMEX 3
42    Stiff abscissa       ct =  0.000000  0.871733  0.600000  1.000000
43  Fully implicit: no
44  Stiffly accurate: yes
45  Explicit first stage: yes
46  FSAL property: yes
47    Nonstiff abscissa     c =  0.000000  0.871733  0.600000  1.000000
48  initial time step=8.33333e-06
49  maximum steps=1000
50  maximum time=0.3
51  maximum number of step rejections=10
52  maximum number of SNES failures allowed=1
53  using relative error tolerance of 0.0001,   using absolute error tolerance of 0.0001
54  TSAdapt Object: 1 MPI process
55    type: basic
56    safety factor 0.9
57    extra safety factor after step rejection 0.5
58    clip fastest increase 10.
59    clip fastest decrease 0.1
60    maximum allowed timestep 1e+20
61    minimum allowed timestep 1e-20
62    maximum solution absolute value to be ignored -1.
63  SNES Object: 1 MPI process
64    type: newtonls
65    maximum iterations=50, maximum function evaluations=10000
66    tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
67    norm schedule ALWAYS
68    SNESLineSearch Object: 1 MPI process
69      type: bt
70        interpolation: cubic
71        alpha=1.000000e-04
72      maxlambda=1.000000e+00, minlambda=1.000000e-12
73      tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
74      maximum iterations=40
75    KSP Object: 1 MPI process
76      type: gmres
77        restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
78        happy breakdown tolerance=1e-30
79      maximum iterations=10000, initial guess is zero
80      tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
81      left preconditioning
82      using PRECONDITIONED norm type for convergence test
83    PC Object: 1 MPI process
84      type: mg
85        type is MULTIPLICATIVE, levels=3 cycles=v
86          Cycles per PCApply=1
87          Not using Galerkin computed coarse grid matrices
88      Coarse grid solver -- level 0 -------------------------------
89        KSP Object: (mg_coarse_) 1 MPI process
90          type: preonly
91          maximum iterations=10000, initial guess is zero
92          tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
93          left preconditioning
94          not checking for convergence
95        PC Object: (mg_coarse_) 1 MPI process
96          type: lu
97            out-of-place factorization
98            tolerance for zero pivot 2.22045e-14
99            using diagonal shift on blocks to prevent zero pivot [INBLOCKS]
100            matrix ordering: nd
101            factor fill ratio given 5., needed 1.63333
102              Factored matrix:
103                Mat Object: (mg_coarse_) 1 MPI process
104                  type: seqaij
105                  rows=60, cols=60
106                  package used to perform factorization: petsc
107                  total: nonzeros=294, allocated nonzeros=294
108                    not using I-node routines
109          linear system matrix, which is also used to construct the preconditioner:
110          Mat Object: 1 MPI process
111            type: seqaij
112            rows=60, cols=60
113            total: nonzeros=180, allocated nonzeros=180
114              not using I-node routines
115      Down solver (pre-smoother) on level 1 -------------------------------
116        KSP Object: (mg_levels_1_) 1 MPI process
117          type: chebyshev
118            Chebyshev polynomial of first kind
119            eigenvalue targets used: min 0.1, max 1.1
120            eigenvalues estimated via gmres: min 1., max 1.
121            eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
122            KSP Object: (mg_levels_1_esteig_) 1 MPI process
123              type: gmres
124                restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
125                happy breakdown tolerance=1e-30
126              maximum iterations=10, initial guess is zero
127              tolerances: relative=1e-12, absolute=1e-50, divergence=10000.
128              left preconditioning
129              using PRECONDITIONED norm type for convergence test
130            estimating eigenvalues using a noisy random number generated right-hand side
131          maximum iterations=3, nonzero initial guess
132          tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
133          left preconditioning
134          not checking for convergence
135        PC Object: (mg_levels_1_) 1 MPI process
136          type: sor
137            type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
138          linear system matrix, which is also used to construct the preconditioner:
139          Mat Object: 1 MPI process
140            type: seqaij
141            rows=120, cols=120
142            total: nonzeros=360, allocated nonzeros=360
143              not using I-node routines
144      Up solver (post-smoother) same as down solver (pre-smoother)
145      Down solver (pre-smoother) on level 2 -------------------------------
146        KSP Object: (mg_levels_2_) 1 MPI process
147          type: chebyshev
148            Chebyshev polynomial of first kind
149            eigenvalue targets used: min 0.1, max 1.1
150            eigenvalues estimated via gmres: min 1., max 1.
151            eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
152            KSP Object: (mg_levels_2_esteig_) 1 MPI process
153              type: gmres
154                restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
155                happy breakdown tolerance=1e-30
156              maximum iterations=10, initial guess is zero
157              tolerances: relative=1e-12, absolute=1e-50, divergence=10000.
158              left preconditioning
159              using PRECONDITIONED norm type for convergence test
160            estimating eigenvalues using a noisy random number generated right-hand side
161          maximum iterations=3, nonzero initial guess
162          tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
163          left preconditioning
164          not checking for convergence
165        PC Object: (mg_levels_2_) 1 MPI process
166          type: sor
167            type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
168          linear system matrix, which is also used to construct the preconditioner:
169          Mat Object: 1 MPI process
170            type: seqaij
171            rows=240, cols=240
172            total: nonzeros=720, allocated nonzeros=720
173              not using I-node routines
174      Up solver (post-smoother) same as down solver (pre-smoother)
175      linear system matrix, which is also used to construct the preconditioner:
176      Mat Object: 1 MPI process
177        type: seqaij
178        rows=240, cols=240
179        total: nonzeros=720, allocated nonzeros=720
180          not using I-node routines
181