xref: /petsc/src/ts/tutorials/advection-diffusion-reaction/output/ex3_1_alt_2.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 0.0135238 time 0.129489
1514 TS dt 0.00489702 time 0.133796
1615 TS dt 0.0100499 time 0.138693
1716 TS dt 0.0135701 time 0.148743
1817 TS dt 0.0136074 time 0.162313
1918 TS dt 0.00444936 time 0.165984
2019 TS dt 0.00858076 time 0.170433
2120 TS dt 0.013541 time 0.179014
2221 TS dt 0.0136961 time 0.192555
2322 TS dt 0.00532605 time 0.197268
2423 TS dt 0.010851 time 0.202594
2524 TS dt 0.0137439 time 0.213445
2625 TS dt 0.0137662 time 0.227189
2726 TS dt 0.00367174 time 0.22978
2827 TS dt 0.00589472 time 0.233452
2928 TS dt 0.0114309 time 0.239346
3029 TS dt 0.0138401 time 0.250777
3130 TS dt 0.0137489 time 0.264617
3231 TS dt 0.00291312 time 0.266458
3332 TS dt 0.00408174 time 0.269371
3433 TS dt 0.00693935 time 0.273453
3534 TS dt 0.0130397 time 0.280392
3635 TS dt 0.0139752 time 0.293432
3736 TS dt 0.0129219 time 0.307407
38TS Object: 1 MPI process
39  type: arkimex
40    ARK IMEX 3
41    Stiff abscissa       ct =  0.000000  0.871733  0.600000  1.000000
42  Fully implicit: no
43  Stiffly accurate: yes
44  Explicit first stage: yes
45  FSAL property: yes
46    Nonstiff abscissa     c =  0.000000  0.871733  0.600000  1.000000
47  initial time step=8.33333e-06
48  maximum steps=1000
49  maximum time=0.3
50  maximum number of step rejections=10
51  maximum number of SNES failures allowed=1
52  using relative error tolerance of 0.0001,   using absolute error tolerance of 0.0001
53  TSAdapt Object: 1 MPI process
54    type: basic
55    safety factor 0.9
56    extra safety factor after step rejection 0.5
57    clip fastest increase 10.
58    clip fastest decrease 0.1
59    maximum allowed timestep 1e+20
60    minimum allowed timestep 1e-20
61    maximum solution absolute value to be ignored -1.
62  SNES Object: 1 MPI process
63    type: newtonls
64    maximum iterations=50, maximum function evaluations=10000
65    tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
66    norm schedule ALWAYS
67    SNESLineSearch Object: 1 MPI process
68      type: bt
69        interpolation: cubic
70        alpha=1.000000e-04
71      maxlambda=1.000000e+00, minlambda=1.000000e-12
72      tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
73      maximum iterations=40
74    KSP Object: 1 MPI process
75      type: gmres
76        restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
77        happy breakdown tolerance=1e-30
78      maximum iterations=10000, initial guess is zero
79      tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
80      left preconditioning
81      using PRECONDITIONED norm type for convergence test
82    PC Object: 1 MPI process
83      type: mg
84        type is MULTIPLICATIVE, levels=3 cycles=v
85          Cycles per PCApply=1
86          Not using Galerkin computed coarse grid matrices
87      Coarse grid solver -- level 0 -------------------------------
88        KSP Object: (mg_coarse_) 1 MPI process
89          type: preonly
90          maximum iterations=10000, initial guess is zero
91          tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
92          left preconditioning
93          not checking for convergence
94        PC Object: (mg_coarse_) 1 MPI process
95          type: lu
96            out-of-place factorization
97            tolerance for zero pivot 2.22045e-14
98            using diagonal shift on blocks to prevent zero pivot [INBLOCKS]
99            matrix ordering: nd
100            factor fill ratio given 5., needed 1.63333
101              Factored matrix:
102                Mat Object: (mg_coarse_) 1 MPI process
103                  type: seqaij
104                  rows=60, cols=60
105                  package used to perform factorization: petsc
106                  total: nonzeros=294, allocated nonzeros=294
107                    not using I-node routines
108          linear system matrix, which is also used to construct the preconditioner:
109          Mat Object: 1 MPI process
110            type: seqaij
111            rows=60, cols=60
112            total: nonzeros=180, allocated nonzeros=180
113              not using I-node routines
114      Down solver (pre-smoother) on level 1 -------------------------------
115        KSP Object: (mg_levels_1_) 1 MPI process
116          type: chebyshev
117            Chebyshev polynomial of first kind
118            eigenvalue targets used: min 0.1, max 1.1
119            eigenvalues estimated via gmres: min 1., max 1.
120            eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
121            KSP Object: (mg_levels_1_esteig_) 1 MPI process
122              type: gmres
123                restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
124                happy breakdown tolerance=1e-30
125              maximum iterations=10, initial guess is zero
126              tolerances: relative=1e-12, absolute=1e-50, divergence=10000.
127              left preconditioning
128              using PRECONDITIONED norm type for convergence test
129            estimating eigenvalues using a noisy random number generated right-hand side
130          maximum iterations=3, nonzero initial guess
131          tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
132          left preconditioning
133          not checking for convergence
134        PC Object: (mg_levels_1_) 1 MPI process
135          type: sor
136            type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
137          linear system matrix, which is also used to construct the preconditioner:
138          Mat Object: 1 MPI process
139            type: seqaij
140            rows=120, cols=120
141            total: nonzeros=360, allocated nonzeros=360
142              not using I-node routines
143      Up solver (post-smoother) same as down solver (pre-smoother)
144      Down solver (pre-smoother) on level 2 -------------------------------
145        KSP Object: (mg_levels_2_) 1 MPI process
146          type: chebyshev
147            Chebyshev polynomial of first kind
148            eigenvalue targets used: min 0.1, max 1.1
149            eigenvalues estimated via gmres: min 1., max 1.
150            eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
151            KSP Object: (mg_levels_2_esteig_) 1 MPI process
152              type: gmres
153                restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
154                happy breakdown tolerance=1e-30
155              maximum iterations=10, initial guess is zero
156              tolerances: relative=1e-12, absolute=1e-50, divergence=10000.
157              left preconditioning
158              using PRECONDITIONED norm type for convergence test
159            estimating eigenvalues using a noisy random number generated right-hand side
160          maximum iterations=3, nonzero initial guess
161          tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
162          left preconditioning
163          not checking for convergence
164        PC Object: (mg_levels_2_) 1 MPI process
165          type: sor
166            type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
167          linear system matrix, which is also used to construct the preconditioner:
168          Mat Object: 1 MPI process
169            type: seqaij
170            rows=240, cols=240
171            total: nonzeros=720, allocated nonzeros=720
172              not using I-node routines
173      Up solver (post-smoother) same as down solver (pre-smoother)
174      linear system matrix, which is also used to construct the preconditioner:
175      Mat Object: 1 MPI process
176        type: seqaij
177        rows=240, cols=240
178        total: nonzeros=720, allocated nonzeros=720
179          not using I-node routines
180