xref: /petsc/src/ts/tutorials/advection-diffusion-reaction/output/ex3_1_alt_3.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 0.00494253 time 0.133832
1615 TS dt 0.0101592 time 0.138775
1716 TS dt 0.0135719 time 0.148934
1817 TS dt 0.0136045 time 0.162506
1918 TS dt 0.00437533 time 0.16608
2019 TS dt 0.00831549 time 0.170455
2120 TS dt 0.013504 time 0.17877
2221 TS dt 0.0136927 time 0.192274
2322 TS dt 0.00553705 time 0.19724
2423 TS dt 0.010971 time 0.202777
2524 TS dt 0.0137439 time 0.213748
2625 TS dt 0.0137512 time 0.227492
2726 TS dt 0.00340744 time 0.229825
2827 TS dt 0.00522351 time 0.233233
2928 TS dt 0.00987025 time 0.238456
3029 TS dt 0.0138095 time 0.248327
3130 TS dt 0.0138628 time 0.262136
3231 TS dt 0.00395333 time 0.264939
3332 TS dt 0.00660476 time 0.268892
3433 TS dt 0.0126727 time 0.275497
3534 TS dt 0.0139527 time 0.288169
3635 TS dt 0.0132832 time 0.302122
37TS Object: 1 MPI process
38  type: arkimex
39    ARK IMEX 3
40    Stiff abscissa       ct =  0.000000  0.871733  0.600000  1.000000
41  Fully implicit: no
42  Stiffly accurate: yes
43  Explicit first stage: yes
44  FSAL property: yes
45    Nonstiff abscissa     c =  0.000000  0.871733  0.600000  1.000000
46  initial time step=8.33333e-06
47  maximum steps=1000
48  maximum time=0.3
49  maximum number of step rejections=10
50  maximum number of SNES failures allowed=1
51  using relative error tolerance of 0.0001,   using absolute error tolerance of 0.0001
52  TSAdapt Object: 1 MPI process
53    type: basic
54    safety factor 0.9
55    extra safety factor after step rejection 0.5
56    clip fastest increase 10.
57    clip fastest decrease 0.1
58    maximum allowed timestep 1e+20
59    minimum allowed timestep 1e-20
60    maximum solution absolute value to be ignored -1.
61  SNES Object: 1 MPI process
62    type: newtonls
63    maximum iterations=50, maximum function evaluations=10000
64    tolerances: relative=1e-08, absolute=1e-50, solution=1e-08
65    norm schedule ALWAYS
66    SNESLineSearch Object: 1 MPI process
67      type: bt
68        interpolation: cubic
69        alpha=1.000000e-04
70      maxlambda=1.000000e+00, minlambda=1.000000e-12
71      tolerances: relative=1.000000e-08, absolute=1.000000e-15, lambda=1.000000e-08
72      maximum iterations=40
73    KSP Object: 1 MPI process
74      type: gmres
75        restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
76        happy breakdown tolerance=1e-30
77      maximum iterations=10000, initial guess is zero
78      tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
79      left preconditioning
80      using PRECONDITIONED norm type for convergence test
81    PC Object: 1 MPI process
82      type: mg
83        type is MULTIPLICATIVE, levels=3 cycles=v
84          Cycles per PCApply=1
85          Not using Galerkin computed coarse grid matrices
86      Coarse grid solver -- level 0 -------------------------------
87        KSP Object: (mg_coarse_) 1 MPI process
88          type: preonly
89          maximum iterations=10000, initial guess is zero
90          tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
91          left preconditioning
92          not checking for convergence
93        PC Object: (mg_coarse_) 1 MPI process
94          type: lu
95            out-of-place factorization
96            tolerance for zero pivot 2.22045e-14
97            using diagonal shift on blocks to prevent zero pivot [INBLOCKS]
98            matrix ordering: nd
99            factor fill ratio given 5., needed 1.63333
100              Factored matrix:
101                Mat Object: (mg_coarse_) 1 MPI process
102                  type: seqaij
103                  rows=60, cols=60
104                  package used to perform factorization: petsc
105                  total: nonzeros=294, allocated nonzeros=294
106                    not using I-node routines
107          linear system matrix, which is also used to construct the preconditioner:
108          Mat Object: 1 MPI process
109            type: seqaij
110            rows=60, cols=60
111            total: nonzeros=180, allocated nonzeros=180
112              not using I-node routines
113      Down solver (pre-smoother) on level 1 -------------------------------
114        KSP Object: (mg_levels_1_) 1 MPI process
115          type: chebyshev
116            Chebyshev polynomial of first kind
117            eigenvalue targets used: min 0.1, max 1.1
118            eigenvalues estimated via gmres: min 1., max 1.
119            eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
120            KSP Object: (mg_levels_1_esteig_) 1 MPI process
121              type: gmres
122                restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
123                happy breakdown tolerance=1e-30
124              maximum iterations=10, initial guess is zero
125              tolerances: relative=1e-12, absolute=1e-50, divergence=10000.
126              left preconditioning
127              using PRECONDITIONED norm type for convergence test
128            estimating eigenvalues using a noisy random number generated right-hand side
129          maximum iterations=3, nonzero initial guess
130          tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
131          left preconditioning
132          not checking for convergence
133        PC Object: (mg_levels_1_) 1 MPI process
134          type: sor
135            type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
136          linear system matrix, which is also used to construct the preconditioner:
137          Mat Object: 1 MPI process
138            type: seqaij
139            rows=120, cols=120
140            total: nonzeros=360, allocated nonzeros=360
141              not using I-node routines
142      Up solver (post-smoother) same as down solver (pre-smoother)
143      Down solver (pre-smoother) on level 2 -------------------------------
144        KSP Object: (mg_levels_2_) 1 MPI process
145          type: chebyshev
146            Chebyshev polynomial of first kind
147            eigenvalue targets used: min 0.1, max 1.1
148            eigenvalues estimated via gmres: min 1., max 1.
149            eigenvalues estimated using gmres with transform: [0. 0.1; 0. 1.1]
150            KSP Object: (mg_levels_2_esteig_) 1 MPI process
151              type: gmres
152                restart=30, using classical (unmodified) Gram-Schmidt orthogonalization with no iterative refinement
153                happy breakdown tolerance=1e-30
154              maximum iterations=10, initial guess is zero
155              tolerances: relative=1e-12, absolute=1e-50, divergence=10000.
156              left preconditioning
157              using PRECONDITIONED norm type for convergence test
158            estimating eigenvalues using a noisy random number generated right-hand side
159          maximum iterations=3, nonzero initial guess
160          tolerances: relative=1e-05, absolute=1e-50, divergence=10000.
161          left preconditioning
162          not checking for convergence
163        PC Object: (mg_levels_2_) 1 MPI process
164          type: sor
165            type = local_symmetric, iterations = 1, local iterations = 1, omega = 1.
166          linear system matrix, which is also used to construct the preconditioner:
167          Mat Object: 1 MPI process
168            type: seqaij
169            rows=240, cols=240
170            total: nonzeros=720, allocated nonzeros=720
171              not using I-node routines
172      Up solver (post-smoother) same as down solver (pre-smoother)
173      linear system matrix, which is also used to construct the preconditioner:
174      Mat Object: 1 MPI process
175        type: seqaij
176        rows=240, cols=240
177        total: nonzeros=720, allocated nonzeros=720
178          not using I-node routines
179